Buildings

21 pages, 1799 KiB

Open AccessArticle

Fuzzy AHP Approach for Enhancing Excavation Support System Selection in Building Projects: Balancing Safety and Cost-Effectiveness

by Hossam Wefki, Emad Elbeltagi, Ahmed Elgamal, Mansour Alturki, Mohammed K. Alkharisi and Mohammed T. Elnabwy

Buildings 2025, 15(9), 1580; https://doi.org/10.3390/buildings15091580 - 7 May 2025

Viewed by 208

Abstract

Selecting the appropriate excavation support system (ESS) is critical for ensuring construction projects’ safety and cost-effectiveness. Several dynamic factors influence this decision-making process, such as the groundwater table, excavation depth, proximity to neighboring buildings, and soil characteristics. In practice, the selection often depends [...] Read more.

Selecting the appropriate excavation support system (ESS) is critical for ensuring construction projects’ safety and cost-effectiveness. Several dynamic factors influence this decision-making process, such as the groundwater table, excavation depth, proximity to neighboring buildings, and soil characteristics. In practice, the selection often depends heavily on the subjective judgment of experienced professionals in the construction industry. Although the analytical hierarchy process (AHP) is frequently employed to evaluate alternatives using multiple criteria, it fails to adequately account for the subjectivity and uncertainty in converting the decision-maker’s intuition into exact numerical values. To overcome this challenge, this study proposes an enhanced method known as fuzzy AHP. This approach is designed to capture the subjective experiences of experts better and effectively incorporate the uncertainties present in the decision-making process, ultimately aiding in identifying the most suitable ESS. A case study of excavation projects is also included to demonstrate the practical application of the proposed model. By presenting this approach, the study aims to raise awareness within the construction industry about the critical factors to consider when selecting the best excavation support technique for specific projects. Full article

(This article belongs to the Section Construction Management, and Computers & Digitization)

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25 pages, 3798 KiB

Open AccessArticle

Stochastic Optimal Control for Uncertain Structural Systems Under Random Excitations Based on Bayes Optimal Estimation

by Hua Lei, Zhao-Zhong Ying and Zu-Guang Ying

Buildings 2025, 15(9), 1579; https://doi.org/10.3390/buildings15091579 - 7 May 2025

Viewed by 116

Abstract

Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed. In this paper, a stochastic optimal control strategy for uncertain structural systems under random excitations is proposed, based on the [...] Read more.

Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed. In this paper, a stochastic optimal control strategy for uncertain structural systems under random excitations is proposed, based on the minimax stochastic dynamical programming principle and the Bayes optimal estimation method with the combination of stochastic dynamics and Bayes inference. The general description of the stochastic optimal control problem is presented including optimal parameter estimation and optimal state control. For the estimation, the posterior probability density conditional on observation states is expressed using the likelihood function conditional on system parameters according to Bayes’ theorem. The likelihood is replaced by the geometrically averaged likelihood, and the posterior is converted into its logarithmic expression to avoid numerical singularity. The expressions of state statistics are derived based on stochastic dynamics. The statistics are further transformed into those conditional on observation states based on optimal state estimation. Then, the obtained posterior will be more reliable and accurate, and the optimal estimation will greatly reduce uncertain parameter domains. For the control, the minimax strategy is designed by minimizing the performance index for the worst-parameter system, which is obtained by maximizing the performance index based on game theory. The dynamical programming equation for the uncertain system is derived according to the minimax stochastic dynamical programming principle. The worst parameters are determined by the maximization of the equation, and the optimal control is determined by the minimization of the resulting equation. The minimax optimal control by combining the Bayes optimal estimation and minimax stochastic dynamical programming will be more effective and robust. Finally, numerical results for a five-story frame structure under random excitations show the control effectiveness of the proposed strategy. Full article

(This article belongs to the Special Issue The Vibration Control of Building Structures)

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20 pages, 6767 KiB

Open AccessArticle

The Control of Shield Tunnel Construction-Induced Ground Settlement Based on an Optimized Gap Parameter Theory and Three-Dimensional Finite Element Analysis

by Hanzhang Guo, Guangcheng Zhang, Zhihong Wu and Jiaqi Wang

Buildings 2025, 15(9), 1578; https://doi.org/10.3390/buildings15091578 - 7 May 2025

Viewed by 162

Abstract

The ground settlement induced by shield tunnel construction should be carefully monitored and controlled during construction as a compulsory measurement to ensure construction safety. In the existing literature, gap parameter theory is adopted to predict ground settlement; however, the influence of slurry grouting [...] Read more.

The ground settlement induced by shield tunnel construction should be carefully monitored and controlled during construction as a compulsory measurement to ensure construction safety. In the existing literature, gap parameter theory is adopted to predict ground settlement; however, the influence of slurry grouting on ground settlement during the construction process has been ignored. Regarding this drawback, a novel optimized gap parameter theory is proposed and combined with 3D finite element analysis to investigate ground settlement caused by shield tunnel excavation. Considering that construction technology plays an important role in ground settlement, numerical studies are carried out to investigate the sensitivities of the grouting filling ratio, pressure of the tunnel face, and the strata conditions in ground settlement. The practical engineering of Wuhan Metro Line 7 is introduced to verify the superiority of the proposed method. The results show that the proposed method can reflect ground settlement well, compared to the existing methods and the measured data. Then, 3D finite element analysis and orthogonal test are adopted to conduct sensitivity analyses of the grouting fill rate, support pressure ratio, and strata conditions. The results illustrate that the grouting filling rate has the most obvious impact on ground settlement, while the support pressure ratio and strata conditions also have a certain impact on ground settlement. Taking the binary structure stratum of the terrace geological environment of the Yangtze River in Wuhan as the research object, this study employs a three-dimensional numerical simulation approach to analyze six distinct binary structure stratum models. The parameter value ranges, considering formation conditions, are determined through integrated theoretical analysis. Finally, based on the deviation analysis results between the optimized gap parameter theory and numerical simulation, it is concluded that there is no significant difference in the surface settlement values obtained from the two methods. To summarize, the proposed optimized gap parameter theory, combined with the corresponding numerical simulation technology, provides a good tool for the control of ground settlement caused by shield tunnel excavation in complex strata, such as binary structure strata. Full article

(This article belongs to the Special Issue Application of Experiment and Simulation Techniques in Engineering)

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16 pages, 20094 KiB

Open AccessArticle

The Optimal Cost Design of Reinforced Concrete Beams Using an Artificial Neural Network—The Effectiveness of Cost-Optimized Training Data

by Jaemin So, Seungjae Lee, Jonghyeok Seong and Donwoo Lee

Buildings 2025, 15(9), 1577; https://doi.org/10.3390/buildings15091577 - 7 May 2025

Viewed by 180

Abstract

This study presents a method for the automated design of reinforced concrete (RC) beam cross-sections using an artificial neural network (ANN) trained with cost-optimized data generated by the crow search algorithm (CSA). To effectively employ the CSA, recognized for its benefits in addressing [...] Read more.

This study presents a method for the automated design of reinforced concrete (RC) beam cross-sections using an artificial neural network (ANN) trained with cost-optimized data generated by the crow search algorithm (CSA). To effectively employ the CSA, recognized for its benefits in addressing engineering problems among metaheuristic algorithms, the design variables of the RC beam cross-section were mediated. The goal is to improve the design efficiency and prediction accuracy by using data with clear trends derived through metaheuristic optimization. The ANN model is trained with input variables, including the design bending moment and the beam height, and outputs design variables, such as the beam width, number of reinforcement bars, and bar diameters. The model trained with the CSA-optimized data is compared with one trained using randomly generated data. The results show that the CSA-trained model achieves a higher prediction accuracy across all the output variables, with a particularly strong linear relationship for beam width. Additionally, a design scenario demonstrates that the CSA-based model can propose a cross-section with an approximately 17.3% cost reduction compared to the random model. The design based on the CSA methodology demonstrates greater efficiency, as it employs a smaller value for the beam width and requires less reinforcement while still satisfying the flexural requirements. Conversely, the design utilizing the random dataset proves inefficient in terms of both the value for the beam width and the reinforcement layout. A SHAP analysis further confirms that the CSA-based model learns more meaningful structural relationships. The findings emphasize the critical role of high-quality training data in ANN-based structural design and suggest the potential for extending the framework to multi-objective design tasks. Full article

(This article belongs to the Special Issue Emerging Trends in Machine Learning for Structural Engineering: Innovations and Applications)

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22 pages, 6236 KiB

Open AccessArticle

Improvement in Early-Age Strength and Durability of Precast Concrete by Shrinkage-Reducing C-S-H

by Peiyun Yu, Shuming Li, Chi Zhang, Xinguo Zheng, Tao Wang, Xianghui Liu and Yongjian Pan

Buildings 2025, 15(9), 1576; https://doi.org/10.3390/buildings15091576 - 7 May 2025

Viewed by 180

Abstract

In order to improve early-age strength, steam curing is mostly used for railway prefabricated components, which consumes a lot of energy and affects the durability of concrete. Synthetic calcium silicate hydrate (C-S-H) has an excellent early-age strength effect, which can improve the early-age [...] Read more.

In order to improve early-age strength, steam curing is mostly used for railway prefabricated components, which consumes a lot of energy and affects the durability of concrete. Synthetic calcium silicate hydrate (C-S-H) has an excellent early-age strength effect, which can improve the early-age strength of concrete and help to reduce the energy consumption of steam curing, but C-S-H will increase the shrinkage of concrete and affect the durability of concrete. In this work, C-S-H/SRPCA was synthesized using a shrinkage-reducing polycarboxylate superplasticizer (SRPCA) in order to increase the early-age strength and decrease the shrinkage of concrete. The effects of 0.5%, 4.0%, and 8.0% C-S-H/SRPCA on the shrinkage and strength of concrete were studied. Meanwhile, the internal mechanism was also explored through cement hydration, the physical aggregation morphology of hydration products, pore structure and classification, and the chemical properties of pore solution. The results suggest that C-S-H/SRPCA can shorten the setting time and accelerate cement hydration. Specifically, when the dosage of C-S-H/SRPCA is 4.0%, the initial setting time of concrete is shortened by 2.5 h and the final setting time is shortened by 6.2 h compared with the control group. As a result, the 1-day compressive strength is effectively increased by 29.5%, and the plastic shrinkage is reduced. In the stage of plastic shrinkage, the plastic shrinkage time of the concrete with 4.0% C-S-H/SRPCA is 4.1 h, which is 6.1 h shorter than that of the control group. In addition, C-S-H/SRPCA decreases the porosity. When the dosage is 4.0%, the porosity of the hardened cement paste at 28 days is reduced by 15% compared with the control group. It lessens the content of the capillary pores at 10–50 nm. At 24 h, the content of 10–50 nm capillary pores in the paste with 4.0% C-S-H/SRPCA is 40% lower than that of the control group. It also reduces the surface tension of the pore solution. The surface tension of the simulated pore solution with 4.0% C-S-H/SRPCA is 34 mN/m, which is 53% of that of the control group, and it inhibits the volatilization of the pore solution. At 28 days, the evaporation rate of the pore solution in the paste with 4.0% C-S-H/SRPCA is 40% lower than that of the control group. Thus, the drying shrinkage of concrete is inhibited. Given the above, at the optimum content of 4.0%, C-S-H/SRPCA improves the 1-day compressive strength of concrete by 29.5%, reduces the 28-day total shrinkage by 21.7%, and restrains the development of microcracks. Full article

(This article belongs to the Special Issue Innovation in Pavement Materials: 2nd Edition)

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22 pages, 6578 KiB

Open AccessArticle

Investigating the Impact of Seasonal Heat Storage on the Thermal and Economic Performance of a Deep Borehole Heat Exchanger: A Numerical Simulation Study

by Boyan Meng, Yang Zhou, Wenwen Chen, Wenxing Luo, Rui Ding, Wanlong Cai and Chaofan Chen

Buildings 2025, 15(9), 1575; https://doi.org/10.3390/buildings15091575 - 7 May 2025

Viewed by 182

Abstract

Deep borehole heat exchanger (DBHE) is a clean and efficient technology that utilizes geothermal energy for building heating. However, continuous heat extraction from a DBHE system can lead to its performance decline over time. In this paper, the seasonal heat extraction and storage [...] Read more.

Deep borehole heat exchanger (DBHE) is a clean and efficient technology that utilizes geothermal energy for building heating. However, continuous heat extraction from a DBHE system can lead to its performance decline over time. In this paper, the seasonal heat extraction and storage of a DBHE were simulated to assess the impact of seasonal heat storage schemes on its thermal and economic performance. The numerical model was constructed based on real project parameters and validated using monitoring data. Simulation results indicate that the extracted heat after storage increases linearly with the injected heat, enabling a straightforward estimation of the storage input to mitigate short-term thermal attenuation of DBHEs under varying storage durations. However, when the same amount of heat was injected annually, DBHE heat extraction still exhibited a declining trend from the third year, suggesting that short-term improvements in heat extraction could not be sustained in the long term. Furthermore, heat storage efficiency improves over time as the surrounding borehole temperature gradually increases, reaching more than 27% after 10 years for all storage scenarios. For the first time, an economic analysis was conducted for DBHE heat storage, revealing that when a solar supplemental heat system is applied, the levelized cost of heat (LCOH) is slightly higher than the base case without storage, except in cases where solar collector costs are excluded. Given the modest thermal and economic improvements, seasonal heat storage is recommended for DBHEs, especially when low-cost surplus heat is readily available. Full article

(This article belongs to the Special Issue Performance Analysis and Design Optimization of Renewable Energy Heating Systems)

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19 pages, 22095 KiB

Open AccessArticle

Experimental and Numerical Investigation of Constant-Amplitude Fatigue Performance in Welded Joints of Steel Tubular Flange Connections for Steel Structures

by Huaguang Ni, Saicong Guo, Shujia Zhang and Honggang Lei

Buildings 2025, 15(9), 1574; https://doi.org/10.3390/buildings15091574 - 7 May 2025

Viewed by 191

Abstract

Welded joints of tubular flange connections (TFCs) for steel structures are prone to cumulative fatigue breakdown under oscillatory loading regimes. This study investigates the constant-amplitude fatigue performance of these welded connections through combined experimental testing and finite element analysis. Seven tubular flange connection [...] Read more.

Welded joints of tubular flange connections (TFCs) for steel structures are prone to cumulative fatigue breakdown under oscillatory loading regimes. This study investigates the constant-amplitude fatigue performance of these welded connections through combined experimental testing and finite element analysis. Seven tubular flange connection specimens were subjected to constant-amplitude fatigue tests, and the nominal stress range approach was employed to establish S-N curves for the TFC welds, which were then compared with existing design codes. Stress concentration behavior at the weld toe was analyzed using ABAQUS finite element software. Macro- and micro-scale examinations of fatigue fracture surfaces were conducted to elucidate the fatigue crack mechanisms. The results demonstrate an allowable stress range of 82.41 MPa at a 2-million-cycle fatigue strength, exceeding the specifications of current fatigue design codes. The finite element analysis shows that there is a significant stress concentration at the weld toe of the steel tube–flange weld, and the uneven stress distribution in the circumferential direction of the weld makes this position more prone to fatigue failure, which is consistent with the experimental phenomena. The derived fatigue design method for TFCs provides practical guidance for engineering applications. Full article

(This article belongs to the Section Building Structures)

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13 pages, 9405 KiB

Open AccessArticle

Microclimate Analysis of Tree Canopies and Green Surface Combinations for Urban Heat Island Mitigation in Los Angeles and Phoenix

by Shaobo Yang and Pablo La Roche

Buildings 2025, 15(9), 1573; https://doi.org/10.3390/buildings15091573 - 7 May 2025

Viewed by 183

Abstract

This research addresses the critical issue of urban heat islands (UHI), in which urban areas experience significantly higher temperatures than their surroundings, adversely affecting human comfort and well-being. Focusing on Inglewood, a city neighboring Los Angeles, California, and Phoenix, Arizona, this study uses [...] Read more.

This research addresses the critical issue of urban heat islands (UHI), in which urban areas experience significantly higher temperatures than their surroundings, adversely affecting human comfort and well-being. Focusing on Inglewood, a city neighboring Los Angeles, California, and Phoenix, Arizona, this study uses a comprehensive methodology involving microclimate analysis-based Universal Thermal Climate Index (UTCI) calculations to assess the impact of horizontal green surfaces and different levels of tree canopies on outdoor thermal stress mitigation. Phoenix was selected due to its hyper-arid desert climate, providing a contrasting context to assess the effectiveness of green infrastructure under extreme heat conditions. The results demonstrate that these interventions effectively reduce strong and moderate heat stress levels (32 °C < UTCI < 38 °C and 26 °C < UTCI < 32 °C); the model with maximum tree canopy achieved an 18.48% reduction in strong heat stress in Inglewood, while combined interventions led to a maximum reduction of 18.92%. However, the findings also reveal that under extreme heat conditions, particularly in hyper-arid environments such as Phoenix, the interventions may have a limited effect, with localized increases in extreme heat stress attributed to microclimate dynamics, reduced vegetation cooling efficiency, and modeling limitations. Despite these challenges, the overall reduction in average UTCI values underscores the potential of integrated green infrastructure strategies for mitigating urban heat stress. This study provides urban planning strategies for integrating these interventions to create more sustainable and resilient urban environments, supporting policymakers and urban planners in their efforts to reduce the effects of UHI. Full article

(This article belongs to the Special Issue Climate-Responsive Architectural and Urban Design)

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26 pages, 10294 KiB

Open AccessArticle

Reshaping Sacred Spaces into Everyday Living: A Morphological and Graph-Based Analysis of Urban Ancestral Temples in Chinese Historic Districts

by Ziyu Liu, Yipin Xu, Yinghao Zhao and Yue Zhao

Buildings 2025, 15(9), 1572; https://doi.org/10.3390/buildings15091572 - 7 May 2025

Viewed by 134

Abstract

Analyzing how urban ritual spaces transform into everyday living environments is crucial for understanding the spatial structure of contemporary historical districts, particularly in the context of ancestral temples. However, existing research often neglects the integration of both building-level and block-level perspectives when examining [...] Read more.

Analyzing how urban ritual spaces transform into everyday living environments is crucial for understanding the spatial structure of contemporary historical districts, particularly in the context of ancestral temples. However, existing research often neglects the integration of both building-level and block-level perspectives when examining such spatial transitions. Grounded in urban morphological principles, we identify the fundamental spatial units of ancestral temples and their surrounding blocks across the early 20th century and the post-1970s era. Using the topological characteristics of an access structure, we construct corresponding network graphs. We then employ embeddedness and conductance metrics to quantify each temple’s changing position within the broader block structure. Moreover, we apply community detection to uncover the structural evolution of clusters in blocks over time. Our findings reveal that, as institutional and cultural factors drive spatial change, ancestral temples exhibit decreased internal cohesion and increased external connectivity. At the block scale, changes in community structure demonstrate how neighborhood clusters transition from a limited number of building-based clusters to everyday living-oriented spatial clusters. These insights highlight the interplay between everyday life demands, land–housing policies, and inherited cultural norms, offering a comprehensive perspective on the secularization of sacred architecture. The framework proposed here not only deepens our understanding of the spatial transformation process but also provides valuable insights for sustainable urban renewal and heritage preservation. Full article

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)

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24 pages, 4359 KiB

Open AccessReview

MSW Incineration Bottom Ash-Based Alkali-Activated Binders as an Eco-Efficient Alternative for Urban Furniture and Paving: Closing the Loop Towards Sustainable Construction Solutions

by Josep Maria Chimenos, Fabian Cuspoca, Alex Maldonado-Alameda, Jofre Mañosa, Joan Ramon Rosell, Ana Andrés, Gerard Faneca and Luisa F. Cabeza

Buildings 2025, 15(9), 1571; https://doi.org/10.3390/buildings15091571 - 7 May 2025

Viewed by 114

Abstract

Innovative approaches in the Portland cement industry, aligned with circular economy principles, offer a promising solution to reduce the environmental impacts. These methods can initially target the architectural elements with lower structural demands, such as urban furniture and paving, before being applied to [...] Read more.

Innovative approaches in the Portland cement industry, aligned with circular economy principles, offer a promising solution to reduce the environmental impacts. These methods can initially target the architectural elements with lower structural demands, such as urban furniture and paving, before being applied to areas with higher cement usage. Alkali-activated binders (AABs) made from secondary resources present a sustainable alternative to Portland cement (PC), promoting resource recovery, conservation, and a low-carbon economy. Incinerator bottom ash (IBA), traditionally landfilled, has shown potential as a precursor for AABs due to its aluminosilicate content. Repurposing IBA for urban furniture and paving transforms it into a valuable secondary resource. Accordingly, this is the first study to utilize IBA as the sole precursor for urban furniture or paving applications. Research, including state-of-the-art studies and proof of concept developed in this work, demonstrates that IBA-based AABs can produce cast concrete suitable for non-structural urban elements, meeting the technical, environmental, and ecotoxicological standards. Using IBA in AAB formulations not only reduces the reliance on primary raw materials but also contributes to significant energy savings in binder production and lowers greenhouse gas (GHG) emissions, resulting in a reduced carbon footprint. Furthermore, producing concrete from local residual resources, such as IBA, facilitates the reintegration of municipal waste into the production cycle at its point of origin, fostering a sustainable approach to urban development and supporting the circular economy. Full article

(This article belongs to the Special Issue Advances in the Implementation of Circular Economy in Buildings)

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19 pages, 4288 KiB

Open AccessArticle

An Experimental Method to Determine the Impact Energy Absorption Capacity of Soils: Factors Affecting the Impact Energy Absorption of Sandy Soils

by Selman Kahraman, İnan Keskin, Halil İbrahim Yumrutas and Ismail Esen

Buildings 2025, 15(9), 1570; https://doi.org/10.3390/buildings15091570 - 7 May 2025

Viewed by 154

Abstract

Energy absorption capacity (EAC) is a parameter that expresses how much energy materials can store or dissipate under an external load or impact. EAC plays a critical role in understanding soil deformations and dynamic stability under impact loads (e.g., falling masses, projectile penetration, [...] Read more.

Energy absorption capacity (EAC) is a parameter that expresses how much energy materials can store or dissipate under an external load or impact. EAC plays a critical role in understanding soil deformations and dynamic stability under impact loads (e.g., falling masses, projectile penetration, blast impacts, or vehicle collisions). Impact loads are sudden and high-accelerated forces that cause soils to deform rapidly and absorb energy differently. Understanding the EAC of soils under impact loads is critical for various geotechnical applications, particularly understanding soil behavior under blast loads, which is critical for military and civil structures, and the reinforcement of soils and design of protective structures that will be subjected to similar sudden impacts. This study aims to develop a novel experimental method and apparatus to evaluate the EAC of sandy soils under controlled laboratory conditions. A custom-designed test device was used to measure impact forces exerted by a metal sphere dropped from a fixed height onto soil samples with varying grain sizes (coarse, medium, and fine) and relative densities (40%, 70%, and 90%) under different moisture conditions (dry, optimum, and wet). The results showed that fine-grained sands exhibited the highest EAC, with absorbed energy values reaching 23.15 J, while coarse-grained sands under dense and saturated conditions exhibited the lowest capacity (22.05 J). An increase in moisture content from dry water content to optimum water content resulted in a moderate increase in energy absorption followed by a slight decrease under saturated conditions. Similarly, higher relative density marginally reduced energy absorption, reflecting reduced soil deformation at higher densities. The study introduces a potentially standardizable testing procedure for assessing soil impact response, providing valuable insights for geotechnical engineering applications, including soil stabilization, pavement design, and impact-resistant infrastructure. Full article

(This article belongs to the Special Issue Next-Generation Smart Construction: Civil Engineering Materials and Technologies)

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20 pages, 12097 KiB

Open AccessArticle

Research on Micro-Intervention Strategies for Energy-Saving Renovation of the Envelope Structures in Existing Brick–Wood Ancient-Style Buildings

by Xingke Zhao, Chenxi Li, Fuduo Ma, Guanyi Jin and Zhilin Shi

Buildings 2025, 15(9), 1569; https://doi.org/10.3390/buildings15091569 - 6 May 2025

Viewed by 224

Abstract

In the global low-carbon era, building energy conservation has achieved significant success. However, especially in the culture and tourism industry, there are many brick–wood buildings that imitate ancient styles. As their appearance authenticity and structural safety must be maintained, energy-saving retrofits face multiple [...] Read more.

In the global low-carbon era, building energy conservation has achieved significant success. However, especially in the culture and tourism industry, there are many brick–wood buildings that imitate ancient styles. As their appearance authenticity and structural safety must be maintained, energy-saving retrofits face multiple constraints. For such buildings, regulating building energy consumption through the renovation of the enclosure structure has practical value in supporting the achievement of carbon peaking and carbon neutrality goals. This study addresses the contradiction between the preserving architectural forms and improving energy efficiency in the energy-saving renovation of brick–wood buildings that imitate ancient styles. It presents a “Three-Micro” technical system grounded in the minimum-intervention principle, integrating micro-intervention implantation, micro-realignment regulation, and micro-renewal iteration. Through modular node design, it combines traditional construction with modern energy-saving techniques and systematically devises an energy-saving retrofit plan for such existing buildings. Through simulation and verification using the case of the Northwest Corner Tower in the Imperial City of Shengjing, the results show that the energy-saving rate of the building itself is 58.47%, while the comprehensive energy-saving rate is 87.56%. Both meet the evaluation criteria for ultra-low energy consumption buildings under the relevant standards, which proves the feasibility of the “Three-Micro” technical system. It provides solutions for the energy-saving renovation of similar buildings, especially those brick–wood buildings that imitate ancient styles and have a high degree of completion (a high level of imitation of ancient architecture). At the same time, it also holds important reference value for the energy-saving renovation of some non-core ancient buildings that are commonly used in everyday life, such as those serving as ticket offices, exhibition halls, administrative offices, etc. Full article

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

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25 pages, 2542 KiB

Open AccessArticle

Identification of Spatial Influencing Factors and Enhancement Strategies for Cultural Tourism Experience in Huizhou Historic Districts

by Yue Yang, Shaoshan Du and Yang Xiao

Buildings 2025, 15(9), 1568; https://doi.org/10.3390/buildings15091568 - 6 May 2025

Viewed by 175

Abstract

Historical blocks are a vital component of urban cultural heritage, serving as a link for regional cultural inheritance and a carrier for showcasing urban charm. Enhancing the quality of cultural tourism experiences in these areas can activate the endogenous momentum of cultural tourism [...] Read more.

Historical blocks are a vital component of urban cultural heritage, serving as a link for regional cultural inheritance and a carrier for showcasing urban charm. Enhancing the quality of cultural tourism experiences in these areas can activate the endogenous momentum of cultural tourism industries and foster a virtuous cycle of cultural heritage conservation and utilization. Currently, research on the relationship between historical block spaces and cultural tourism experiences remains deep, and related theoretical gaps also constrain sustainable revitalization practices. Therefore, in this study, 20 representative historic districts with distinct regional cultural characteristics and well-developed cultural tourism in the Huizhou area were selected as research objects. By integrating multi-source data such as geographic information and Dianping reviews and applying the Partial Least Squares Regression (PLSR) statistical method, this study measures the correlation between the spatial morphology of Huizhou historic districts and cultural tourism experience indicators, identifying spatial influencing factors affecting cultural tourism experiences. The results show a significant correlation between the spatial form characteristics of historic districts and the quality of tourists’ cultural tourism experiences. Specifically, the regression coefficients of architectural space, transportation space, landscape space, and facility space in relation to the quality of cultural tourism experiences are significant at the p < 0.01 level. This paper innovatively conducts research from the perspective of urban design, employing a combined quantitative and qualitative analytical approach. The study fills existing gaps in quantitative analysis and empirical research on the spatial forms of historic districts and cultural tourism experiences and breaks through the limitations of qualitative research on traditional cultural tourism. It provides practical references for the organic protection of historical district buildings in the context of sustainable urban renewal. Full article

(This article belongs to the Special Issue Multi-Dimensional Organic Conservation of Historical Neighborhood Buildings in the Context of Sustainable Urban Renewal—2nd Edition)

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20 pages, 2255 KiB

Open AccessArticle

Toward Symmetry in Accessible Restrooms Design: Integrating KE, RST, and SVM for Optimized Emotional-Functional Alignment

by Zimo Chen, Jingwen Tian, Hongtao Zhou and Duan Wu

Buildings 2025, 15(9), 1567; https://doi.org/10.3390/buildings15091567 - 6 May 2025

Viewed by 118

Abstract

Accessible restrooms must reconcile code-based functionality with the affective expectations of disabled users. This study develops an integrated Kansei Engineering (KE)–Rough Set Theory (RST)–Support Vector Machine (SVM) workflow that converts user emotions into verifiable design guidelines. Surveys and semi-structured interviews with 50 disabled [...] Read more.

Accessible restrooms must reconcile code-based functionality with the affective expectations of disabled users. This study develops an integrated Kansei Engineering (KE)–Rough Set Theory (RST)–Support Vector Machine (SVM) workflow that converts user emotions into verifiable design guidelines. Surveys and semi-structured interviews with 50 disabled participants produced nine Kansei words; factor analysis extracted three principal emotional factors—tidiness, utility and care—capturing 75.8% of total variance. The morphological decomposition of 60 restroom samples yielded 41 design attributes, from which RST attribute reduction isolated six critical features. An SVR model with a radial-basis kernel, trained on 90% of the data and validated on the remaining 10%, achieved R² = 0.931 and RMSE = 0.085. The exhaustive prediction of 15,750 feasible design combinations pinpointed an optimal configuration; follow-up user testing confirmed the improvement in satisfaction (mean 5.1 on a seven-point scale). The KE–RST–SVM workflow thus offers a reproducible, data-driven path for harmonizing emotional and functional objectives in inclusive restroom design, and can be extended to other barrier-free facilities. Full article

(This article belongs to the Special Issue Practice and Application of Artificial Intelligence in Urban Decision-Making)

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28 pages, 3009 KiB

Open AccessArticle

Study on the Impact of Combined Action of Temperature Differential and Freeze–Thaw Cycle on the Durability of Cement Concrete

by Chengyun Tao, Lin Dong and Mingyang Suo

Buildings 2025, 15(9), 1566; https://doi.org/10.3390/buildings15091566 - 6 May 2025

Viewed by 132

Abstract

As a primary construction material, concrete plays a vital role in the development of infrastructure, including bridges, highways, and large-scale buildings. In Northeast China, the structural integrity of concrete faces severe challenges due to freeze–thaw cycles and substantial diurnal temperature variations. This study [...] Read more.

As a primary construction material, concrete plays a vital role in the development of infrastructure, including bridges, highways, and large-scale buildings. In Northeast China, the structural integrity of concrete faces severe challenges due to freeze–thaw cycles and substantial diurnal temperature variations. This study involved a thorough examination of concrete’s performance under varying numbers of temperature differential cycling (60 to 300) and freeze–thaw cycles (75 to 300). The results showed that both freeze–thaw and temperature differential cycling led to increasing mass loss with the number of cycles. Peak mass losses reached 3.1% and 1.2% under freeze–thaw and temperature differential cycles, respectively, while the combined action resulted in a maximum mass loss of 4.1%. The variation trends in dynamic elastic modulus and compressive strength differed depending on the environmental conditions. Under identical freeze–thaw cycling, both properties exhibited an initial increase followed by a decrease with increasing temperature differential cycles. After 120 temperature differential cycles, the dynamic modulus and compressive strength increased by 4.7–6.2% and 7.5–10.9%, respectively. These values returned to near their initial levels after 180 cycles and further decreased to reductions of 17.0–22.6% and 15.3–29.4% by the 300th cycle. In contrast, under constant temperature differential cycles, dynamic modulus and compressive strength showed a continuous decline with increasing freeze–thaw cycles, reaching maximum reductions of 5.0–11.5% and 18.1–31.8%, respectively. Notably, the combined effect of temperature differential and freeze–thaw cycles was significantly greater than the sum of their individual effects. Compared to the superposition of separate effects, the combined action amplified the losses in dynamic modulus and compressive strength by factors of up to 3.7 and 1.8, respectively. Additionally, the fatigue life of concrete subjected to combined temperature differential and freeze–thaw cycles followed a two-parameter Weibull distribution. Analysis of the S-N_f curves revealed that the coupled environmental effects significantly accelerated the deterioration of fatigue performance. Full article

(This article belongs to the Section Building Materials, and Repair & Renovation)

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28 pages, 6643 KiB

Open AccessArticle

Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building

by Abtin Baghdadi and Harald Kloft

Buildings 2025, 15(9), 1565; https://doi.org/10.3390/buildings15091565 - 6 May 2025

Viewed by 160

Abstract

This study presents a novel integrated framework for the structural analysis and optimization of multi-floor buildings by combining validated theoretical models with machine learning and evolutionary algorithms. The proposed Process–Action–Response System (PARS-Solution) accurately computes key structural responses—such as deformations, shear forces, and bending [...] Read more.

This study presents a novel integrated framework for the structural analysis and optimization of multi-floor buildings by combining validated theoretical models with machine learning and evolutionary algorithms. The proposed Process–Action–Response System (PARS-Solution) accurately computes key structural responses—such as deformations, shear forces, and bending moments—based on eleven critical design parameters (

P_{1}

to

P_{11}

). The significance of this research lies in its ability to automate and accelerate complex structural analysis using Adaptive Neuro-Fuzzy Inference Systems (ANFISs), achieving an average error of less than 2% in multi-variable prediction scenarios. The results were compared against reference calculations and ETABS simulations to validate its effectiveness, demonstrating deviations of less than 3%. The methodology combines MATLAB-based coding, interpolation from verified reference diagrams, and iterative stiffness adjustment across floors, offering transparency and accuracy. Optimization is performed using Multi-Objective Particle Swarm Optimization (MOPSO), enabling efficient exploration of Pareto-optimal solutions that balance deformation and material usage. Extensive parametric studies reveal the dominant impact of core wall dimensions and floor number on structural efficiency, while the application of stiffness reduction factors (e.g.,

P_{11}

) proves effective in reducing material without compromising performance. This hybrid approach enables the delegation of labor-intensive calculations to a trained ANFIS model and supports rapid pre-validation of structural configurations in early design phases. As such, the framework offers a powerful data-driven tool for engineers seeking optimal, lightweight, and high-performance solutions in high-rise building design. Full article

(This article belongs to the Section Construction Management, and Computers & Digitization)

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17 pages, 279 KiB

Open AccessArticle

Advancing Sustainable Timber Protection: A Comparative Study of International Wood Preservation Regulations and Chile’s Framework Under Environmental, Social, and Governance and Sustainable Development Goal Perspectives

by Consuelo Fritz and Rosemarie Garay

Buildings 2025, 15(9), 1564; https://doi.org/10.3390/buildings15091564 - 6 May 2025

Viewed by 269

Abstract

Wood is an essential construction material because of its renewable nature, versatility, and ability to store carbon, which aids in climate change mitigation. However, its biodegradability requires preservation treatments to prolong its service life and improve its durability. This study compares international wood [...] Read more.

Wood is an essential construction material because of its renewable nature, versatility, and ability to store carbon, which aids in climate change mitigation. However, its biodegradability requires preservation treatments to prolong its service life and improve its durability. This study compares international wood preservation regulations with the Chilean framework and evaluates their alignment with Environmental, Social, and Governance (ESG) criteria and the Sustainable Development Goals (SDGs). The findings reveal a global trend focused on reducing hazardous preservatives like chromated copper arsenate (CCA) while promoting environmentally friendly alternatives. The discussion emphasizes the need for strategic regulatory updates and investment in sustainable wood protection technologies. These efforts are essential for ensuring long-term structural performance, resource efficiency, and market competitiveness. Full article

(This article belongs to the Special Issue Research on Timber and Timber–Concrete Buildings)

29 pages, 4281 KiB

Open AccessReview

Universal Accessibility to Cultural Heritage in Spain: A Bibliometric Review

by Antonio del Bosque, Pablo Fernández-Arias, Patricia Castro-López, María Nieto-Sobrino and Diego Vergara

Buildings 2025, 15(9), 1563; https://doi.org/10.3390/buildings15091563 - 6 May 2025

Viewed by 307

Abstract

Universal accessibility in cultural heritage is a key challenge to ensure the inclusion of all visitors in historical and tourist environments. The aim of this research is to analyze the current state of research on universal accessibility to cultural heritage in Spain, identifying [...] Read more.

Universal accessibility in cultural heritage is a key challenge to ensure the inclusion of all visitors in historical and tourist environments. The aim of this research is to analyze the current state of research on universal accessibility to cultural heritage in Spain, identifying the key institutions, themes, and trends within this field. Additionally, it seeks to assess how these findings relate to national priorities and highlight gaps in the implementation of accessibility measures. This study employed the PRISMA 2020 framework to select and analyze 1035 scientific articles published between 2010 and 2025, retrieved from the Scopus and Web of Science databases. Bibliometrix (an R package) and Biblioshiny were used to analyze the data. The results show an exponential growth in publications since 2018, highlighting key areas such as accessible tourism, digitalization, the use of technologies for heritage documentation, urban planning, and geo-heritage conservation. It is concluded that accessibility in cultural heritage is an expanding interdisciplinary field with increasing international significance. It is recommended to continue exploring innovative technological solutions, strengthen governance strategies, and expand studies to rural and natural environments to ensure truly universal accessibility. Full article

(This article belongs to the Special Issue Assessment, Repair, Maintenance, and Conservation of Existing Buildings: State-of-the-art Methods, Advances, and Case Studies)

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33 pages, 14022 KiB

Open AccessArticle

Evaluating the Urban Heat Island Effect in Montreal: Urban Density, Vegetation, Demographic, and Thermal Landscape Analysis

by Yassine Hedeya, Abdelatif Merabtine and Wahid Maref

Buildings 2025, 15(9), 1562; https://doi.org/10.3390/buildings15091562 - 6 May 2025

Viewed by 292

Abstract

Montreal experiences a significant urban heat island (UHI) effect, potentially intensified by its dense urban structure, varied vegetation, and demographic distribution, leading to substantial outdoor thermal discomfort, especially during heatwaves. To quantify this, measured thermal landscape data were analyzed over several months in [...] Read more.

Montreal experiences a significant urban heat island (UHI) effect, potentially intensified by its dense urban structure, varied vegetation, and demographic distribution, leading to substantial outdoor thermal discomfort, especially during heatwaves. To quantify this, measured thermal landscape data were analyzed over several months in Montreal, including heatwave periods, and outdoor thermal comfort was assessed using the humidex, discomfort index, heat index, and temperature–humidity index. The results indicated notable temperature and humidity variations across the city, with the exceedance of thermal comfort index thresholds being significantly higher during heatwaves (humidex: 10.83%, discomfort index: 53.33%, heat index: 24.77%, temperature–humidity index: 36.67%) compared to normal periods. This study provides a quantitative evaluation of UHI-induced outdoor thermal discomfort in Montreal, emphasizing its severity during heatwaves and analyzing the influence of urban density, vegetation, and anthropogenic emissions, thus offering valuable insights for urban planning strategies to mitigate public health impacts. Full article

(This article belongs to the Special Issue Advanced Research on the Urban Heat Island Effect and Climate)

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32 pages, 22664 KiB

Open AccessArticle

Buckling Behavior of Perforated Cold-Formed Steel Uprights: Experimental Evaluation and Comparative Assessment Using FEM, EWM, and DSM

by George Taranu, Serban Iacob and Nicolae Taranu

Buildings 2025, 15(9), 1561; https://doi.org/10.3390/buildings15091561 - 6 May 2025

Viewed by 338

Abstract

This paper presents an experimental and numerical investigation of the axial compression behavior of perforated cold-formed steel upright profiles commonly used in pallet racking systems. The primary objective is to examine how slenderness influences the failure modes and load-bearing capacity of these structural [...] Read more.

This paper presents an experimental and numerical investigation of the axial compression behavior of perforated cold-formed steel upright profiles commonly used in pallet racking systems. The primary objective is to examine how slenderness influences the failure modes and load-bearing capacity of these structural elements. Three column lengths, representative of typical vertical spacing in industrial rack systems, were tested under pin-ended boundary conditions. All specimens were fabricated from 2 mm thick S355 steel sheets, incorporating web perforations and a central longitudinal stiffener. Experimental results highlighted three distinct failure mechanisms dependent on slenderness: local buckling for short columns (SS-340), combined distortional–flexural buckling for medium-length columns (MS-990), and global flexural buckling for slender columns (TS-1990). Finite Element Method (FEM) models developed using ANSYS Workbench 2021 R1 software accurately replicated the observed deformation patterns, stress concentrations, and load–displacement curves, with numerical results differing by less than 5% from experimental peak loads. Analytical evaluations performed using the Effective Width Method (EWM) and Direct Strength Method (DSM), following EN 1993-1-3 and AISI S100 specifications, indicated that EWM tends to underestimate the ultimate strength by up to 15%, whereas DSM provided results within 2–7% of experimental values, especially when the entire net cross-sectional area was considered fully effective. The originality of the study is the comprehensive evaluation of full-scale, perforated, stiffened cold-formed steel uprights, supported by robust experimental validation and detailed comparative analyses between FEM, EWM, and DSM methodologies. Findings demonstrate that DSM can be reliably applied to perforated sections with moderate slenderness and adequate web stiffening, without requiring further local reduction in the net cross-sectional area. Full article

(This article belongs to the Special Issue Cold-Formed Steel Structures)

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23 pages, 3767 KiB

Open AccessArticle

Multi-Objective Optimization of Natural Lighting Design in Reading Areas of Higher Education Libraries

by Xiao Cui and Chi-Won Ahn

Buildings 2025, 15(9), 1560; https://doi.org/10.3390/buildings15091560 - 5 May 2025

Viewed by 262

Abstract

Effective natural lighting in university library reading areas significantly influences users’ visual comfort, task performance, and energy efficiency. However, existing library lighting designs often exhibit problems such as uneven illumination, excessive glare, and underutilization of natural daylight. To address these challenges, this study [...] Read more.

Effective natural lighting in university library reading areas significantly influences users’ visual comfort, task performance, and energy efficiency. However, existing library lighting designs often exhibit problems such as uneven illumination, excessive glare, and underutilization of natural daylight. To address these challenges, this study proposes a multi-objective optimization framework for library lighting design based on the NSGA-II algorithm. The framework targets the following three key objectives: improving illuminance uniformity, enhancing visual comfort, and reducing lighting energy consumption. The optimization process incorporates four critical visual comfort parameters—desktop illuminance, correlated color temperature, background reflectance, and screen luminance—whose weights were determined using the analytic hierarchy process (AHP) with input from domain experts. A parametric building information model (BIM) was developed in Revit, and lighting simulations were conducted in DIALux Evo to evaluate different design alternatives. Experimental validation was carried out in an actual library setting, with illuminance data collected from five representative measurement points. The results showed that after optimization, lighting uniformity improved from less than 0.1 to 0.6–0.75, glare values (UGR) remained below 22, and daylight area coverage increased by 25%. Moreover, lighting energy consumption was reduced by approximately 20%. Statistical analysis confirmed the significance of the improvements (p < 0.001). This study provides a systematic and reproducible method for optimizing natural lighting in educational spaces and offers practical guidance for energy-efficient and user-centered library design. Full article

(This article belongs to the Special Issue Lighting in Buildings—2nd Edition)

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24 pages, 5386 KiB

Open AccessArticle

Impact of Emotional Design: Improving Sustainable Well-Being Through Bio-Based Tea Waste Materials

by Ming Lei, Shenghua Tan, Pin Gao, Zhiyu Long, Li Sun and Yuekun Dong

Buildings 2025, 15(9), 1559; https://doi.org/10.3390/buildings15091559 - 5 May 2025

Viewed by 373

Abstract

Commercial progress concerning biobased materials has been slow, with success depending on functionality and emotional responses. Emotional interaction research provides a novel way to shift perceptions of biobased materials. This study proposes a human-centered emotional design framework using biobased tea waste to explore [...] Read more.

Commercial progress concerning biobased materials has been slow, with success depending on functionality and emotional responses. Emotional interaction research provides a novel way to shift perceptions of biobased materials. This study proposes a human-centered emotional design framework using biobased tea waste to explore how sensory properties (form, color, odor, surface roughness) shape emotional responses and contribute to sustainable wellbeing. We used a mixed-methods approach combining subjective evaluations (Self-Assessment Manikin scale) with physiological metrics (EEG, skin temperature, pupil dilation) from 24 participants. Results demonstrated that spherical forms and high surface roughness significantly enhanced emotional valence and arousal, while warm-toned yellow samples elicited 23% higher pleasure ratings than dark ones. Neurophysiological data revealed that positive emotions correlated with reduced alpha power in the parietal lobe (αPz, p = 0.03) and a 0.3 °C rise in skin temperature, whereas negative evaluations activated gamma oscillations in central brain regions (γCz, p = 0.02). Mapping these findings to human factors engineering principles, we developed actionable design strategies—such as texture-optimized surfaces and color–emotion pairings—that transform tea waste into emotionally resonant, sustainable products. This work advances emotional design’s role in fostering ecological sustainability and human wellbeing, demonstrating how human-centered engineering can align material functionality with psychological fulfillment. Full article

(This article belongs to the Special Issue Timber in the City: Interior Design and City Environment Development with Wood Materials)

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20 pages, 5373 KiB

Open AccessArticle

Construction and Recording Method of a Three-Dimensional Model to Automatically Manage Thermal Abnormalities in Building Exteriors

by Jonghyeon Yoon, Sangjun Hwang, Kyonghoon Kim and Sanghyo Lee

Buildings 2025, 15(9), 1558; https://doi.org/10.3390/buildings15091558 - 5 May 2025

Viewed by 224

Abstract

This study proposes an automated three-dimensional (3D)-modeling method that combines convolutional neural networks (CNNs) with unmanned aerial vehicle (UAV) technology for the efficient management of thermal anomalies in building exteriors. Conventional 3D-modeling methods for thermal imaging management either require the processing of large [...] Read more.

This study proposes an automated three-dimensional (3D)-modeling method that combines convolutional neural networks (CNNs) with unmanned aerial vehicle (UAV) technology for the efficient management of thermal anomalies in building exteriors. Conventional 3D-modeling methods for thermal imaging management either require the processing of large volumes of data due to the use of thermal distribution information from entire image regions or involve increased processing time when architectural drawings are unavailable. In this study, RGB and infrared (IR) thermal images collected via UAVs were used to automatically detect windows and thermal anomalies using a CNN-based object detection model (YOLOv5). Subsequently, Global Navigation Satellite System (GNSS)-based coordinate data and image metadata were used to convert the resolution coordinates into actual spatial coordinates, which were then vectorized to automatically generate a 3D model. The resulting 3D model demonstrated high similarity to the actual building, accurately representing the locations of thermal anomalies. This method enabled faster, more objective, and more cost-effective maintenance compared to conventional methods, making it especially beneficial for efficiently managing difficult-to-access high-rise buildings. Full article

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

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24 pages, 5543 KiB

Open AccessArticle

Study on the Influence Mechanism of Machine-Learning-Based Built Environment on Urban Vitality in Macau Peninsula

by Chen Pan, Jiaming Guo, Haibo Li, Jiawei Wu, Nengjie Qiu and Shengzhen Wu

Buildings 2025, 15(9), 1557; https://doi.org/10.3390/buildings15091557 - 5 May 2025

Viewed by 451

Abstract

Clarifying the mechanisms by which the micro-scale built environment influences urban vitality is an important scientific challenge, to guide precise urban planning in the context of urban renewal. In this study, we quantify the intensity of human activities through Baidu heat maps, analyze [...] Read more.

Clarifying the mechanisms by which the micro-scale built environment influences urban vitality is an important scientific challenge, to guide precise urban planning in the context of urban renewal. In this study, we quantify the intensity of human activities through Baidu heat maps, analyze social interaction patterns using social media check-in data, and integrate built environment elements such as road network topology, 3D building morphology, and the spatial distribution of points of interest (POIs). A machine learning technique combining a real-encoded Accelerated Genetic Algorithm-Projective Pathfinding Model (RAGA-PPM) and Shapley Additive Projection for Interpretability (SHAP) for Interpretability Analysis (IPA) was used to investigate the nonlinear mechanisms of 17 factors affecting urban vitality in Macau Peninsula, China. Firstly, the explanatory power of the built environment for comprehensive vitality was significantly better than the other dimensions. Two factors, population vitality and microblogging check-in vitality, contributed the most to the composite vitality value. Secondly, road network density was the most important built environment factor affecting urban vitality in Macau Peninsula (SHAP = 0.025). Finally, the impacts of built environment factors on urban vitality showed nonlinearities, and the threshold effects of the core factors (road network density, spatial fractal dimension, and openness to the sky) showed a consistent neighborhood-level pattern. This study establishes a framework for micro-vitality mechanisms in high-density cities, addressing the limitations of traditional methods in modeling complex nonlinear relationships. The methodological integration of RAGA-PPM and SHAP advances the innovative paradigm of applying interpretable machine learning to the study of urban form. Full article

(This article belongs to the Special Issue Practice and Application of Artificial Intelligence in Urban Decision-Making)

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22 pages, 6871 KiB

Open AccessArticle

Simulation and Analysis of the Constraint Effects of Multi-Cavity Double Steel Plate Composite Walls

by Muxuan Tao, Yulun Wang and Jizhi Zhao

Buildings 2025, 15(9), 1556; https://doi.org/10.3390/buildings15091556 - 5 May 2025

Viewed by 270

Abstract

Multi-cavity double steel plate–concrete composite structures are composed of two layers of steel plates, accompanied by steel flanges, diaphragms, and a core of concrete. Thanks to their exceptional mechanical attributes, these structures have gained widespread adoption in the field of wind power engineering. [...] Read more.

Multi-cavity double steel plate–concrete composite structures are composed of two layers of steel plates, accompanied by steel flanges, diaphragms, and a core of concrete. Thanks to their exceptional mechanical attributes, these structures have gained widespread adoption in the field of wind power engineering. The outer steel plates exert a notable confinement on the concrete filling. Nonetheless, there remains a lack of a constitutive model specifically tailored for concrete under confinement within the field of multi-cavity double steel plate–concrete composite structures. To bridge this gap, our research endeavor involved the creation of approximately 2000 shell–solid finite element models, leading to the derivation of a constitutive model for compressed confined concrete within such structures through regression analysis. Initially, theoretical evaluations were conducted to pinpoint the structural parameters potentially influencing confinement behavior. Thereafter, Abaqus shell–solid finite element models were formulated, and their accuracy was corroborated through experimental validations. By systematically adjusting parameters in batch modelling, regression analysis was conducted. Consequently, a constitutive model tailored for uniaxial compression of concrete in multi-cavity double steel plate–concrete composite structures (MDSCCS) was formulated. According to the results, the strength of confined concrete in MDSCCS can be enhanced by up to 23% under typical configurations, as observed in the benchmark model MDSCCS-1. The proposed regression-based confinement model demonstrates a prediction error of less than 15% in 97.8% of the 1342 finite element models that successfully converged in batch simulations. Full article

(This article belongs to the Special Issue Numerical and Experimental Research on Steel-Concrete Composite Structural Systems)

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15 pages, 7028 KiB

Open AccessArticle

Visual Perception of Environmental Elements Analysis in Historical District Based on Eye-Tracking and Semi-Structured Interview: A Case Study in Xining, Taishan

by Xing Jiang, Xinxiang Wu, Fangting Chen, Zonghan Chen and Ziang Li

Buildings 2025, 15(9), 1554; https://doi.org/10.3390/buildings15091554 - 5 May 2025

Viewed by 294

Abstract

The style and overall urban texture of historic districts embody rich social and cultural values. Therefore, how to make relevant environmental elements effectively perceived visually has become the key to protecting and displaying historic streets. Based on this, the non-subjective eye movement data [...] Read more.

The style and overall urban texture of historic districts embody rich social and cultural values. Therefore, how to make relevant environmental elements effectively perceived visually has become the key to protecting and displaying historic streets. Based on this, the non-subjective eye movement data and subjective impression of the subject were collected through an eye-tracking experiment and semi-structured interview. ErgoLAB was used to generate eye-tracking metrics and heat maps based on eye movement data, and ROST-CM6 software was used to generate word frequency and emotional degree data for interview text. Through comparative analysis, it is found that the subjective and objective evaluation indexes of the subjects tend to be consistent in general, but the visual behavior characteristics of different environmental elements’ types are different. The greater the variety of elements involved in visual perception, the longer the time required for participants to identify the relevant elements. The extent of element distribution also influenced differences in visual perception. Additionally, visual perceptions from partial elevation views and overall human perspective angles were largely similar, with distinctive elements attracting more interest. This study has an exploratory nature, and its findings contribute to the preservation and enhancement of the visual quality of historic districts. Full article

(This article belongs to the Topic Architectures, Materials and Urban Design, 2nd Edition)

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23 pages, 3294 KiB

Open AccessArticle

Analyzing Cost Efficiency and Project Scope in Post-Disaster Housing: Reconstruction Cases of TOKI in Türkiye

by Özlem Geylani

Buildings 2025, 15(9), 1555; https://doi.org/10.3390/buildings15091555 - 4 May 2025

Viewed by 294

Abstract

The Mass Housing Administration of Türkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout Türkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in Türkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In [...] Read more.

The Mass Housing Administration of Türkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout Türkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in Türkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In response, TOKI has completed numerous disaster housing projects across the country through an integrated infrastructure framework supporting community recovery. This study presents an extensive statistical evaluation of 664 disaster housing projects constructed by TOKI across 40 provinces. Specifically, a quantitative analysis is conducted on 434 disaster housing projects for which detailed financial data are available. This research examines differences in construction costs between urban mass housing developments and rural village settlements, particularly focusing on the integration of functional structures such as schools, mosques, commercial units, and barns. Although mass housing projects require significantly larger total budgets due to their extensive scale, statistical analysis reveals no significant difference in per-unit construction costs between mass housing and village housing projects. Regression analysis indicates that incorporating barns increased per-unit construction costs, while the presence of schools and mosques significantly decreases these expenses. The findings of this research provide critical insights into the economic and functional factors influencing disaster housing reconstruction in Türkiye and offer practical recommendations for improved planning, resource management, and community reconstruction based on an evaluation of functional structures. Full article

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)

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37 pages, 7247 KiB

Open AccessArticle

Subjective Evaluation of Place Environmental Quality in Conference and Exhibition Buildings in Small- and Medium-Sized Cities: An Empirical Case Study

by Yuchen Xie, Jianhe Luo and Peng Du

Buildings 2025, 15(9), 1553; https://doi.org/10.3390/buildings15091553 - 4 May 2025

Viewed by 335

Abstract

The environmental quality of conference and exhibition places in small- and medium-sized cities plays a crucial role in attracting exhibitors, fostering the growth of the conference and exhibition industry and enhancing the market competitiveness of these places. However, past decision makers have often [...] Read more.

The environmental quality of conference and exhibition places in small- and medium-sized cities plays a crucial role in attracting exhibitors, fostering the growth of the conference and exhibition industry and enhancing the market competitiveness of these places. However, past decision makers have often adopted planning models from large cities, neglecting the interaction between conference and exhibition places in smaller cities and local lifestyles as well as urban environments. From an “environment-behavior” perspective, this study reveals the unique interaction mechanisms between exhibitors and the built environment within such venues. Moving beyond the limitations of traditional research that focused solely on physical indicators, we place particular emphasis on exhibitors’ behavioral adaptations and their overall exhibition experience in the convention environment. To address this gap, this study employs a mixed-method approach that integrates field surveys, interviews, and questionnaires to systematically collect data from 10 representative cases. First, a preliminary study was conducted to establish an evaluation index system for place environmental quality. Through regression analysis, six key indicators—such as promotional atmosphere, site accessibility, and surrounding urban development conditions—were identified as significant factors influencing place quality. Second, subjective evaluations were conducted based on users’ actual experiences and experts’ professional insights, leading to the development of an importance–performance analysis model to assess value expectations and place environmental performance. The results indicated that users had high expectations for elements such as parking availability, transportation facilities, and the surrounding commercial atmosphere. In contrast, experts emphasized the significance of proximity to urban transportation hubs, site accessibility, and the spatial orientation of public spaces in determining environmental quality. Moreover, differences in evaluations among experts from various fields revealed notable variations in focus and priority considerations. Finally, based on a statistical analysis of the survey results, this study proposes three design recommendations—“adaptation, attraction, and quality enhancement”—to optimize the environmental quality of conference and exhibition places in small- and medium-sized cities, offering both theoretical and practical guidance for future planning, design, and evaluation. Full article

(This article belongs to the Topic Sustainable Built Environment, 2nd Volume)

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19 pages, 3555 KiB

Open AccessArticle

Research on Park Perception and Understanding Methods Based on Multimodal Text–Image Data and Bidirectional Attention Mechanism

by Kangen Chen, Xiuhong Lin, Tao Xia and Rushan Bai

Buildings 2025, 15(9), 1552; https://doi.org/10.3390/buildings15091552 - 4 May 2025

Viewed by 320

Abstract

Parks are an important component of urban ecosystems, yet traditional research often relies on single-modal data, such as text or images alone, making it difficult to comprehensively and accurately capture the complex emotional experiences of visitors and their relationships with the environment. This [...] Read more.

Parks are an important component of urban ecosystems, yet traditional research often relies on single-modal data, such as text or images alone, making it difficult to comprehensively and accurately capture the complex emotional experiences of visitors and their relationships with the environment. This study proposes a park perception and understanding model based on multimodal text–image data and a bidirectional attention mechanism. By integrating text and image data, the model incorporates a bidirectional encoder representations from transformers (BERT)-based text feature extraction module, a Swin Transformer-based image feature extraction module, and a bidirectional cross-attention fusion module, enabling a more precise assessment of visitors’ emotional experiences in parks. Experimental results show that compared to traditional methods such as residual network (ResNet), recurrent neural network (RNN), and long short-term memory (LSTM), the proposed model achieves significant advantages across multiple evaluation metrics, including mean squared error (MSE), mean absolute error (MAE), root mean squared error (RMSE), and the coefficient of determination (R²). Furthermore, using the SHapley Additive exPlanations (SHAP) method, this study identified the key factors influencing visitors’ emotional experiences, such as “water”, “green”, and “sky”, providing a scientific basis for park management and optimization. Full article

(This article belongs to the Special Issue Practice and Application of Artificial Intelligence in Urban Decision-Making)

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22 pages, 13008 KiB

Open AccessArticle

Vibration Performances of a Full-Scale Assembled Integral Two-Way Multi-Ribbed Composite Floor

by Liang Gong, Yan Feng, Wenbin Zhang, Ming Xu and Xiangqiang Zeng

Buildings 2025, 15(9), 1551; https://doi.org/10.3390/buildings15091551 - 4 May 2025

Viewed by 172

Abstract

The static performances of an assembled integral two-way multi-ribbed composite floor system have been studied experimentally and numerically, while the dynamic characteristics and comfort analysis under a human load have not been investigated. In this article, a 9.2 m × 9.2 m floor [...] Read more.

The static performances of an assembled integral two-way multi-ribbed composite floor system have been studied experimentally and numerically, while the dynamic characteristics and comfort analysis under a human load have not been investigated. In this article, a 9.2 m × 9.2 m floor system, composed of 16 precast panels and integrated into a whole structure through six wet joints, was designed and tested under pedestrian loads. Dynamic performances related to its natural frequencies, vibration mode shapes, and maximum acceleration were analyzed. Theoretical formulas were proposed to predict its natural frequency and maximum acceleration under a single-person load. It was found that the dynamic behavior of this innovative floor system meets the requirements of GB50010-2010 and ISO 2631. Elastic plate theory could be applied to predict the natural frequency and acceleration, with the bending stiffness obtained from the experiment. Some design and dynamic test suggestions for this floor system and similar structures are proposed based on a parametric analysis. Full article

(This article belongs to the Special Issue Advances in Novel Precast Concrete Structures)

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