Multi-objective optimization of hyperelastic material constants: a feasibility study

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

A preliminary study of the use of multi-objective optimization methods in determining the material constants of a hyperelastic material model is presented. Classical experimental data is fitted to the third-order Ogden and the third-order Yeoh model hyperelastic material models through finite element analysis and multi-objective optimization, using the Simulia products Abaqus and Isight, respectively. The resulting hyperelastic material constants for both material models provide an improved curve-fit over the integrated fitting tool within Abaqus, in terms of average absolute difference (error). This indicates that this approach is suitable for development of an efficient and effective method for experimental characterization of rubber-like materials using both homogeneous and inhomogeneous experimental results.

Conference

Conference10th European Conference on Constitutive Models for Rubbers
Abbreviated titleECCMR2017
CountryGermany
CityMunich
Period28/08/172/08/18
Internet address

Fingerprint

Multiobjective optimization
Rubber
Finite element method

Keywords

  • hyperelastic materials
  • finite element simulations
  • rubber-like materials

Cite this

Connolly, S. J., MacKenzie, D., & Comlekci, T. (2017). Multi-objective optimization of hyperelastic material constants: a feasibility study. Paper presented at 10th European Conference on Constitutive Models for Rubbers, Munich, Germany.
Connolly, Stephen John ; MacKenzie, Donald ; Comlekci, Tugrul. / Multi-objective optimization of hyperelastic material constants : a feasibility study. Paper presented at 10th European Conference on Constitutive Models for Rubbers, Munich, Germany.5 p.
@conference{087d0a29a4b84a5fba2091cb3a4477e4,
title = "Multi-objective optimization of hyperelastic material constants: a feasibility study",
abstract = "A preliminary study of the use of multi-objective optimization methods in determining the material constants of a hyperelastic material model is presented. Classical experimental data is fitted to the third-order Ogden and the third-order Yeoh model hyperelastic material models through finite element analysis and multi-objective optimization, using the Simulia products Abaqus and Isight, respectively. The resulting hyperelastic material constants for both material models provide an improved curve-fit over the integrated fitting tool within Abaqus, in terms of average absolute difference (error). This indicates that this approach is suitable for development of an efficient and effective method for experimental characterization of rubber-like materials using both homogeneous and inhomogeneous experimental results.",
keywords = "hyperelastic materials, finite element simulations, rubber-like materials",
author = "Connolly, {Stephen John} and Donald MacKenzie and Tugrul Comlekci",
year = "2017",
month = "8",
day = "29",
language = "English",
note = "10th European Conference on Constitutive Models for Rubbers, ECCMR2017 ; Conference date: 28-08-2017 Through 02-08-2018",
url = "http://www.eccmr2017.com/",

}

Connolly, SJ, MacKenzie, D & Comlekci, T 2017, 'Multi-objective optimization of hyperelastic material constants: a feasibility study' Paper presented at 10th European Conference on Constitutive Models for Rubbers, Munich, Germany, 28/08/17 - 2/08/18, .

Multi-objective optimization of hyperelastic material constants : a feasibility study. / Connolly, Stephen John; MacKenzie, Donald; Comlekci, Tugrul.

2017. Paper presented at 10th European Conference on Constitutive Models for Rubbers, Munich, Germany.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Multi-objective optimization of hyperelastic material constants

T2 - a feasibility study

AU - Connolly, Stephen John

AU - MacKenzie, Donald

AU - Comlekci, Tugrul

PY - 2017/8/29

Y1 - 2017/8/29

N2 - A preliminary study of the use of multi-objective optimization methods in determining the material constants of a hyperelastic material model is presented. Classical experimental data is fitted to the third-order Ogden and the third-order Yeoh model hyperelastic material models through finite element analysis and multi-objective optimization, using the Simulia products Abaqus and Isight, respectively. The resulting hyperelastic material constants for both material models provide an improved curve-fit over the integrated fitting tool within Abaqus, in terms of average absolute difference (error). This indicates that this approach is suitable for development of an efficient and effective method for experimental characterization of rubber-like materials using both homogeneous and inhomogeneous experimental results.

AB - A preliminary study of the use of multi-objective optimization methods in determining the material constants of a hyperelastic material model is presented. Classical experimental data is fitted to the third-order Ogden and the third-order Yeoh model hyperelastic material models through finite element analysis and multi-objective optimization, using the Simulia products Abaqus and Isight, respectively. The resulting hyperelastic material constants for both material models provide an improved curve-fit over the integrated fitting tool within Abaqus, in terms of average absolute difference (error). This indicates that this approach is suitable for development of an efficient and effective method for experimental characterization of rubber-like materials using both homogeneous and inhomogeneous experimental results.

KW - hyperelastic materials

KW - finite element simulations

KW - rubber-like materials

UR - http://www.eccmr2017.com/

M3 - Paper

ER -

Connolly SJ, MacKenzie D, Comlekci T. Multi-objective optimization of hyperelastic material constants: a feasibility study. 2017. Paper presented at 10th European Conference on Constitutive Models for Rubbers, Munich, Germany.