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Buildings
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Engineering Safety Monitoring and Management
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Engineering Safety Monitoring and Management

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

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 11504

Special Issue Editors

Prof. Dr. Bo Yu

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
Interests: concrete structural durability; big data analytics for civil engineering; structural reliability and risk management
Dr. Sin Chi Kuok

E-Mail Website
Guest Editor
1. State Key Laboratory on Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macau 999078, China
2. Department of Engineering Science, University of Cambridge, Cambridge CB21PZ, UK
Interests: Bayesian inference; data-centric analysis; structural health monitoring; machine learning
Dr. Yang Zhang

E-Mail
Guest Editor
State Key Laboratory on Internet of Things for Smart City, University of Macau, Macao 99078, China
Interests: structural health monitoring; artificial intelligence; distributed information management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Engineering safety monitoring throughout the whole life cycle of a construction project can effectively reduce the occurrence of safety accidents and avoid loss of life and property. Engineering safety involves many factors such as structures, materials, machinery, and personnel and requires monitoring and management of a wide range of difficult issues. In recent years, various intelligent monitoring techniques, such as artificial intelligence, have been widely used to promote the development of engineering safety monitoring and management. However, the organic integration of new technologies and engineering safety monitoring and management requires further research.

This Special Issue on “Engineering Safety Monitoring and Management” aims to bring together cutting-edge research advances in engineering safety. We invite you to contribute original research articles or reviews related to the topic, including but not limited to structural health monitoring, structural condition assessment, material performance estimation, construction safety monitoring and management, etc. Moreover, advanced intelligent algorithms or sensing techniques are very welcome. This scope is not exhaustive; therefore, feel free to be inventive!

Prof. Dr. Bo Yu
Dr. Sin Chi Kuok
Dr. Yang Zhang
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

  • structural health monitoring
  • machine learning
  • intelligent algorithms
  • engineering safety
  • construction safety
  • structural condition assessment
  • material performance estimation

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

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Research

Jump to: Review

25 pages, 12007 KiB  
Article
Construction Activity Recognition Method Based on Object Detection, Attention Orientation Estimation, and Person Re-Identification
by Jiaqi Li, Xuefeng Zhao, Lingjie Kong, Lixiao Zhang and Zheng Zou
Buildings 2024, 14(6), 1644; https://doi.org/10.3390/buildings14061644 - 3 Jun 2024
Cited by 1 | Viewed by 1007
Abstract
Recognition and classification for construction activities help to monitor and manage construction workers. Deep learning and computer vision technologies have addressed many limitations of traditional manual methods in complex construction environments. However, distinguishing different workers and establishing a clear recognition logic remain challenging. [...] Read more.
Recognition and classification for construction activities help to monitor and manage construction workers. Deep learning and computer vision technologies have addressed many limitations of traditional manual methods in complex construction environments. However, distinguishing different workers and establishing a clear recognition logic remain challenging. To address these issues, we propose a novel construction activity recognition method that integrates multiple deep learning algorithms. To complete this research, we created three datasets: 727 images for construction entities, 2546 for posture and orientation estimation, and 5455 for worker re-identification. First, a YOLO v5-based model is trained for worker posture and orientation detection. A person re-identification algorithm is then introduced to distinguish workers by tracking their coordinates, body and head orientations, and postures over time, then estimating their attention direction. Additionally, a YOLO v5-based object detection model is developed to identify ten common construction entity objects. The worker’s activity is determined by combining their attentional orientation, positional information, and interaction with detected construction entities. Ten video clips are selected for testing, and a total of 745 instances of workers are detected, achieving an accuracy rate of 88.5%. With further refinement, this method shows promise for a broader application in construction activity recognition, enhancing site management efficiency. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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16 pages, 7873 KiB  
Article
CNN- and UAV-Based Automatic 3D Modeling Methods for Building Exterior Inspection
by Jonghyeon Yoon, Hyunkyu Shin, Kyonghoon Kim and Sanghyo Lee
Buildings 2024, 14(1), 5; https://doi.org/10.3390/buildings14010005 - 19 Dec 2023
Cited by 3 | Viewed by 1554
Abstract
Building maintenance plays an increasingly important role as buildings age. During maintenance, it is necessary to analyze building defects and record their locations when performing exterior inspections. Hence, this study proposes an automatic three-dimensional (3D) modeling method based on image analysis using unmanned [...] Read more.
Building maintenance plays an increasingly important role as buildings age. During maintenance, it is necessary to analyze building defects and record their locations when performing exterior inspections. Hence, this study proposes an automatic three-dimensional (3D) modeling method based on image analysis using unmanned aerial vehicle (UAV) flights and convolutional neural networks. A geographic information system is used to acquire geographic coordinate points (GCPs) for the geometry of the building, and a UAV is flown to collect the GCPs and images, which provide location information on the building elements and defects. Comparisons revealed that the generated 3D models were similar to the actual buildings. Next, the recorded locations of the building defects and the actual locations were examined, and the results confirmed that the defects were generated correctly. Our findings indicated that the proposed method can improve building maintenance. However, it has several limitations, which provide directions for future research. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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33 pages, 15479 KiB  
Article
Experimental and Numerical Study of the Influence of Solar Radiation on the Surface Temperature Field of Low-Heat Concrete in a Pouring Block
by Zhipeng Liang, Huawei Zhou, Chunju Zhao, Fang Wang and Yihong Zhou
Buildings 2023, 13(6), 1519; https://doi.org/10.3390/buildings13061519 - 13 Jun 2023
Cited by 1 | Viewed by 1413
Abstract
With the influence of intense solar radiation heat and the greater temperature difference between day and night, surface concrete with a drastic temperature change can easily experience a great nonlinear temperature difference, which increases the risk of early-age concrete cracking. In this study, [...] Read more.
With the influence of intense solar radiation heat and the greater temperature difference between day and night, surface concrete with a drastic temperature change can easily experience a great nonlinear temperature difference, which increases the risk of early-age concrete cracking. In this study, a distributed optical fiber temperature sensing (DTS) system is used to monitor the surface temperature gradient of concrete in real time, and a solar radiation heat monitoring test is also carried out based on the Baihetan project. Based on this, a solar radiation loading model and a finite element model of a typical pouring block considering solar radiation are established. Combined with the measured temperature data and different calculation conditions, the surface temperature changes of medium-heat and low-heat concrete experiencing solar radiation are analyzed, and the temperature control effect of surface concrete with different surface insulation measures is further analyzed. The results show that the temperature variation of medium-heat concrete at the same depth is more obvious than that of low-heat concrete. Additionally, the temperature variation of low-heat concrete is noticeable within 20 cm of the top surface. In addition, in an intense solar radiation environment, covering the concrete with a 4- or 5-centimeter-thick polyethylene coil can effectively control the surface temperature gradient and maximum daily amplitude of low-heat concrete, and surface concrete cured by running water has a significant temperature control effect. Therefore, it is suggested that 22–24 °C water temperatures be used for water curing during periods of intense solar radiation during the day and a 4-centimeter-thick polyethylene coil be used for coverage at night. These study results have been employed in the Baihetan project to optimize the temperature control scheme of the pouring blocks. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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18 pages, 5469 KiB  
Article
Wind Buckling Analysis of a Large-Scale Open-Topped Steel Tank with Harmonic Settlement-Induced Imperfection
by Bingcai Sun, Duanzhu Ma, Lei Gao, Mingchuan He, Zengli Peng, Xin Li and Wenhua Wang
Buildings 2022, 12(11), 1973; https://doi.org/10.3390/buildings12111973 - 14 Nov 2022
Cited by 7 | Viewed by 2134
Abstract
In this study, the wind buckling capacity of an open-topped steel tank with harmonic settlement-induced imperfection is numerically investigated. Although the single effect of the wind load or differential settlement on the open-topped steel tanks is widely studied, the interaction of the two [...] Read more.
In this study, the wind buckling capacity of an open-topped steel tank with harmonic settlement-induced imperfection is numerically investigated. Although the single effect of the wind load or differential settlement on the open-topped steel tanks is widely studied, the interaction of the two loads to the tank shell is scarcely examined. The prototype of a 100,000 m3 open-topped steel tank with a floating roof is selected, and the harmonic settlements (wave numbers n = 2, 3, and 4) and the wind profile considering internal pressure (EN 1993-4-1) are applied. Firstly, the finite element model is established and validated by the replication of peer-reviewed research. Then, the wind buckling analysis of the tank shell with harmonic settlement-induced imperfection is studied. Next, the effects of the harmonic settlement-induced imperfection (HSII) and the wind attack angle (WAA) on the wind buckling capacity are discussed. The results show that the effect of the HSII on the wind buckling capacity is complex. When the wind attack angle is the case of β=0°, the wind load capacities (λcig) with HSIIs decrease to 73.4% (wave number n=2), 37.5% (wave number n=3) and 41.3% (wave number n=4) of the non-settlement wind load capacity (λcg). Given that the case of β=0° is the basis, when the harmonic settlement level is low, such as settlement load No.1 and No.2, the biggest increase of wind buckling capacity is less than 20% with an exception; when the harmonic settlement level is high, such as settlement load No.3, No.4 and No.5, the biggest increase of wind buckling capacity is more than 40%, with a few exceptions. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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Review

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20 pages, 7180 KiB  
Review
Review on Vibration Monitoring and Its Application during Shield Tunnel Construction Period
by Weimin Yang, Zhongdong Fang, Jing Wang, Diyang Chen, Yanhuan Zhang and Xingzhi Ba
Buildings 2024, 14(4), 1066; https://doi.org/10.3390/buildings14041066 - 11 Apr 2024
Cited by 1 | Viewed by 1533
Abstract
With the rapid development of metro construction, shield machines inevitably have to traverse a variety of complex geological conditions, leading to the frequent occurrence of geological disasters, equipment failures, building vibration and other problems. Vibration, as an important feature of the shield tunneling [...] Read more.
With the rapid development of metro construction, shield machines inevitably have to traverse a variety of complex geological conditions, leading to the frequent occurrence of geological disasters, equipment failures, building vibration and other problems. Vibration, as an important feature of the shield tunneling process, has received more and more attention in recent years. This paper summarizes the relevant research progress of vibration monitoring during shield construction from 2015 to 2023. It analyzes the shield vibration generation mechanism, monitoring methods and application areas. Firstly, the shield vibration type is divided into mechanical vibration triggered by internal excitation and forced vibration triggered by external excitation, and the principles of vibration generated by shield main bearing, gearbox and disc cutter are discussed. Then, the commonly used vibration monitoring methods are outlined according to the installation location of the sensors (inside and outside of the shield). Finally, the applications of vibration signals in the diagnosis of shield faults, the identification of geologic conditions, and the evaluation of the current status of the interference with the buildings are summarized. This paper discusses the development trend of vibration monitoring during shield tunneling based on the current research situation and the current technology level, which provides valuable insights to enhance the safety and intelligence of shield construction. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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23 pages, 5018 KiB  
Review
Review on the Prediction and Control of Structural Vibration and Noise in Buildings Caused by Rail Transit
by Yuanpeng He, Yang Zhang, Yuyang Yao, Yulong He and Xiaozhen Sheng
Buildings 2023, 13(9), 2310; https://doi.org/10.3390/buildings13092310 - 11 Sep 2023
Cited by 13 | Viewed by 2667
Abstract
As rail transportation continues to advance, it provides significant convenience to the public. However, the environmental vibration and noise generated during its operation have become major concerns for residents living near rail lines. In response to these concerns, the “Law on the Prevention [...] Read more.
As rail transportation continues to advance, it provides significant convenience to the public. However, the environmental vibration and noise generated during its operation have become major concerns for residents living near rail lines. In response to these concerns, the “Law on the Prevention and Control of Noise Pollution” was promulgated in China, bringing attention to this issue within the rail transportation sector. This review summarizes the regular features observed in environmental vibration and secondary structural noise tests on different sections, including embankment sections, bridge sections, underground railroads and vehicle sections. Furthermore, it introduces several physical models utilized in the study of environmental vibration and secondary structural noise, focusing on three key aspects: excitation sources, propagation paths and the modelling of building structures. This paper also explores the introduction of data-driven models related to big data and artificial intelligence to enhance the accuracy and efficiency of research in this field and provides an overview of commonly used measures to control train-induced environmental vibrations and secondary noise in buildings. These measures are discussed in terms of excitation sources, propagation paths, and receivers, offering insights into effective strategies for mitigating the impact of rail transportation on nearby residents. Finally, this study highlights the primary findings and offers pertinent recommendations. These recommendations include considerations regarding both laboratory and on-site testing procedures, challenges associated with the deployment of data-driven models and key parameters for designing and utilizing low-stiffness fasteners. Full article
(This article belongs to the Special Issue Engineering Safety Monitoring and Management)
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