A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data

•Literature establishes motives behind interest in Bayesian model updating.•Model updating of a linear dynamic system with non-classical damping using modal data.•Gibbs-sampling based algorithm proposed to update the PDF of the model parameters.•The approach also provides updated probability distrib...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 92; S. 156 - 172
Hauptverfasser:	Cheung, Sai Hung, Bansal, Sahil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin Elsevier Ltd 01.08.2017 Elsevier BV
Schlagworte:	Algorithms Bayesian analysis Bayesian model updating Damping Dynamic response Gibbs sampling Markov analysis Mathematical models Matrix methods Modal data Model updating Monte Carlo simulation Non-classical damping Parameter uncertainty Reliability analysis Risk assessment Sampling Stiffness matrix Stochastic models Stochastic simulation Substructures Upgrading Viscous damping Bayesian model updating Stochastic simulation Non-classical damping Gibbs sampling
ISSN:	0888-3270, 1096-1216
Online-Zugang:	Volltext
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