Efficient strategies for reliability-based optimization involving non-linear, dynamical structures

M. A. Valdebenito; G. I. Schuëller

doi:10.1016/j.compstruc.2010.10.014

Efficient strategies for reliability-based optimization involving non-linear, dynamical structures

M. A. Valdebenito, G. I. Schuëller

Faculty of Engineering and Science

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

This contribution proposes a framework for performing reliability-based optimization efficiently. The proposed approach, based on a decoupling approach and sequential approximations, introduces an efficient means for estimating reliability sensitivity along with the application of a line search strategy and weighted approximations. Two examples involving non-linear structures subject to dynamic loading are presented, showing the advantages and efficiency of the proposed framework.

Original language	English
Pages (from-to)	1797-1811
Number of pages	15
Journal	Computers and Structures
Volume	89
Issue number	19-20
DOIs	https://doi.org/10.1016/j.compstruc.2010.10.014
State	Published - Oct 2011

Keywords

Advanced simulation techniques
Decoupling
Line search
Reliability sensitivity estimation
Reliability-based optimization
Weighted approximation

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10.1016/j.compstruc.2010.10.014

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title = "Efficient strategies for reliability-based optimization involving non-linear, dynamical structures",

abstract = "This contribution proposes a framework for performing reliability-based optimization efficiently. The proposed approach, based on a decoupling approach and sequential approximations, introduces an efficient means for estimating reliability sensitivity along with the application of a line search strategy and weighted approximations. Two examples involving non-linear structures subject to dynamic loading are presented, showing the advantages and efficiency of the proposed framework.",

keywords = "Advanced simulation techniques, Decoupling, Line search, Reliability sensitivity estimation, Reliability-based optimization, Weighted approximation",

author = "Valdebenito, {M. A.} and Schu{\"e}ller, {G. I.}",

note = "Funding Information: This research was partially supported by the Austrian Research Council (FWF) under Projects Nos. P17459-N13 and P20251-N13 which are gratefully acknowledged by the authors. ",

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AU - Schuëller, G. I.

N1 - Funding Information: This research was partially supported by the Austrian Research Council (FWF) under Projects Nos. P17459-N13 and P20251-N13 which are gratefully acknowledged by the authors.

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N2 - This contribution proposes a framework for performing reliability-based optimization efficiently. The proposed approach, based on a decoupling approach and sequential approximations, introduces an efficient means for estimating reliability sensitivity along with the application of a line search strategy and weighted approximations. Two examples involving non-linear structures subject to dynamic loading are presented, showing the advantages and efficiency of the proposed framework.

AB - This contribution proposes a framework for performing reliability-based optimization efficiently. The proposed approach, based on a decoupling approach and sequential approximations, introduces an efficient means for estimating reliability sensitivity along with the application of a line search strategy and weighted approximations. Two examples involving non-linear structures subject to dynamic loading are presented, showing the advantages and efficiency of the proposed framework.

KW - Advanced simulation techniques

KW - Decoupling

KW - Line search

KW - Reliability sensitivity estimation

KW - Reliability-based optimization

KW - Weighted approximation

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EP - 1811

JO - Computers and Structures

JF - Computers and Structures

IS - 19-20

ER -

Efficient strategies for reliability-based optimization involving non-linear, dynamical structures

Abstract

Keywords

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