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Intelligent Assessment Method of Structural Reliability Driven by Carrying Capacity Sustainable Target: Taking Bearing Capacity as Criterion

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  • Guoliang Shi

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
    The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China)

  • Zhansheng Liu

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
    The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China)

  • Dengzhou Xian

    (Hebei Construction Building Group Co., Ltd., Shijiazhuang 050051, China)

  • Rongtian Zhang

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

Large-scale building structures are subject to numerous uncertain loads during their service life, leading to a decrease in structural reliability. Real-time analysis and accurate prediction of structural reliability is a key step to improve the bearing capacity of buildings. This study proposes an intelligent assessment method for structural reliability driven by a sustainability target, which incorporated digital twin technology to establish an intelligent evaluation framework for structural reliability. Under the guidance of the evaluation framework, the establishment method of a structural high-fidelity twin model is formed. The mechanical properties and reliability analysis mechanism are established based on the high-fidelity twin model. The theoretical method was validated by experimental analysis of a rigid cable truss construction. The results showed the simulation accuracy of the high-fidelity twin model formed by the modeling method is up to 95%. With the guidance of the proposed evaluation method, the mechanical response of the structure under different load cases was accurately analyzed, and the coupling relationship between component failure and reliability indicators was obtained. The twinning model can be used to analyze the reliability of the structure in real time and help to set maintenance measures of structural safety. By analyzing the bearing capacity and reliability index of the structure, the safety of the structure under load is guaranteed. The sustainability of structural performance is achieved during the normal service period of the structure. The proposed reliability assessment method provides a new approach to improving the sustainability of building bearing capacity.

Suggested Citation

  • Guoliang Shi & Zhansheng Liu & Dengzhou Xian & Rongtian Zhang, 2023. "Intelligent Assessment Method of Structural Reliability Driven by Carrying Capacity Sustainable Target: Taking Bearing Capacity as Criterion," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10655-:d:1187981
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    References listed on IDEAS

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    1. Matthew Callcut & Jean-Paul Cerceau Agliozzo & Liz Varga & Lauren McMillan, 2021. "Digital Twins in Civil Infrastructure Systems," Sustainability, MDPI, vol. 13(20), pages 1-32, October.
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    Cited by:

    1. Zeqiang Wang & Mingming Li & Zhansheng Liu & Majid Dezhkam & Yifeng Zhao & Yang Hu, 2023. "Continuous Dynamic Analysis Method and Case Verification of Cable Structure Based on Digital Twin," Sustainability, MDPI, vol. 15(22), pages 1-24, November.

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