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    Rethinking the Construction Schedule Risk of Infrastructure Projects Based on Dialectical Systems and Network Theory 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 005
    Author(s): Long Chen; Qiuchen Lu; Xiaojing Zhao
    Publisher: ASCE
    Abstract: The construction of infrastructures is becoming increasingly complex and risky under uncertainty, which often results in construction delay. Many efforts have been made to identify and control construction schedule risks. ...
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    Bayesian Monte Carlo Simulation–Driven Approach for Construction Schedule Risk Inference 

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 002:;page 04020115-1
    Author(s): Long Chen; Qiuchen Lu; Shuai Li; Wenjing He; Jian Yang
    Publisher: ASCE
    Abstract: As the construction of infrastructures becomes increasingly complex, it has often been challenged by construction delay with enormous losses. The delivery of complex infrastructures provides a rich source of data for new ...
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    Developing Data Requirements for City-Level Digital Twins: Stakeholder Perspective 

    Source: Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 002:;page 04024068-1
    Author(s): Jiayi Yan; Qiuchen Lu; Nan Li; Michael Pitt
    Publisher: American Society of Civil Engineers
    Abstract: Advances in city-level digital twins (CDTs) have been proposed to enable smarter, more sustainable, and resilient cities across diverse urban management scenarios for a portfolio of buildings and infrastructure in the built ...
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    AHP-ANP–Fuzzy Integral Integrated Network for Evaluating Performance of Innovative Business Models for Sustainable Building 

    Source: Journal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 008
    Author(s): Xiaojing Zhao; Long Chen; Wei Pan; Qiuchen Lu
    Publisher: American Society of Civil Engineers
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    Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 003
    Author(s): Qiuchen Lu; Ajith Kumar Parlikad; Philip Woodall; Gishan Don Ranasinghe; Xiang Xie; Zhenglin Liang; Eirini Konstantinou; James Heaton; Jennifer Schooling
    Publisher: ASCE
    Abstract: A digital twin (DT) refers to a digital replica of physical assets, processes, and systems. DTs integrate artificial intelligence, machine learning, and data analytics to create living digital simulation models that are ...
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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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