A Bayesian finite element model updating with combined normal and lognormal probability distributions using modal measurements

DOI10.1016/j.apm.2018.05.004zbMath1462.62175OpenAlexW2804785704WikidataQ129794576 ScholiaQ129794576MaRDI QIDQ2308221

Yanyan Li

Publication date: 26 March 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2018.05.004

zbMATH Keywords

finite element methodMarkov chain Monte Carlomodel updatinglognormal distributiondamage detectionBayesian approach

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)

Related Items (3)

A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: application to a full-scale bridge structure ⋮ A new homotopy approach for stochastic static model updating with large uncertain measurement errors ⋮ Stochastic model updating method for estimates of arbitrary distributed parameters using resampling technique

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