Life cycle assessment (LCA) is an effective method for construction environmental impact assessment. However, the traditional LCA is suitable to assess the static process and it is challenging to use real-time informa...
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In this study, a novel metaheuristic optimization algorithm inspired by the enterprise development (ED) process was developed. This process encompasses tasks, structure, technology, and human interactions. A mechanism...
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Cables or suspenders are the critical force-transmitting components of cable-supported bridges, and their timely tension monitoring is consequently the most important issue in the corresponding structural health monit...
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Virtual reality (VR) has been widely applied in the construction industry, enabling users to view unfinished buildings in an immersive virtual environment. A game engine can be used to create a virtual environment wit...
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This research study was to investigate fly ash (FA) and crumb rubber (CR) in clay bricks using sodium metasilicate at low heating temperatures which is an emerging trend in the construction industry to eliminate landf...
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We are privileged to be invited by the Honorary Editor-in-Chief,Professor Qihu Qian,Editor-in-Chief,Professor Xia-Ting Feng,and the editorial staff of the Journal of Rock Mechanics and Geotechnical engineering(JRMGE),...
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We are privileged to be invited by the Honorary Editor-in-Chief,Professor Qihu Qian,Editor-in-Chief,Professor Xia-Ting Feng,and the editorial staff of the Journal of Rock Mechanics and Geotechnical engineering(JRMGE),to serve as Guest Editors for this Special Issue(SI).The purpose of this SI is to review the latest development of machine learning(ML)techniques including the soft computing(SC)and deep learning(DL)methods as well as their key applications in geotechnical underground engineering problems.
At present, the use of a tuned mass damper (TMD) to control structural dynamic response under wind or earthquake excitations has become a common method for many high-rise structures. In previous studies, the amplitude...
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Dredging projects play a vital role in water conservation, especially for flood control, but they often encounter natural and human-induced risks. This study addresses these challenges by creating a comprehensive know...
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The accidental release of hazardous energy is one of the causes of construction site *** risk is considerably increased during petrochemical plant construction because the project itself is complex in terms of process...
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The accidental release of hazardous energy is one of the causes of construction site *** risk is considerably increased during petrochemical plant construction because the project itself is complex in terms of process,equipment,and *** addition,a general construction safety barrier hardly isolates and controls site hazardous energy ***,this study proposes an Internet of Things(IoT)sensor-based building information modeling(BIM)system,which can be regarded as a new smart barrier design method for hazardous energy in petrochemical *** this system,BIM is used to support the identification of on-site hazardous energy,whereas IoT is used to collect the location of on-site personnel in real time.A hazardous energy isolation rule is defined to enable the system to generate a smart barrier on the web terminal window,thereby ensuring the safety of on-site *** system has been applied to a large-scale construction project in Sinopec for one year and accumulated substantial practical data,which supported the idea about the application of sensor and BIM technology in *** related effects of the system on hazardous energy management are also presented in this work.
Fiber-reinforced polymer (FRP) composite has been widely applied to reinforce and rehabilitate concrete columns in civilengineering. It is necessary to deeply understand the ultimate deformation (i.e., the ultimate a...
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