Projects per year
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.
Original language | English |
---|---|
Number of pages | 5 |
Publication status | Published - 29 Aug 2017 |
Event | 10th European Conference on Constitutive Models for Rubbers - Munich, Germany Duration: 28 Aug 2017 → 2 Aug 2018 http://www.eccmr2017.com/ |
Conference
Conference | 10th European Conference on Constitutive Models for Rubbers |
---|---|
Abbreviated title | ECCMR2017 |
Country | Germany |
City | Munich |
Period | 28/08/17 → 2/08/18 |
Internet address |
Keywords
- hyperelastic materials
- finite element simulations
- rubber-like materials
Fingerprint Dive into the research topics of 'Multi-objective optimization of hyperelastic material constants: a feasibility study'. Together they form a unique fingerprint.
Projects
- 1 Finished
-
Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Connolly, Stephen
MacKenzie, D., Gorash, Y. & Connolly, S.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/16 → 22/06/20
Project: Research Studentship - Internally Allocated
Datasets
-
Data for: "Numerical modelling of rubber hyperelasticity: parameter identification and finite element implementations"
Connolly, S. (Creator), MacKenzie, D. (Supervisor) & Gorash, Y. (Supervisor), University of Strathclyde, 24 Jun 2020
DOI: 10.15129/006b5a11-c4f9-4e30-aea5-d722d072b3a5
Dataset