0
research-article

Reliability analysis for structures with multiple temporal and spatial parameters based on the effective first-crossing point

[+] Author and Article Information
Yan Shi

School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
rockousy@163.com

Zhenzhou Lu

School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
zhenzhoulu@nwpu.edu.cn

Kaichao Zhang

School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
zhangkaichao123321@126.com

Yuhao Wei

School of Aeronautics, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
1981298991@qq.com

1Corresponding author.

ASME doi:10.1115/1.4037673 History: Received January 16, 2017; Revised August 12, 2017

Abstract

For efficiently estimating the dynamic failure probability of the structure with the multiple temporal and spatial parameters, a transferred limit state function technique is firstly proposed in this paper. By finding the effective first-crossing point which controls the failure of the structural system, the transferred technique is constructed to transform the dynamic reliability problem into static one. For determining the effective first-crossing point, the parameter domain is firstly divided into different dominant domain corresponding to every parameter. Based on the parameter dominant domain, the first-crossing point about each parameter is obtained by comparing the difference value between the point on the failure boundary and the corresponding parameter upper bound. Finally the effective first-crossing point is determined by finding the point which controls the structure failure. With the transferred technique, two strategies (including the sparse grid integration based on fourth-moment method and the maximum entropy based on dimensional reduction method) are proposed to efficiently estimate the dynamic failure probability. Several examples are employed to illustrate the significance and effectiveness of the transferred technique and the proposed methods for solving the multiple temporal and spatial parameters dynamic reliability. The results show that the proposed methods can estimate the multiple temporal and spatial parameters dynamic failure probability efficiently and accurately.

Copyright (c) 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In