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ŠPLÍCHAL, B.; LEHKÝ, D.
Original Title
Study on optimal setup of the ANN-aided Aimed multilevel sampling optimization method
English Title
Type
Paper in proceedings outside WoS and Scopus
Original 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.
English abstract
Keywords
Aimed multilevel sampling, artificial neural network, damage identification, model updating
Key words in English
Authors
Released
01.04.2024
Publisher
ECON publishing, s.r.o.
Location
Brno
ISBN
978-80-86433-83-7
Book
Proceedings 26th International Scientific Conference Of Civil Engineering
Pages count
5
URL
https://juniorstav.fce.vutbr.cz/wp-content/uploads/2024/04/03_DOI_24033-FINAL-Bohumil-splichal.pdf
BibTex
@inproceedings{BUT187455, author="Bohumil {Šplíchal} and David {Lehký}", title="Study on optimal setup of the ANN-aided Aimed multilevel sampling optimization method", booktitle="Proceedings 26th International Scientific Conference Of Civil Engineering", year="2024", pages="5", publisher="ECON publishing, s.r.o.", address="Brno", doi="10.13164/juniorstav.2024.24033", isbn="978-80-86433-83-7", url="https://juniorstav.fce.vutbr.cz/wp-content/uploads/2024/04/03_DOI_24033-FINAL-Bohumil-splichal.pdf" }