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

Povzetek

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.

Ključne besede

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;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
Založnik: Elsevier
UDK: 624.011.1:624.07
COBISS: 115033603 Povezava se bo odprla v novem oknu
ISSN: 0141-0296
Št. ogledov: 89
Št. prenosov: 30
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarni naslov: Bayesovo posodabljanje modela visoke lesene stavbe na podlagi modalnih karakteristik
Sekundarni povzetek: Predstavljen je postopek za stohastično analizo konstrukcij. Kot primer je izvedena stohastična analiza več nadstropne lesene stavbe.
Sekundarne ključne besede: Bayesovo posodabljanje modela;visoka lesena stavba;surogat na podlagi polinomičnega kaosa;kvantifikacija negotovosti;podobnost modalnih oblik;modalne karakteristike;
Vrsta dela (COBISS): Članek v reviji
Strani: 15 str.
Letnik: ǂLetn. ǂ266
Zvezek: ǂšt. ǂsept., 114570
Čas izdaje: 2022
DOI: 10.1016/j.engstruct.2022.114570
ID: 16015595