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Estimation of structural reliability for Gaussian random fields
This research develops a stochastic analysis procedure for Gaussian random fields in structural reliability estimation using an orthogonal transform and a stochastic expansion with Latin Hypercube sampling. The efficiency of the current simulation procedure is achieved by combination of the Karhunen – Loeve transform with stochastic analysis of polynomial chaos expansion. The Karhunen – Loeve transform enables generation of random fields within the framework of Latin Hypercube sampling and dimensionality reduction of the random variables. The polynomial chaos expansion can reduce computational effort of uncertainty quantification in highly nonlinear engineering design applications. In order to show the applicability of the method, the material properties of a cantilever plate and a supercavitating torpedo are treated as random fields.
Estimation of structural reliability for Gaussian random fields
This research develops a stochastic analysis procedure for Gaussian random fields in structural reliability estimation using an orthogonal transform and a stochastic expansion with Latin Hypercube sampling. The efficiency of the current simulation procedure is achieved by combination of the Karhunen – Loeve transform with stochastic analysis of polynomial chaos expansion. The Karhunen – Loeve transform enables generation of random fields within the framework of Latin Hypercube sampling and dimensionality reduction of the random variables. The polynomial chaos expansion can reduce computational effort of uncertainty quantification in highly nonlinear engineering design applications. In order to show the applicability of the method, the material properties of a cantilever plate and a supercavitating torpedo are treated as random fields.
Estimation of structural reliability for Gaussian random fields
Choi, Seung-Kyum (author) / Canfield, Robert A. (author) / Grandhi, Ramana V. (author)
Structure and Infrastructure Engineering ; 2 ; 161-173
2006-09-01
13 pages
Article (Journal)
Electronic Resource
Unknown
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