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    A Pointwise-Optimal Ensemble of Surrogate Models 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 011:;page 111705-1
    Author(s): Liang, Pengwei; Zhang, Shuai; Pang, Yong; Li, Jianji; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The ensemble of surrogate models is commonly used to replace computationally expensive simulations due to their superior prediction accuracy and robustness compared to individual models. This paper proposes a new pointwise ...
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    Boosting Engineering Optimization With a Novel Recursive Transfer Bifidelity Surrogate Modeling 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 003:;page 31704-1
    Author(s): Song, Xueguan; Zhang, Shuai; Pang, Yong; Li, Jianji; Zhang, Jiankang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the engineering optimization, there often exist the multiple sources of information with different fidelity levels. In general, low-fidelity (LF) information is usually more accessible than high-fidelity (HF) information, ...
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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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    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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