Generalized integral transform and Hamiltonian Monte Carlo for Bayesian structural damage identification

DOI10.1016/j.apm.2021.11.026zbMath1505.74113OpenAlexW3216843919WikidataQ114208721 ScholiaQ114208721MaRDI QIDQ2109785

L. T. Stutz, C. E. Z. Cordeiro, D. C. Knupp, Carlos Frederico Trotta Matt

Publication date: 21 December 2022

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

Full work available at URL: https://doi.org/10.1016/j.apm.2021.11.026

zbMATH Keywords

Bayesian inferencedamage identificationHamiltonian Monte Carlocontinuum damage modelgeneralized integral transform

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05) Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Uses Software

• Mathematica

Cites Work

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• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
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• MCMC-driven importance samplers
• Free vibration of a composite plate with spatially varying Gaussian properties under uncertain thermal field using assumed mode method
• On the flexibility of the design of multiple try Metropolis schemes
• New analytical free vibration solutions of orthotropic rectangular thin plates using generalized integral transformation
• On the application of generalized integral transform technique to wind-induced vibrations on overhead conductors
• Nonstationary inverse problems and state estimation
• Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review

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