Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation.
An important segment of the reliability-based optimization problems is to get access to the sensitivity derivatives. However, since the failure probability is not a closed-form function of the input variables, the derivatives are not explicitly computable and rather require a full reliability analys...
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Online Access: | https://doi.org/10.1371/journal.pone.0213199 |
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doaj-2c3dd64924d14f968a4319963bdcd5902021-03-03T19:46:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01143e021319910.1371/journal.pone.0213199Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation.Mahdi Shadab FarHongwei HuangAn important segment of the reliability-based optimization problems is to get access to the sensitivity derivatives. However, since the failure probability is not a closed-form function of the input variables, the derivatives are not explicitly computable and rather require a full reliability analysis which is computationally expensive. In this paper, a step-by-step algorithm has been presented to calculate the derivatives of the probability of failure and safety index with respect to the input parameters based on the advanced first-order second-moment (AFOSM) reliability method. The proposed algorithm is then implemented in a spreadsheet using Visual Basic for Application (VBA) programming language. Two geotechnical and structural examples are then presented to examine the program and describe the modeling procedure. The robustness of the proposed method is examined using a Gaussian random perturbation. The capability of the proposed method in the calculation of the sensitivity derivatives of the model uncertainty is explained in a separate section. Finally, the proposed model has been compared to the forward finite difference (FFD) method and the results are validated.https://doi.org/10.1371/journal.pone.0213199 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mahdi Shadab Far Hongwei Huang |
spellingShingle |
Mahdi Shadab Far Hongwei Huang Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. PLoS ONE |
author_facet |
Mahdi Shadab Far Hongwei Huang |
author_sort |
Mahdi Shadab Far |
title |
Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. |
title_short |
Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. |
title_full |
Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. |
title_fullStr |
Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. |
title_full_unstemmed |
Simplified algorithm for reliability sensitivity analysis of structures: A spreadsheet implementation. |
title_sort |
simplified algorithm for reliability sensitivity analysis of structures: a spreadsheet implementation. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2019-01-01 |
description |
An important segment of the reliability-based optimization problems is to get access to the sensitivity derivatives. However, since the failure probability is not a closed-form function of the input variables, the derivatives are not explicitly computable and rather require a full reliability analysis which is computationally expensive. In this paper, a step-by-step algorithm has been presented to calculate the derivatives of the probability of failure and safety index with respect to the input parameters based on the advanced first-order second-moment (AFOSM) reliability method. The proposed algorithm is then implemented in a spreadsheet using Visual Basic for Application (VBA) programming language. Two geotechnical and structural examples are then presented to examine the program and describe the modeling procedure. The robustness of the proposed method is examined using a Gaussian random perturbation. The capability of the proposed method in the calculation of the sensitivity derivatives of the model uncertainty is explained in a separate section. Finally, the proposed model has been compared to the forward finite difference (FFD) method and the results are validated. |
url |
https://doi.org/10.1371/journal.pone.0213199 |
work_keys_str_mv |
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