Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method
Moment-independent importance (MII) analysis is known as a global sensitivity measurement in qualifying the influence of uncertainties, which is taken as a crucial step towards seismic performance analysis. Most MII analysis is based on Monte Carlo simulation, which leads to a high computational cos...
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2021
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oai:doaj.org-article:24c90460f2ad41248e397874f4c5937e2021-11-11T15:24:02ZEfficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method10.3390/app1121104052076-3417https://doaj.org/article/24c90460f2ad41248e397874f4c5937e2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10405https://doaj.org/toc/2076-3417Moment-independent importance (MII) analysis is known as a global sensitivity measurement in qualifying the influence of uncertainties, which is taken as a crucial step towards seismic performance analysis. Most MII analysis is based on Monte Carlo simulation, which leads to a high computational cost since a large number of nonlinear time history analyses are required to obtain the probability density function. To address this limitation, this study presents a computational efficient MII analysis to investigate the uncertain parameters in the seismic demands of bridges. A modified four-point-estimate method is derived from Rosenblueth’s two-point-estimate method. Thus, the statistical moments of a bridge’s seismic demands can be obtained by several sampling points and their weights. Then, the shifted generalized lognormal distribution method is adopted to estimate the unconditional and conditional probability density functions of seismic demands, which are used for the MII analysis. The analysis of seismic demands based on piers and bearings in a finite element model of a continuous girder bridge is taken as a validation example. The MII measures of the uncertain parameters are estimated by just several nonlinear time history analyses at the point-estimate sampling points, and the results by the proposed method are compared with those found by Monte Carlo simulation.Xingyu LiYing LeiLijun LiuMDPI AGarticlebridgeseismic demandsensitivity analysismoment-independent importanceuncertain parameterspoint-estimate methodTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10405, p 10405 (2021) |
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bridge seismic demand sensitivity analysis moment-independent importance uncertain parameters point-estimate method Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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bridge seismic demand sensitivity analysis moment-independent importance uncertain parameters point-estimate method Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Xingyu Li Ying Lei Lijun Liu Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
description |
Moment-independent importance (MII) analysis is known as a global sensitivity measurement in qualifying the influence of uncertainties, which is taken as a crucial step towards seismic performance analysis. Most MII analysis is based on Monte Carlo simulation, which leads to a high computational cost since a large number of nonlinear time history analyses are required to obtain the probability density function. To address this limitation, this study presents a computational efficient MII analysis to investigate the uncertain parameters in the seismic demands of bridges. A modified four-point-estimate method is derived from Rosenblueth’s two-point-estimate method. Thus, the statistical moments of a bridge’s seismic demands can be obtained by several sampling points and their weights. Then, the shifted generalized lognormal distribution method is adopted to estimate the unconditional and conditional probability density functions of seismic demands, which are used for the MII analysis. The analysis of seismic demands based on piers and bearings in a finite element model of a continuous girder bridge is taken as a validation example. The MII measures of the uncertain parameters are estimated by just several nonlinear time history analyses at the point-estimate sampling points, and the results by the proposed method are compared with those found by Monte Carlo simulation. |
format |
article |
author |
Xingyu Li Ying Lei Lijun Liu |
author_facet |
Xingyu Li Ying Lei Lijun Liu |
author_sort |
Xingyu Li |
title |
Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
title_short |
Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
title_full |
Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
title_fullStr |
Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
title_full_unstemmed |
Efficient Moment-Independent Sensitivity Analysis of Uncertainties in Seismic Demand of Bridges Based on a Novel Four-Point-Estimate Method |
title_sort |
efficient moment-independent sensitivity analysis of uncertainties in seismic demand of bridges based on a novel four-point-estimate method |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/24c90460f2ad41248e397874f4c5937e |
work_keys_str_mv |
AT xingyuli efficientmomentindependentsensitivityanalysisofuncertaintiesinseismicdemandofbridgesbasedonanovelfourpointestimatemethod AT yinglei efficientmomentindependentsensitivityanalysisofuncertaintiesinseismicdemandofbridgesbasedonanovelfourpointestimatemethod AT lijunliu efficientmomentindependentsensitivityanalysisofuncertaintiesinseismicdemandofbridgesbasedonanovelfourpointestimatemethod |
_version_ |
1718435355276869632 |