Publication detail

Automation of calibration process adopting metaheuristic optimization method

KOUDELA, P. CHALMOVSKÝ, J.

Original Title

Automation of calibration process adopting metaheuristic optimization method

Type

conference paper

Language

English

Original Abstract

Optimization procedures offer a possibility for time-effective determination of input parameters values for complex soil constitutive models. The following paper presents a combination of the metaheuristic Particle swarm optimization method (PSO) and commercially available solver based on the finite element method (FEM). After the brief theoretical description, different alternatives to the PSO method are reviewed and tested. An optimal alternative is chosen and further used. In the second part of the paper, the combination PSO – FEM is utilized for a fully automatic derivation of input parameters values for the Hardening small strain model from pressuremeter tests. Predicted pressurevolume curves from the axisymmetric FE model gradually converge towards the measured curve until the accuracy criterion is reached.

Keywords

particle swarm optimization, pressuremeter test, advanced soil constitutive model

Authors

KOUDELA, P.; CHALMOVSKÝ, J.

Released

3. 12. 2019

Publisher

VGTU Press

Location

Vilnius

ISBN

978-609-476-197-3

Book

MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES MBMST 2019

ISBN

2029-9915

Periodical

Modern Building Materials, Structures and Techniques

State

Republic of Lithuania

Pages from

379

Pages to

386

Pages count

8

URL

http://webu3.vgtu.lt/uni/stf/mbmst/379-386_MBMST_142.pdf

BibTex

@inproceedings{BUT161423,
  author="Pavel {Koudela} and Juraj {Chalmovský}",
  title="Automation of calibration process adopting metaheuristic optimization method",
  booktitle="MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES MBMST 2019",
  year="2019",
  journal="Modern Building Materials, Structures and Techniques",
  pages="379--386",
  publisher="VGTU Press",
  address="Vilnius",
  doi="10.3846/mbmst.2019.142",
  isbn="978-609-476-197-3",
  issn="2029-9915",
  url="http://webu3.vgtu.lt/uni/stf/mbmst/379-386_MBMST_142.pdf"
}