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Buildings
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New Reinforcement Technologies Applied in Slope and Foundation
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New Reinforcement Technologies Applied in Slope and Foundation

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 2099

Special Issue Editors

Prof. Dr. Changfu Chen

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Guest Editor
College of Civil Engineering, Hunan University, Changsha 410082, China
Interests: slope stability analysis; foundation treatment; geotechnical testing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jianfeng Zhu

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, ZheJiang University of Science and Technology, Hangzhou 310023, China
Interests: soil improvement; bio-geotechnical engineering; constitutive model of soil and stabilized soil
Special Issues, Collections and Topics in MDPI journals
Dr. Renhua Tang

E-Mail Website
Guest Editor
School of Civil Engineering, Changsha University, Changsha 410022, China
Interests: reliability of retaining structure
Dr. Genbao Zhang

E-Mail Website
Guest Editor
College of Civil Engineering, Hunan City University, Yiyang 413000, China
Interests: geotechnical anchorage; functionalization of geotechnical materials; energy geotechnics
Special Issues, Collections and Topics in MDPI journals
Dr. Shimin Zhu

E-Mail Website
Guest Editor
School of Civil Engineering, Ludong University, Yantai 264025, China
Interests: ground anchors; rheological behavior of geotechnical materials; soil–structure interaction

Special Issue Information

Dear Colleagues,

With the increase in natural hazards and human activities, the safety problems in geotechnical engineering are becoming more and more prominent. Slope support and foundation treatment are two important fields of geotechnical engineering. In recent years, some new materials and new technologies have been developed. Some of them are still in the research stage, and some have already been applied to engineering practice. The emergence of new materials and new technologies has promoted the development of slope and foundation reinforcement and has made those engineering projects safer, more economical, and even greener. The physical and mechanical properties need to be fully understood if a new material is to be employed, especially for their properties in the same environmental conditions as the actual project. In addition, the use of new materials and new technologies will also make the load–displacement behaviors and bearing performance of the supporting structure different from the conventional situation. Therefore, corresponding theoretical modeling and numerical simulation studies are necessary.

In this Special Issue of Buildings, titled “New Reinforcement Technologies Applied in Slope and Foundation”, authors are invited to submit high-quality original papers related to the properties of new materials, analyses for new technologies, numerical simulation, and construction practices. Relevant topics submitted for this Special Issue include, but are not limited to, the following subjects:

  • New geotechnical reinforcement materials;
  • The mechanical behavior of geotechnical materials in complicated environments;
  • New geotechnical reinforcement technology;
  • Slope stability analysis;
  • Foundation treatment;
  • Soil–structure interactions;
  • The bearing performance of ground anchors/soil nails;
  • Composite foundation;
  • The mechanical analysis model of reinforced structures;
  • The performance optimization of geotechnical materials.

Prof. Dr. Changfu Chen
Prof. Dr. Jianfeng Zhu
Dr. Renhua Tang
Dr. Genbao Zhang
Dr. Shimin Zhu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geotechnical reinforcement materials
  • geotechnical reinforcement technology
  • slope stability analysis
  • foundation treatment
  • soil–structure interaction
  • bearing performance
  • mechanical analysis model
  • performance optimization

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Published Papers (3 papers)

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Research

15 pages, 6304 KiB  
Article
Study on GA–ANN-Based Prediction of Paving Time of Cement-Stabilized Layer above Ultra-High-Filled Subgrade
by Wenjie Liu, Wanli Chao, Yuxuan Jin, Fei Yang, Limin Fan, Wuqiao Zhang, Lijian Wu and Changjun Song
Buildings 2024, 14(8), 2312; https://doi.org/10.3390/buildings14082312 - 26 Jul 2024
Viewed by 625
Abstract
In mountainous areas, high-filled subgrade often experiences significant post-construction settlement. Prematurely paving the cement-stabilized gravel layer on an unstable subgrade can easily lead to subsequent cracking. To accurately predict the settlement of high-filled subgrade and determine the appropriate timing for paving the cement-stabilized [...] Read more.
In mountainous areas, high-filled subgrade often experiences significant post-construction settlement. Prematurely paving the cement-stabilized gravel layer on an unstable subgrade can easily lead to subsequent cracking. To accurately predict the settlement of high-filled subgrade and determine the appropriate timing for paving the cement-stabilized layer, this study proposes a subgrade settlement prediction method combining an Artificial Neural Network (ANN) with a Genetic Algorithm (GA). Using monitoring data from a high-filled subgrade on a highway in Hunan Province, China, a GA–ANN model was established to predict settlement curves. The predicted data from the GA–ANN model were compared with measured data and ANN predictions to validate the advantages of using GA–ANN for subgrade settlement prediction. The results indicate that the GA–ANN model significantly outperforms the ANN model due to GA’s ability to provide more reasonable weight biases for ANN through global search optimization. Predictions of settlement data beyond 50 days using both ANN and GA–ANN showed that the GA–ANN prediction curve closely matched the measured curve, with a basic deviation within ±3 mm. In contrast, ANN’s prediction error gradually increased to over 5 mm as the observation time increased, with predicted values lower than measured values, leading to an overly optimistic estimation of early settlement convergence. Based on the predicted data and settlement standards, the estimated timing for laying the stabilized layer was determined. During the laying process, no cracking was observed in the stabilized layer. The project has been in operation for six months, with the road surface in good condition. This study provides a valuable reference for the laying of stabilized layers on similar high-filled and ultra-high-filled subgrades. Full article
(This article belongs to the Special Issue New Reinforcement Technologies Applied in Slope and Foundation)
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12 pages, 2136 KiB  
Article
Evaluation of Heating Time on Vacuum Preloading Treatment
by Chaozhou Zhang, Qionghui Lou, Xiaoliang Wang, Yuanjie Gong, Xiaobing Li and Hongtao Fu
Buildings 2024, 14(6), 1860; https://doi.org/10.3390/buildings14061860 - 19 Jun 2024
Viewed by 456
Abstract
A comparative study of the effect of a vacuum preloading combined intermittent heating method and conventional vacuum preloading treatment was designed and carried out through indoor model tests to investigate the optimal intermittent heating time. It is concluded that the mechanism of vacuum [...] Read more.
A comparative study of the effect of a vacuum preloading combined intermittent heating method and conventional vacuum preloading treatment was designed and carried out through indoor model tests to investigate the optimal intermittent heating time. It is concluded that the mechanism of vacuum preloading combined with the intermittent heating method is to improve the permeability of soil to alleviate the clogging effect, and therefore has a treatment effect far beyond the conventional vacuum preloading method. The results also show that setting a heating time of 120 min and a stopping time of 60 min can obtain the best consolidation effect. Full article
(This article belongs to the Special Issue New Reinforcement Technologies Applied in Slope and Foundation)
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16 pages, 5483 KiB  
Article
A Linear Optimization for Slope Leveling of Ground-Mounted Centralized Photovoltaic Sites
by Yanli Tao, Nan Zheng, Yuanzhe Cheng, Jianfeng Zhu, Weibin Zhong, Yasong Sun, Jianyong Zhao, Baoshun Dong, Yongming Wang and Jinming Ren
Buildings 2024, 14(6), 1858; https://doi.org/10.3390/buildings14061858 - 19 Jun 2024
Viewed by 616
Abstract
Slope leveling is essential for the successful implementation of ground-mounted centralized photovoltaic (PV) plants, but currently, there is a lack of optimization methods available. To address this issue, a linear programming approach has been proposed to optimize PV slope leveling. This method involves [...] Read more.
Slope leveling is essential for the successful implementation of ground-mounted centralized photovoltaic (PV) plants, but currently, there is a lack of optimization methods available. To address this issue, a linear programming approach has been proposed to optimize PV slope leveling. This method involves dividing the field into blocks and grids and using hyperbolic paraboloids to simulate the design surface. By programming in MATLAB, the globally optimal solution for PV slope leveling can be calculated. Engineering case studies have demonstrated that this optimization method can achieve significant cut-and-fill volume savings ranging from 58% to 78%, when compared to the traditional segmented plane method. Additionally, the effectiveness of the optimization method improves with larger site areas and more complex terrains. A parameter analysis considering slope ratio, grid size, and block size reveals that grid size has a minimal impact on cut-and-fill volume, while slope ratio and block size have a significant influence. For typical PV projects, the recommended ranges of slope ratio, grid size, and block size are 3–7%, 5–20 m, and 30–50 m, respectively, for slope leveling design. In summary, the proposed linear optimization method provides an optimal slope leveling scheme for ground-mounted centralized PV plants, with convenient operation and fast computation. Full article
(This article belongs to the Special Issue New Reinforcement Technologies Applied in Slope and Foundation)
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