Detail publikace

Automation of calibration process adopting metaheuristic optimization method

KOUDELA, P. CHALMOVSKÝ, J.

Originální název

Automation of calibration process adopting metaheuristic optimization method

Anglický název

Automation of calibration process adopting metaheuristic optimization method

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@inproceedings{BUT161423,
  author="Pavel {Koudela} and Juraj {Chalmovský}",
  title="Automation of calibration process adopting metaheuristic optimization method",
  annote="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.",
  address="VGTU Press",
  booktitle="MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES MBMST 2019",
  chapter="161423",
  doi="10.3846/mbmst.2019.142",
  howpublished="online",
  institution="VGTU Press",
  year="2019",
  month="december",
  pages="379--386",
  publisher="VGTU Press",
  type="conference paper"
}