Paper Info
Title
Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos.
Abstract
Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of the time-dependent kinematic reliability and the time-dependent structural reliability as constrains. Polynomial chaos combined with the moving least squares (PCMLS) is presented as a nonintrusive time-dependent surrogate model to conduct uncertainty quantification. Wear is considered to be a critical failure that deteriorates the kinematic reliability and the structural reliability through the changing kinematics. According to Archard's wear law, a multidiscipline reliability model including the kinematics model and the structural finite element (FE) model is constructed to generate the stochastic processes of system responses. These disciplines are closely coupled and uncertainty impacts are cross-propagated to account for the correlationship between the wear process and loads. The new method is applied to an airborne retractable mechanism. The optimization goal is to minimize the mean and the variance of the total weight under both of the time-dependent and the time-independent reliability constraints.
Year
DOI
Venue
2013
10.1155/2013/513261
JOURNAL OF APPLIED MATHEMATICS
Field
DocType
Volume
Mathematical optimization,Probabilistic-based design optimization,Uncertainty quantification,Kinematics,Control theory,Surrogate model,Stochastic process,Moving least squares,Finite element method,Polynomial chaos,Mathematics
Journal
2013
Issue
ISSN
Citations 
null
1110-757X
1
PageRank 
References 
Authors
0.35
6
3
Name
Order
Citations
PageRank
Wang Yao173.87
Shengkui Zeng2194.71
Jianbin Guo332.43