Blaž Kurent (Author), Noemi Friedman (Author), Kei Ao Wai (Author), Boštjan Brank (Author)

Abstract

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 model updating. First, a generalized Polynomial Chaos surrogate model is derived representing the map from the model parameters to the eigenfrequencies and the eigenvectors. To overcome the difficulties caused by mode switching, we propose a novel approach to mode tracking based on partitioning an extended and low-rank representation of the 𝑘 mode shapes resulting from different setups of the finite element model into 𝑘 clusters by the k-means clustering algorithm. Second, the surrogate model derived with the help of mode pairing is used to efficiently perform sensitivity analysis and uncertainty quantification of the first five frequencies and the correspon ding mode shapes. Finally, the surrogate-based Bayesian update of the model parameters is efficiently performed, providing engineers not only with a finite element model that gives a good fit to the experimental modal data, but also a stochastic model that represents the uncertainties originating from the initial model and the uncertainties of measuring modal properties.

Keywords

Bayesovo posodabljanje modela;visoka lesena stavba;Surogate na podlagi polinomičnega kaosa;kvantifikacija negotovosti;podobnost modalnih oblik;modalne karakteristike;Bayesian model updating;Tall CLT building;Polynomial Chaos surrogate;Uncertainty quantification;Mode pairing;Modal data;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: Elsevier
UDC: 624.011.1:624.07
COBISS: 115033603 Link will open in a new window
ISSN: 0141-0296
Views: 89
Downloads: 30
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary title: Bayesovo posodabljanje modela visoke lesene stavbe na podlagi modalnih karakteristik
Secondary abstract: Predstavljen je postopek za stohastično analizo konstrukcij. Kot primer je izvedena stohastična analiza več nadstropne lesene stavbe.
Secondary keywords: Bayesovo posodabljanje modela;visoka lesena stavba;surogat na podlagi polinomičnega kaosa;kvantifikacija negotovosti;podobnost modalnih oblik;modalne karakteristike;
Type (COBISS): Article
Pages: 15 str.
Volume: ǂLetn. ǂ266
Issue: ǂšt. ǂsept., 114570
Chronology: 2022
DOI: 10.1016/j.engstruct.2022.114570
ID: 16015595