Publication detail

Study on optimal setup of the ANN-aided Aimed multilevel sampling optimization method

ŠPLÍCHAL, B. LEHKÝ, D.

Original Title

Study on optimal setup of the ANN-aided Aimed multilevel sampling optimization method

Type

article in a collection out of WoS and Scopus

Language

English

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.

Keywords

Aimed multilevel sampling, artificial neural network, damage identification, model updating

Authors

ŠPLÍCHAL, B.; LEHKÝ, D.

Released

1. 4. 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"
}