Inverse analysis and optimization-based model updating for structural damage detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F23%3APU149729" target="_blank" >RIV/00216305:26110/23:PU149729 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2136" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2136</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cepa.2136" target="_blank" >10.1002/cepa.2136</a>

Result language

angličtina

Original language name

Inverse analysis and optimization-based model updating for structural damage detection

Original language description

Structural health monitoring and early detection of structural damage is extremely important to maintain and preserve the service life of civil engineering structures. Identification of structural damage is usually performed using non-destructive vibration experiments combined with a mathematical procedure called model updating. The finite element model of the investigated structure is updated by incrementally adjusting its parameters so that the model responses gradually approach those of the real possibly damaged structure under investigation. This paper describes the use of two model updating methods. The first method employs metaheuristic optimization technique aimed multilevel sampling to efficiently search the design parameter space to achieve the best match between the deformed structure and its model. The second method approaches model updating as an inverse problem and uses machine learning-based model to approximate inverse relationship between structural response and structural parameters. Both methods are applied to damage identification of single- and double-span steel trusses. Finally, initial results of the hybrid method are presented. The effect of the damage rate and location on the identification speed and the accuracy of the solution is investigated and discussed.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

EUROSTRUCT 2023 - European Association on Quality Control of Bridges and Structures: Digital Transformation in Sustainability

ISBN

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ISSN

2509-7075

e-ISSN

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Number of pages

6

Pages from-to

1228-1233

Publisher name

Ernst & Sohn

Place of publication

Berlin, Germany

Event location

Vienna, Austria

Event date

Sep 25, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001256546000037