Publication detail

Material parameters estimation of Small Punch test by two variants of genetic algorithms

HRABOVSKÝ, J. LOŠÁK, P. HORSKÝ, J.

Original Title

Material parameters estimation of Small Punch test by two variants of genetic algorithms

Type

conference paper

Language

English

Original Abstract

The issue of material data and obtaining parameters is fundamental to all engineering applications. To perform required analyses and obtain relevant results it is necessary to have sufficient input data and information. For designing and solving a given problem it is crucial to know material properties. We have several methods for obtaining material data. One method is the Small Punch Test (SPT). This method is considered non-destructive. The experimental samples for SPT have small dimensions and therefore can be obtained from a tested structure without significant destruction. When respecting certain assumptions, this method can be considered equivalent to tensile experimental procedure. By using this method it is possible to measure the same parameters as when using a tensile test. The typical results of the SPT measurements are force-deflection curves. It is possible to use numerical simulation to convert a force-deflection curve to a stress strain curve. This paper presents two methods of determining suitable material parameters for transformation of force-deflection curves to stress-strain curve for defined steel at elevated temperature at the Ansys Workbench. To determine the appropriate transformation, two types of material models (Ramberg-Osgood model, Chaboche model) and two variants of genetic algorithms were used. For the first variant, the optimization toolbox implemented in the Ansys Workbench was used. For the second variant, a genetic algorithm from the Python scripting language into the Ansys Workbench was implemented. The presented results show the advantages and disadvantages of considered methods and it is possible to select a method for many engineering applications. The estimation of the material parameters were studied for steel with a higher content of silicon.

Keywords

Small Punch, Chaboche model, Ramberg-Osgood model, genetic algorithm

Authors

HRABOVSKÝ, J.; LOŠÁK, P.; HORSKÝ, J.

RIV year

2014

Released

25. 6. 2014

Publisher

SVS FEM s.r.o.

Location

Jasná

ISBN

978-80-905525-1-7

Book

22nd SVSFEM ANSYS Users' Group Meeting and Conference 2014

Edition

1

Pages from

57

Pages to

65

Pages count

9

URL

http://aum.svsfem.cz

BibTex

@inproceedings{BUT111496,
  author="Jozef {Hrabovský} and Petr {Lošák} and Jaroslav {Horský}",
  title="Material parameters estimation of Small Punch test by two variants of genetic algorithms",
  booktitle="22nd SVSFEM ANSYS Users' Group Meeting and Conference 2014",
  year="2014",
  series="1",
  pages="57--65",
  publisher="SVS FEM s.r.o.",
  address="Jasná",
  isbn="978-80-905525-1-7",
  url="http://aum.svsfem.cz"
}