Bayesian updating of tall timber building model using modal data

Bayesian updating of tall timber building model using modal data

A framework for the probabilistic finite element model updating based on measured modal data is presented. The described framework is applied to a seven-storey building made of cross-laminated timber panels. The experimental estimates based on the forced vibration test are used in the process of mod...

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Bibliographic Details
Main Authors: Ao, W.K (Author), Brank, B. (Author), Friedman, N. (Author), Kurent, B. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Bayesian model updating
Bayesian networks
Finite element method
K-means clustering
Modal analysis
Modal data
Mode pairing
Mode shapes
Modeling parameters
Polynomial chaos
Polynomial chaos surrogate
Polynomial Chaos surrogate
Sensitivity analysis
Stochastic models
Stochastic systems
Surrogate modeling
Tall CLT building
Timber
Uncertainty analysis
Uncertainty quantification
Uncertainty quantifications
Wooden buildings
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