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    Computational Geometric Approach for BIM Semantic Enrichment to Support Automated Underground Garage Compliance Checking 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001:;page 05021013
    Author(s): Han Gao; Botao Zhong; Hanbin Luo; Weiya Chen
    Publisher: ASCE
    Abstract: The need for manual semantic annotation to domain-specific building information modeling (BIM) models limits the application of BIM technology in various architecture, engineering, and construction fields. BIM semantic ...
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    Information Integration of Regulation Texts and Tables for Automated Construction Safety Knowledge Mapping 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 005:;page 04024034-1
    Author(s): Haoxi Wang; Sheng Xu; Dongdong Cui; Hong Xu; Hanbin Luo
    Publisher: ASCE
    Abstract: The explicit safety knowledge contained in regulations in the form of texts and tables is crucial for construction safety management. However, the presence of rich semantic content within texts and the intricate layout of ...
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    Feedforward Analysis for Shield-Ground System 

    Source: Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 003
    Author(s): Lieyun Ding; Fan Wang; Hanbin Luo; Minghui Yu; Xianguo Wu
    Publisher: American Society of Civil Engineers
    Abstract: Ground surface settlement is an important measurement in identifying potential damages for shield tunneling. Identifying the relationship between shield parameters and the resulting settlement is of vital importance to the ...
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    Optimal Camera Placement for Monitoring Safety in Metro Station Construction Work 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 001
    Author(s): Yongcheng Zhang; Hanbin Luo; Martin Skitmore; Quan Li; Botao Zhong
    Publisher: American Society of Civil Engineers
    Abstract: Monitoring systems based on cameras are crucial for safety management of the high-risk activities common in the complex environment of metro station construction sites, and hence there is a need for a reliable camera network ...
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    Intelligent Approach Based on Random Forest for Safety Risk Prediction of Deep Foundation Pit in Subway Stations 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 001
    Author(s): Ying Zhou; Shiqi Li; Cheng Zhou; Hanbin Luo
    Publisher: American Society of Civil Engineers
    Abstract: The number of safety accidents caused by excavation of deep foundation pits in subway stations has been increasing rapidly in recent years. Thus, precisely predicting the safety risks for subway deep foundation pits bears ...
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    Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Botao Zhong; Heng Li; Hanbin Luo; Jingyang Zhou; Weili Fang; Xuejiao Xing
    Publisher: ASCE
    Abstract: Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the ...
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    Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): Ying Zhou; Wanjun Su; Lieyun Ding; Hanbin Luo; Peter E. D. Love
    Publisher: American Society of Civil Engineers
    Abstract: Accurately predicting risks during the construction of deep foundation pits is pivotal to ensuring the safety of the workforce of public and adjacent structures. Existing methods for assessing such risks are cumbersome and ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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