Structural Failure Probability Estimation Using HDMR and FFT

This paper presents a new and alternative method based on High Dimensional Model Representation (HDMR) and fast Fourier transform (FFT) to estimate the structural failure probability of structural systems subject to random loads, material properties and geometry. The proposed methodology is based o...

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Main Authors: R. Chowdhury, B. N. Rao
Format: Article
Language:English
Published: Electronic Journals for Science and Engineering - International 2008-06-01
Series:Electronic Journal of Structural Engineering
Subjects:
Online Access:https://ejsei.com/EJSE/article/view/101
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author R. Chowdhury
B. N. Rao
author_facet R. Chowdhury
B. N. Rao
author_sort R. Chowdhury
collection DOAJ
description This paper presents a new and alternative method based on High Dimensional Model Representation (HDMR) and fast Fourier transform (FFT) to estimate the structural failure probability of structural systems subject to random loads, material properties and geometry. The proposed methodology is based on the limit state/performance function approximation and the convolution theorem to estimate the structural failure probability. The limit-state function is obtained by linear approximation of the first-order HDMR component functions at the most probable failure point, and the convolution integral is solved efficiently using the FFT technique. The proposed technique estimates the failure probability accurately with significantly less computational effort compared to the direct Monte Carlo simulation. The accuracy and efficiency of the proposed method is demonstrated through numerical examples involving implicit performance functions.
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publisher Electronic Journals for Science and Engineering - International
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spelling doaj.art-decd96c5057d4428a85d5ae31e27a3c12023-08-29T10:29:06ZengElectronic Journals for Science and Engineering - InternationalElectronic Journal of Structural Engineering1443-92552008-06-01810.56748/ejse.8101Structural Failure Probability Estimation Using HDMR and FFTR. Chowdhury0B. N. Rao1Indian Institute of Technology Madras Indian Institute of Technology Madras This paper presents a new and alternative method based on High Dimensional Model Representation (HDMR) and fast Fourier transform (FFT) to estimate the structural failure probability of structural systems subject to random loads, material properties and geometry. The proposed methodology is based on the limit state/performance function approximation and the convolution theorem to estimate the structural failure probability. The limit-state function is obtained by linear approximation of the first-order HDMR component functions at the most probable failure point, and the convolution integral is solved efficiently using the FFT technique. The proposed technique estimates the failure probability accurately with significantly less computational effort compared to the direct Monte Carlo simulation. The accuracy and efficiency of the proposed method is demonstrated through numerical examples involving implicit performance functions. https://ejsei.com/EJSE/article/view/101Structural ReliabilityHigh Dimensional Model RepresentationFast Fourier TransformFailure Probability
spellingShingle R. Chowdhury
B. N. Rao
Structural Failure Probability Estimation Using HDMR and FFT
Electronic Journal of Structural Engineering
Structural Reliability
High Dimensional Model Representation
Fast Fourier Transform
Failure Probability
title Structural Failure Probability Estimation Using HDMR and FFT
title_full Structural Failure Probability Estimation Using HDMR and FFT
title_fullStr Structural Failure Probability Estimation Using HDMR and FFT
title_full_unstemmed Structural Failure Probability Estimation Using HDMR and FFT
title_short Structural Failure Probability Estimation Using HDMR and FFT
title_sort structural failure probability estimation using hdmr and fft
topic Structural Reliability
High Dimensional Model Representation
Fast Fourier Transform
Failure Probability
url https://ejsei.com/EJSE/article/view/101
work_keys_str_mv AT rchowdhury structuralfailureprobabilityestimationusinghdmrandfft
AT bnrao structuralfailureprobabilityestimationusinghdmrandfft