Damage detection of riveted truss bridge using ANN-aided AMS optimization method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU151565" target="_blank" >RIV/00216305:26110/24:PU151565 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003483755" target="_blank" >https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003483755</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9781003483755-270" target="_blank" >10.1201/9781003483755-270</a>
Alternative languages
Result language
angličtina
Original language name
Damage detection of riveted truss bridge using ANN-aided AMS optimization method
Original language description
Aging transport infrastructure brings increased economic burden and uncertainties regarding the reliability, durability and safe use of structures. Early damage detection to locate incipient damage provides an opportunity for early structural maintenance and can guarantee structural reliability and continuing serviceability. This paper describes the use of the hybrid identification method, which combines a metaheuristic optimization technique aimed multilevel sampling with an artificial neural network-based surrogate model to approximate the inverse relationship between structural response and structural parameters. The method is applied to identify damage in existing riveted truss bridge. 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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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20101 - Civil engineering
Result continuities
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)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bridge Maintenance, Safety, Management, Digitalization and Sustainability
ISBN
9781003483755
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2279-2286
Publisher name
CRC Press
Place of publication
London
Event location
Copenhagen, Denmark
Event date
Jun 24, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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