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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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) |
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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 |
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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 |
_version_ |
1718413137147854848 |