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    A Harmonic Response Topology Optimization Method Based on Hybrid Cellular Automata 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 005:;page 51702-1
    Author(s): Wang, Ziyi; Song, Xueguan; Kan, Ziyun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hybrid cellular automaton (HCA) method is a topology optimization method with high convergence efficiency. Harmonic response topology optimization problem has been widely researched and common frequency-domain methods have ...
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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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    An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 004:;page 41402
    Author(s): Song, Xueguan; Lv, Liye; Li, Jieling; Sun, Wei; Zhang, Jie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hybrid or ensemble surrogate models developed in recent years have shown a better accuracy compared to individual surrogate models. However, it is still challenging for hybrid surrogate models to always meet the accuracy, ...
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    Multidisciplinary and Multifidelity Design Optimization of Electric Vehicle Battery Thermal Management System 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 009:;page 94501
    Author(s): Wang, Xiaobang; Liu, Yuanzhi; Sun, Wei; Song, Xueguan; Zhang, Jie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Battery thermal management system (BTMS) is a complex and highly integrated system, which is used to control the battery thermal conditions in electric vehicles (EVs). The BTMS consists of many subsystems that belong to ...
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    An Adaptive Two-Stage Kriging-Based Infilling Strategy for Efficient Multi-Objective Global Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111706
    Author(s): Liu, Yin;Wang, Shuo;Li, Kunpeng;Sun, Wei;Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Most practical multi-objective optimization problems are often characterized by two or more expensive and conflicting objectives, which require time-consuming simulations. Commonly used algorithms construct a surrogate ...
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    Experimental Analysis of the Lift Force Discontinuity of a Spring-Loaded Pressure Safety Valve Working in Pneumatic Service 

    Source: Journal of Pressure Vessel Technology:;2020:;volume( 142 ):;issue: 006:;page 064501-1
    Author(s): Zong, Chaoyong; Zheng, Fengjie; Li, Qingye; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Pressure safety valves (PSVs) are designed to provide ultimate protection for pressure systems. For design or optimization purpose, it is necessary to study the lift force exerted on the valve disk. Under special valve ...
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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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    MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 011:;page 114501-1
    Author(s): Li, Jianji; Zhang, Shuai; Liang, Pengwei; Lai, Xiaonan; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Along with the development of surrogate models, there is a growing need to use surrogate models instead of computationally intensive simulations to estimate real system responses. Compared with individual surrogate models, ...
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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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    Multifidelity Data Fusion Based on Gradient-Enhanced Surrogate Modeling Method 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 012:;page 0121704-1
    Author(s): Li, Kunpeng; Liu, Yin; Wang, Shuo; Song, Xueguan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A multifidelity surrogate (MFS) model is a data fusion method for the enhanced prediction of less intensively sampled primary variables of interest (i.e., high-fidelity (HF) samples) with the assistance of intensively ...
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