Robust design of mechanical systems via stochastic expansion

被引:1
|
作者
Choi, SK [1 ]
Grandhi, RV
Canfield, RA
机构
[1] Wright State Univ, Dept Mech & Mat Engn, Dayton, OH 45435 USA
[2] USAF, Inst Technol, Wright Patterson AFB, OH 45433 USA
关键词
stochastic optimisation; polynomial chaos; joined-wing; Latin hypercube sampling; uncertainty;
D O I
10.1504/IJMPT.2006.008278
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper discusses stochastic optimisation using Polynomial Chaos Expansion (PCE) with Latin Hypercube Sampling (LHS). PCE provides a means to quantify the uncertainty of highly non-linear structural models involving inherent randomness of geometric, material, and loading properties. PCE, specifically the non-intrusive formulation, is used to construct surrogates of stochastic responses for optimisation procedures. A standard optimisation algorithm is then used. In particular, the material properties of structural systems are assumed to be uncertain and treated as uncorrelated random variables. Implementation of the method is demonstrated for a three-bar structure and a complex engineering structure of an uninhabited joined-wing aircraft.
引用
收藏
页码:127 / 143
页数:17
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