Detail publikačního výsledku

Improved Sensitivity Analysis in the Inverse Identification of the Parameters of a Nonlinear Material Model

HOKEŠ, F.; KRÁL, P.; KRŇÁVEK, O.; HUŠEK, M.

Originální název

Improved Sensitivity Analysis in the Inverse Identification of the Parameters of a Nonlinear Material Model

Anglický název

Improved Sensitivity Analysis in the Inverse Identification of the Parameters of a Nonlinear Material Model

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

During the inverse identification of the parameters of a nonlinear material model via an optimization algorithm, it is advantageous to utilize sensitivity analysis as a pre-processing tool to decrease the dimensions of the design vector by removing insignificant parameters. As regards the optimization and sensitivity analysis, a crucial aspect consists in the choice of the objective function. It is possible to derive special forms of objective functions for better understanding of the functionality of the given complex material model. The present article discusses three types of Python scripts that facilitate the calculation of different objective functions from the numerically and experimentally obtained load-displacement curves.

Anglický abstrakt

During the inverse identification of the parameters of a nonlinear material model via an optimization algorithm, it is advantageous to utilize sensitivity analysis as a pre-processing tool to decrease the dimensions of the design vector by removing insignificant parameters. As regards the optimization and sensitivity analysis, a crucial aspect consists in the choice of the objective function. It is possible to derive special forms of objective functions for better understanding of the functionality of the given complex material model. The present article discusses three types of Python scripts that facilitate the calculation of different objective functions from the numerically and experimentally obtained load-displacement curves.

Klíčová slova

Sensitivity, optimisation, identification, nonlinear material model of concrete, Python.

Klíčová slova v angličtině

Sensitivity, optimisation, identification, nonlinear material model of concrete, Python.

Autoři

HOKEŠ, F.; KRÁL, P.; KRŇÁVEK, O.; HUŠEK, M.

Rok RIV

2018

Vydáno

22.02.2017

Kniha

Modern Building Materials, Structures and Techniques

ISSN

1877-7058

Periodikum

Procedia Engineering

Svazek

2017

Číslo

172

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

8

Strany počet

8

BibTex

@inproceedings{BUT133260,
  author="Filip {Hokeš} and Petr {Král} and Ondřej {Krňávek} and Martin {Hušek}",
  title="Improved Sensitivity Analysis in the Inverse Identification of the Parameters of a Nonlinear Material Model",
  booktitle="Modern Building Materials, Structures and Techniques",
  year="2017",
  journal="Procedia Engineering",
  volume="2017",
  number="172",
  pages="1--8",
  doi="10.1016/j.proeng.2017.02.039"
}