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Improved hyperelastic material characterization using measurement data pre-processing

Kovacs, Zoltan and Aninger, Andras and Berezvai, Szabolcs (2025) Improved hyperelastic material characterization using measurement data pre-processing. JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 63 (3). pp. 679-690. ISSN 1429-2955

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Abstract

Mechanical characterization of elastomers is a long-studied but still challenging area. Finite element solvers offer a great variety of hyperelastic models; however, no straightforward selection process is provided. This paper presents a methodology for high-fidelity hyperelastic parameter fitting tailored for elastomers. One of its main components is a pre-processing module, which helps select the most suitable model based on all information extractable from the measured stress-strain curves. In this contribution, the concept of the pre-processing module is presented, while its efficiency is demonstrated through benchmark fitting processes using the Treloar dataset and an experimental dataset of an nitril butadiene rubber (NBR) specimen.

Item Type: Article
Additional Information: Funding Agency and Grant Number: National Research, Development and Innovation Office [2020-1.1.2-Piaci-KFI-2021-00314]; Hungarian National Research, Development and Innovation Office (NKFIH NKKP STARTING) [149473]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences Funding text: This research activity has been completed with the grant from the National Research, Development and Innovation Office. The project title is as follows: Precision Characterization of Nonlinear Mechanical Behaviour of Reinforced and Unreinforced Polymeric Materials for Numerical Simulations (project number: 2020-1.1.2-Piaci-KFI-2021-00314) . Szabolcs Berezvai has been supported by the Hungarian National Research, Development and Innovation Office (NKFIH NKKP STARTING 149473) and the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences.
Uncontrolled Keywords: hyperelasticity; elastomers; parameter-optimization
Subjects: T Technology / alkalmazott, műszaki tudományok > TJ Mechanical engineering and machinery / gépészmérnöki tudományok
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 22 Sep 2025 06:26
Last Modified: 22 Sep 2025 06:26
URI: https://real.mtak.hu/id/eprint/224753

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