Article
Engineering, Industrial
Yun Chen, Qin Zeng, Xiazhong Zheng, Bo Shao, Lianghai Jin
Summary: Tower cranes are widely used on construction sites but have a high accident rate. This study focuses on bridging the gap in crane safety by considering the stakeholders involved in crane operation and establishing an evolutionary game model. The model considers the accident risk perception of each stakeholder and reveals the evolution of safety strategy selection. The results show that safety supervision strategies are adopted when the penalty and safety reward performance outweigh the safety input cost, and the perception of the responsible party for repair has a significant impact on the evolution and strategy stability of the stakeholders.
Article
Construction & Building Technology
Zheng He, Maoxing Gao, Tian Liang, Yi Lu, Xiao Lai, Feng Pan
Summary: This study addresses the safety concerns of construction tower cranes outer-attached to super high-rise buildings in tornado wind fields. Safety envelopes of cranes are constructed under various scenarios, and spatio-temporal computational fluid dynamics (CFD) models are developed to accurately simulate the wind forces on the building-crane system. The ultimate wind velocity obtained from the safety envelopes is used to assess the safety of tower cranes. The feasibility of the assessment procedure is demonstrated on three case super high-rise buildings, and the study highlights the sensitivity of the tower crane's ultimate reference wind velocity to slewing angle and the importance of addressing overloading and stiffness reduction of connection supports. This research enriches the framework of construction safety control management.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Industrial
Haitao Wu, Botao Zhong, Heng Li, Hung-Lin Chi, Yuhang Wang
Summary: This research develops a blockchain-enabled framework for ensuring the effectiveness of on-site safety inspection of tower cranes. The study finds that blockchain can automatically execute safety inspections and provide trustworthy inspection records, thus enhancing the effectiveness of safety inspections.
Article
Construction & Building Technology
Yi Lu, Maoxing Gao, Tian Liang, Zheng He, Fan Feng, Feng Pan
Summary: This study used customized CFD modeling and simulation to predict wind-induced risks for tower cranes on slender super high-rise buildings. By determining shape coefficients of main buildings and analyzing dynamic responses of cranes under various construction scenarios, the research provides insights into vibration safety concerns.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Vit Motycka, Jozef Gasparik, Oto Pribyl, Martin Sterba, Dita Horinkova, Radka Kantova
Summary: The quality of preparations before construction work starts is crucial for the smooth running and overall financial costs of a construction project. This paper presents a new method for assessing the utilization of tower cranes during the construction of reinforced concrete structures. The method uses a mathematical simulation model to predict the work cycles of tower cranes, contributing to their efficient utilization.
Article
Engineering, Industrial
Songbo Hu, Yihai Fang, Robert Moehler
Summary: With the increasing modularization and prefabrication of building components, tower cranes are required to lift larger and heavier loads, which increases the risk of crane failure and accidents. This study proposes an automatic method using path-finding algorithm and Building Information Modelling (BIM) to manage the hazards brought by tower crane operations. The method estimates and visualizes the hazards based on safe lift paths and allows for better planning and coordination to minimize risks.
Article
Construction & Building Technology
Xiao Lin, Yu Han, Hongling Guo, Zhubang Luo, Ziyang Guo
Summary: This research proposes an automated lift path planning method for tower cranes based on environmental point clouds. The method utilizes an octree-based sampling strategy to generate a roadmap from point clouds and a novel collision checking method. An optimized A* algorithm is employed to identify executable paths. The method has been validated using real point clouds and has shown to generate more executable paths with higher efficiency.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Industrial
A. M. M. Muhaimin, Lu Zhang, Sunil Dhakal, Xuan Lv, Nipesh Pradhananga, Vamsi Sai Kalasapudi, Atorod Azizinamini
Summary: This paper identifies 30 critical impacting factors on the future of bridges through in-depth interviews and review of secondary data sources. These factors include the adoption of new construction materials, new transportation facilities or methods, changes in the labor market, public-private partnerships, climate change, and sea level rise. The study contributes to providing decision makers and policymakers with a comprehensive understanding to address the new challenges brought by these factors.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
ElHassan Reda Ismail, Ghada Mohamed El-Mahdy, Ahmed Hussein Ibrahim, Ahmed Osama Daoud
Summary: This study surveyed construction industry professionals in Egypt to investigate the applicability and effectiveness of factors related to the safe disposal of construction and demolition waste (CDW). The findings showed that the selection of the shortest path transport route was the most applicable factor, while the detection of CDW illegal disposal sites was the most effective factor. There were positive statistical relationships between CDW safe disposal and various factors. Therefore, a conceptual framework including these elements is necessary for future research in CDW safe disposal in Egypt.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Jing-yu Peng, Shuai Zhang, Yu-jing Wang, Rui-feng Zhao, Yi-ling Zhou, Jian-wei Zhou
Summary: This study aims to identify priority pollutants and key factors influencing environmental risks of lead-zinc mine tailing sites with different types of hydrological settings. A database with detailed information on hydrological settings, pollution, etc. of 24 typical lead-zinc mine tailing sites in China was built, and a rapid classification method and osculating value method were used to identify priority pollutants. The random forest algorithm was applied to identify key factors affecting environmental risks. The results can provide benchmarks for the risk management of lead-zinc mine tailing sites.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Industrial
Umair Khalid, Amrit Sagoo, Medjdoub Benachir
Summary: The construction industry is known for its economic significance and hazardous nature. Poor safety performance is the main cause of accidents on construction sites, and in order to improve safety performance, it is necessary to investigate potential factors involved in safety management.
Article
Ergonomics
Francisco J. Forteza, Jose M. Carretero-Gomez, Albert Sese
Summary: This study develops an empirical test of two theoretical models using Structural Equation Model (SEM) to examine the relationships between organizational factors of safety management system (SMS) and risk variables. The results indicate that resources on site are more influential in explaining risk variables, while site structure complexity has a stronger effect on risk variables compared to other factors. These findings have practical implications for construction companies in improving safety conditions on site and preventing accidents.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Chemistry, Analytical
Chendong Zhu, Junqing Zhu, Tianxiang Bu, Xiaofei Gao
Summary: This research aims to integrate UAVs and AI to establish a UAV-based road construction safety monitoring platform. The study proposes flight and photography schemes based on the UAV platform for information collection, and utilizes deep learning algorithms to automatically detect and track safety factors. A road construction dataset with 3594 images is established. The results show that the UAV-based monitoring platform can help managers with security inspection and recording images.
Article
Construction & Building Technology
Cong Zhou, Fu Dai, Zerui Xiao, Wei Liu
Summary: In high-rise modular housing complex projects, efficient tower crane layout planning is crucial for component lifting during construction. The layout plan should minimize the distance tower cranes move prefabricated units to improve efficiency and control costs. Current studies often neglect the movement efficiency of trailers and the complexity of multiple trailers and cranes. This study builds a mathematical model based on mixed integer linear programming (MILP) to optimize crane and trailer positioning in high-rise modular housing complex projects.
Article
Environmental Sciences
Tao Chen, Zhonghong Cao
Summary: A multiple linear regression model was established to explore the relationship between the number of accident deaths (NCD) in construction safety and factors such as economy and construction labor in 31 provinces (regions) of China from 2009 to 2018. The results showed that profits and taxes, as well as death rate, were positively correlated with NCD, while labor productivity was negatively correlated with it. The model effectively predicted NCD in different provinces and cities from 2019 to 2020 using quadratic exponential smoothing.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)