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Reliability and sensitivity analysis of bridge crane structure

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Abstract

In this paper, the structural reliability and sensitivity of bridge crane have analyzed and calculated. A comprehensive evaluation framework of structural reliability and global sensitivity of bridge crane under two dangerous conditions and multiple uncertain factors is proposed. In order to simulate the typical failure modes under two dangerous conditions, the calculation is based on the high fidelity finite element model (FEM) of bridge crane. For calculation methods, the framework includes: high-precision Monte Carlo simulation (MCS) scheme for verification and high-efficiency artificial neural network (ANN)-based scheme for application. The reliability results show that the accuracy of the calculation results based on artificial neural network is acceptable (the relative errors are −0.86 %, −10 %, 5.26 % and 0, respectively), and 85 % of the calculation time is saved. The results show uncertain parameters related to loads, section size and elastic modulus should be paid attention to in bridge crane structural reliability design.

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Acknowledgments

This work was sponsored by the Fund for National Natural Science Foundation of China (51805348), sponsored by the Fund for Shanxi “1331 Project” Key Subjects Construction.

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Authors and Affiliations

  1. School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China

    Wenzhao Li, Ruigang Yang & Qisong Qi

  2. Shanxi Special Equipment Inspection and Research Institute, Taiyuan, 030012, China

    Guangli Zhao

Authors
  1. Wenzhao Li
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  2. Ruigang Yang
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  3. Qisong Qi
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  4. Guangli Zhao
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Corresponding author

Correspondence to Ruigang Yang.

Additional information

Yang Ruigang received the B.S. degree in Mechanical Engineering from Taiyuan University of Technology in 1998 and the Ph.D. degree in Mechanical Engineering from Taiyuan University of Technology in 2009. He is a Professor of Taiyuan University of Science and Technology of China. He has published more than 50 journal articles and conference papers.

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Li, W., Yang, R., Qi, Q. et al. Reliability and sensitivity analysis of bridge crane structure. J Mech Sci Technol 36, 4419–4431 (2022). https://doi.org/10.1007/s12206-022-0807-1

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  • DOI: https://doi.org/10.1007/s12206-022-0807-1

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