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Moment-based evaluation of structural reliability

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  • Wang, Cao
  • Zhang, Hao
  • Li, Quanwang

Abstract

Reliability analysis is a widely-used tool to measure a structure’s ability of fulfilling safety and serviceability requirements. Existing methods for reliability assessment have, for the most part, been developed based on using the probability distribution functions of input random variables accounting for the uncertainties arising from both structural properties (e.g., material strength, geometry) and external loads. This paper develops a moment-based method for reliability assessment, which relies on the moment information of input variables rather than the probability distribution functions. It is shown that the proposed method is useful in solving multi-dimensional reliability assessment problems with improved efficiency compared with Monte Carlo simulation. The implementation, validity and efficiency of the proposed method are demonstrated through illustrative examples.

Suggested Citation

  • Wang, Cao & Zhang, Hao & Li, Quanwang, 2019. "Moment-based evaluation of structural reliability," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 38-45.
    • Handle: RePEc:eee:reensy:v:181:y:2019:i:c:p:38-45
    DOI: 10.1016/j.ress.2018.09.006
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    References listed on IDEAS

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    1. Dai, Hongzhe & Zhang, Boyi & Wang, Wei, 2015. "A multiwavelet support vector regression method for efficient reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 132-139.
    2. Wang, Cao & Zhang, Hao & Li, Quanwang, 2017. "Reliability assessment of aging structures subjected to gradual and shock deteriorations," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 78-86.
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    Cited by:

    1. Chengning Zhou & Ning-Cong Xiao & Ming J Zuo & Xiaoxu Huang, 2020. "AK-PDF: An active learning method combining kriging and probability density function for efficient reliability analysis," Journal of Risk and Reliability, , vol. 234(3), pages 536-549, June.
    2. Zhang, Zhi-Gang & Hu, Xiao & Liu, Zhao-Ting & Zhao, Lu-Tao, 2021. "Multi-attribute decision making: An innovative method based on the dynamic credibility of experts," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    3. Li, Luxin & Chen, Guohai & Fang, Mingxuan & Yang, Dixiong, 2021. "Reliability analysis of structures with multimodal distributions based on direct probability integral method," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    4. Yu, Shui & Ren, Yuyao & Wu, Xiao & Guo, Peng & Li, Yun, 2024. "Dynamic pruning-based Bayesian support vector regression for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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