Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations

The Bayesian model updating approach (BMUA) benefits from identifying the most probable values of structural parameters and providing uncertainty quantification. However, the traditional BMUA is often used to update stiffness only with the assumption of well-known mass, which allows unidentifiable c...

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Autores principales: Jice Zeng, Young Hoon Kim
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:5d7840ca81f64751a443e4f7e10ca6062021-11-25T16:33:17ZStiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations10.3390/app1122106152076-3417https://doaj.org/article/5d7840ca81f64751a443e4f7e10ca6062021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10615https://doaj.org/toc/2076-3417The Bayesian model updating approach (BMUA) benefits from identifying the most probable values of structural parameters and providing uncertainty quantification. However, the traditional BMUA is often used to update stiffness only with the assumption of well-known mass, which allows unidentifiable cases induced by the coupling effect of mass and stiffness to be circumvented and may not be optimal for structures experiencing damages in both mass and stiffness. In this paper, the new BMUA tailored to estimating both mass and stiffness is presented by using two measurement states (original and modified systems). A new eigenequation with a stiffness-modified system is formulated to address the coupling effect of mass and stiffness. The posterior function is treated using an asymptotic approximation method, giving the new objective functions with stiffness modification. Analytical formulations of modal parameters and structural parameters are then derived by a linear optimization method. In addition, the covariance matrix of uncertain parameters is determined by the inverse of the Hessian matrix of the objective function. The performance of the proposed BMUA is evaluated through two numerical examples in this study; a probabilistic damage estimation is also implemented. The results show the proposed BMUA is superior to the traditional one in mass and stiffness updating.Jice ZengYoung Hoon KimMDPI AGarticleBayesian model updating approachcoupling effectmodified systemstiffness modificationprobabilistic damage estimationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10615, p 10615 (2021)
institution DOAJ
collection DOAJ
language EN
topic Bayesian model updating approach
coupling effect
modified system
stiffness modification
probabilistic damage estimation
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle Bayesian model updating approach
coupling effect
modified system
stiffness modification
probabilistic damage estimation
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Jice Zeng
Young Hoon Kim
Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
description The Bayesian model updating approach (BMUA) benefits from identifying the most probable values of structural parameters and providing uncertainty quantification. However, the traditional BMUA is often used to update stiffness only with the assumption of well-known mass, which allows unidentifiable cases induced by the coupling effect of mass and stiffness to be circumvented and may not be optimal for structures experiencing damages in both mass and stiffness. In this paper, the new BMUA tailored to estimating both mass and stiffness is presented by using two measurement states (original and modified systems). A new eigenequation with a stiffness-modified system is formulated to address the coupling effect of mass and stiffness. The posterior function is treated using an asymptotic approximation method, giving the new objective functions with stiffness modification. Analytical formulations of modal parameters and structural parameters are then derived by a linear optimization method. In addition, the covariance matrix of uncertain parameters is determined by the inverse of the Hessian matrix of the objective function. The performance of the proposed BMUA is evaluated through two numerical examples in this study; a probabilistic damage estimation is also implemented. The results show the proposed BMUA is superior to the traditional one in mass and stiffness updating.
format article
author Jice Zeng
Young Hoon Kim
author_facet Jice Zeng
Young Hoon Kim
author_sort Jice Zeng
title Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
title_short Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
title_full Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
title_fullStr Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
title_full_unstemmed Stiffness Modification-Based Bayesian Finite Element Model Updating to Solve Coupling Effect of Structural Parameters: Formulations
title_sort stiffness modification-based bayesian finite element model updating to solve coupling effect of structural parameters: formulations
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/5d7840ca81f64751a443e4f7e10ca606
work_keys_str_mv AT jicezeng stiffnessmodificationbasedbayesianfiniteelementmodelupdatingtosolvecouplingeffectofstructuralparametersformulations
AT younghoonkim stiffnessmodificationbasedbayesianfiniteelementmodelupdatingtosolvecouplingeffectofstructuralparametersformulations
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