Reliability sensitivity analysis in stochastic finite element models

Marcos A. Valdebenito; Herman B. Hernández; Héctor A. Jensen

Reliability sensitivity analysis in stochastic finite element models

Marcos A. Valdebenito, Herman B. Hernández, Héctor A. Jensen

Faculty of Engineering and Science

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes a framework for performing reliability sensitivity analysis of stochastic finite element models. The sensitivity measure corresponds to the derivative of the failure probability with respect to distribution parameters. The framework is cast as a post-processing step of Line Sampling and is formulated considering two different implementations. Numerical results suggest that both implementations are appropriate for estimating the sough probability sensitivity.

Original language	English
State	Published - 2019
Event	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of Duration: 26 May 2019 → 30 May 2019

Conference

Conference	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	26/05/19 → 30/05/19

Cite this

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title = "Reliability sensitivity analysis in stochastic finite element models",

abstract = "This paper proposes a framework for performing reliability sensitivity analysis of stochastic finite element models. The sensitivity measure corresponds to the derivative of the failure probability with respect to distribution parameters. The framework is cast as a post-processing step of Line Sampling and is formulated considering two different implementations. Numerical results suggest that both implementations are appropriate for estimating the sough probability sensitivity.",

author = "Valdebenito, {Marcos A.} and Hern{\'a}ndez, {Herman B.} and Jensen, {H{\'e}ctor A.}",

note = "Funding Information: 7. ACKNOWLEDGMENTS This research is partially supported by CONICYT (National Commission for Scientific and Technological Research) under grant number 1180271. This support is gratefully acknowledged by the authors. Publisher Copyright: {\textcopyright} 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. All rights reserved.; 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 ; Conference date: 26-05-2019 Through 30-05-2019",

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T1 - Reliability sensitivity analysis in stochastic finite element models

AU - Valdebenito, Marcos A.

AU - Hernández, Herman B.

AU - Jensen, Héctor A.

N1 - Funding Information: 7. ACKNOWLEDGMENTS This research is partially supported by CONICYT (National Commission for Scientific and Technological Research) under grant number 1180271. This support is gratefully acknowledged by the authors. Publisher Copyright: © 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. All rights reserved.

PY - 2019

Y1 - 2019

N2 - This paper proposes a framework for performing reliability sensitivity analysis of stochastic finite element models. The sensitivity measure corresponds to the derivative of the failure probability with respect to distribution parameters. The framework is cast as a post-processing step of Line Sampling and is formulated considering two different implementations. Numerical results suggest that both implementations are appropriate for estimating the sough probability sensitivity.

AB - This paper proposes a framework for performing reliability sensitivity analysis of stochastic finite element models. The sensitivity measure corresponds to the derivative of the failure probability with respect to distribution parameters. The framework is cast as a post-processing step of Line Sampling and is formulated considering two different implementations. Numerical results suggest that both implementations are appropriate for estimating the sough probability sensitivity.

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M3 - Paper

AN - SCOPUS:85126508938

T2 - 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019

Y2 - 26 May 2019 through 30 May 2019

ER -

Reliability sensitivity analysis in stochastic finite element models

Abstract

Conference

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