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Bayesian updating of tall timber building model using modal data
ID Kurent, Blaž (Author), ID Friedman, Noemi (Author), ID Ao, Wai Kei (Author), ID Brank, Boštjan (Author)

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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.

Language:English
Keywords:Bayesian model updating, tall CLT building, Polynomial Chaos surrogate, Uncertainty quantification, mode pairing, modal data
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Year:2022
Number of pages:15 str.
Numbering:Vol. 266, art. 114570
PID:20.500.12556/RUL-138559 This link opens in a new window
UDC:624.011.1:624.07
ISSN on article:0141-0296
DOI:10.1016/j.engstruct.2022.114570 This link opens in a new window
COBISS.SI-ID:115033603 This link opens in a new window
Publication date in RUL:27.07.2022
Views:804
Downloads:177
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Record is a part of a journal

Title:Engineering structures
Shortened title:Eng. struct.
Publisher:Elsevier
ISSN:0141-0296
COBISS.SI-ID:7750666 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:Bayesovo posodabljanje modela, visoka lesena stavba, surogat na podlagi polinomičnega kaosa, kvantifikacija negotovosti, podobnost modalnih oblik, modalne karakteristike

Projects

Funder:EC - European Commission
Funding programme:H2020
Project number:773324
Name:Innovating forest-based bioeconomy
Acronym:ForestValue

Funder:Other - Other funder or multiple funders
Funding programme:Republic of Slovenia, Ministry of Education, Science and Sport
Acronym:ForestValue

Funder:Other - Other funder or multiple funders
Funding programme:Forestry Commission GB
Acronym:ForestValue

Funder:Other - Other funder or multiple funders
Funding programme:ERA-NET Cofund ForestValue
Acronym:DynaTTB

Funder:ARRS - Slovenian Research Agency
Project number:J2-2490
Name:Podatkovno podprto modeliranje obnašanja gradbenih konstrukcij

Funder:Other - Other funder or multiple funders
Funding programme:Hungary, Ministry of Innovation and Technology, NRDI Office, Artificial Intelligence National Laboratory Program

Funder:Other - Other funder or multiple funders
Funding programme:Hungary, National Research, Development and Innovation Office
Project number:SNN 134368

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