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    Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 006:;page 64502-1
    Author(s): Lai, Xiaonan; He, Xiwang; Wang, Shuo; Wang, Xiaobang; Sun, Wei; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Undetected fatigue and overload damages at the key locations of the crane boom are among the biggest threats in construction, leading to structural failure. Thus, the structural health of the crane boom should be monitored ...
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    A Scalable Digital Twin Framework Based on a Novel Adaptive Ensemble Surrogate Model 

    Source: Journal of Mechanical Design:;2022:;volume( 145 ):;issue: 002:;page 21701-1
    Author(s): Lai, Xiaonan; He, Xiwang; Pang, Yong; Zhang, Fan; Zhou, Dongcai; Sun, Wei; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The concept of digital twins is to have a digital model that can replicate the behavior of a physical asset in real time. However, using digital models to reflect the structural performance of physical assets usually faces ...
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    Data-Driven Hybrid Modeling for Digital Twin of Large-Scale Structures With Local Nonlinearities 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 012:;page 121703-1
    Author(s): He, Xiwang; Li, Yanting; Gong, Zhuangzhuang; Wang, Muchen; Pang, Yong; Kan, Ziyun; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Digital twin (DT) modeling technology is the core for accurately portraying physical entities. It provides decision-makers and managers with real-time monitoring, simulation, and optimization capabilities, thus enhancing ...
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    Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 003:;page 31703-1
    Author(s): Wang, Shuo; Lai, Xiaonan; He, Xiwang; Qiu, Yiming; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Digital twin has the potential for increasing production, achieving real-time monitor, and realizing predictive maintenance by establishing a real-time high-fidelity mapping between the physical entity and its digital ...
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