期刊
STRUCTURAL SAFETY
卷 62, 期 -, 页码 101-115出版社
ELSEVIER
DOI: 10.1016/j.strusafe.2016.06.001
关键词
Reliability analysis; Sensitivity analysis; Reliability-based design optimization; Parameter sensitivity of failure probability
资金
- US NSF (National Science Foundation) [1321661, 1437535]
- China Scholarship Council (CSC)
- Raymond Allen Jones Chair at the Georgia Institute of Technology
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1321661] Funding Source: National Science Foundation
This paper proposes an efficient method named segmental multi-point linearization for accurate approximation of the sensitivity of failure probability with respect to design parameters. The method is established based on a piecewise linear fitting of the limit state surface and the analytical integral of the gradient of the failure probability with respect to parameters in the limit state function. The proposed method presents an attractive ratio of accuracy to computational cost. The general framework is scalable such that, by adjusting its complexity, different levels of accuracy can be achieved. The method is especially suitable to be implemented in gradient-based routines for solving reliability -based design optimization problems where accuracy of the parameter sensitivity is essential for convergence to an optimal solution. (C) 2016 Elsevier Ltd. All rights reserved.
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