On buffered failure probability in design and optimization of structures

被引:121
作者
Rockafellar, R. T. [2 ,3 ]
Royset, J. O. [1 ]
机构
[1] USN, Dept Operat Res, Postgrad Sch, Monterey, CA 93943 USA
[2] Univ Washington, Dept Math, Seattle, WA 98195 USA
[3] Univ Florida, Dept Ind & Syst Engn, Gainesville, FL 32611 USA
关键词
Failure probability; Structural reliability; Reliability-based design optimization; SAMPLE AVERAGE APPROXIMATIONS; RELIABILITY; ALGORITHMS;
D O I
10.1016/j.ress.2010.01.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In reliability engineering focused on the design and optimization of structures, the typical measure of reliability is the probability of failure of the structure or its individual components relative to specific limit states. However, the failure probability has troublesome properties that raise several theoretical, practical, and computational issues. This paper explains the seriousness of these issues in the context of design optimization and goes on to propose a new alternative measure, the buffered failure probability, which offers significant advantages. The buffered failure probability is handled with relative ease in design optimization problems, accounts for the degree of violation of a performance threshold, and is more conservative than the failure probability. Published by Elsevier Ltd.
引用
收藏
页码:499 / 510
页数:12
相关论文
共 36 条
[1]  
[Anonymous], 1999, Athena scientific Belmont
[2]  
[Anonymous], P ASME 2009 INT DES
[3]  
[Anonymous], SIMULATION MONTE CAR
[4]  
Bertsekas D.P., 2019, Reinforcement learning and optimal control
[5]  
Boyd Stephen, 2004, LIEVEN VANDENBERGHE
[6]  
Conn A.R., 1992, SPRINGER SERIES COMP, V17
[7]  
Ditlevsen O., 1996, STRUCTURAL RELIABILI
[8]  
Gill P., 1998, SOL981 STANF U
[9]   Optimization and robustness for crashworthiness of side impact [J].
Gu, L ;
Yang, RJ ;
Tho, CH ;
Makowski, M ;
Faruque, O ;
Li, Y .
INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2001, 26 (04) :348-360
[10]  
Holmstrom K., 2009, Tomlab Optimization