Study on Optimal Setup of the ANN-Aided Aimed Multilevel Sampling Optimization Method
Loading...
Date
2024-05-07
Authors
Šplíchal, Bohumil
Lehký, David
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně,Fakulta stavební
Altmetrics
Abstract
This paper deals with the application of Aimed multilevel sampling metaheuristic optimization method supported by an artificial neural network. The main aim is to study the optimal parameter settings of this method for damage identification on a two-span steel truss using a limited number of simulations. The convergence rate is tested as a function of the number of simulations and the choice of the parameter that controls the resizing of the design space. The results are summarized and discussed with respect to their practical applicability in bridge damage identification using structural health monitoring data.
Description
Citation
Juniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, s. 1-7. ISBN 978-80-86433-83-7.
https://juniorstav.fce.vutbr.cz/proceedings2024/
https://juniorstav.fce.vutbr.cz/proceedings2024/
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně,Fakulta stavební