A universal material model subroutine for soft matter systems

Soft materials play an integral part in many aspects of modern life including autonomy, sustainability, and human health, and their accurate modeling is critical to understand their unique properties and functions. Today's finite element analysis packages come with a set of pre-programmed material models, which may exhibit restricted validity in capturing the intricate mechanical behavior of these materials. Regrettably, incorporating a modified or novel material model in a finite element analysis package requires non-trivial in-depth knowledge of tensor algebra, continuum mechanics, and computer programming, making it a complex task that is prone to human error. Here we design a universal material subroutine, which automates the integration of novel constitutive models of varying complexity in non-linear finite element packages, with no additional analytical derivations and algorithmic implementations. We demonstrate the versatility of our approach to seamlessly integrate innovative constitutive models from the material point to the structural level through a variety of soft matter case studies: a frontal impact to the brain; reconstructive surgery of the scalp; diastolic loading of arteries and the human heart; and the dynamic closing of the tricuspid valve. Our universal material subroutine empowers all users, not solely experts, to conduct reliable engineering analysis of soft matter systems. We envision that this framework will become an indispensable instrument for continued innovation and discovery within the soft matter community at large.

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Institutions

Publication Details

Journal
Engineering With Computers
Published
2024-09-18
DOI
https://doi.org/10.1007/s00366-024-02031-w
Citations
15
Primary Topic
Elasticity and Material Modeling
Type
article
Field-Weighted Citation Impact
2.77

Funders

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article

A universal material model subroutine for soft matter systems

Mathias Peirlinck, Adrián Buganza Tepole, Manuel K. Rausch, Juan A. Hurtado et al.
15 citations
Engineering With Computers
Elasticity and Material Modeling
2.77
article

A universal material model subroutine for soft matter systems

Mathias Peirlinck, Adrián Buganza Tepole, Manuel K. Rausch, Juan A. Hurtado, Ellen Kuhl
article en
15 citations

Abstract

Soft materials play an integral part in many aspects of modern life including autonomy, sustainability, and human health, and their accurate modeling is critical to understand their unique properties and functions. Today's finite element analysis packages come with a set of pre-programmed material models, which may exhibit restricted validity in capturing the intricate mechanical behavior of these materials. Regrettably, incorporating a modified or novel material model in a finite element analysis package requires non-trivial in-depth knowledge of tensor algebra, continuum mechanics, and computer programming, making it a complex task that is prone to human error. Here we design a universal material subroutine, which automates the integration of novel constitutive models of varying complexity in non-linear finite element packages, with no additional analytical derivations and algorithmic implementations. We demonstrate the versatility of our approach to seamlessly integrate innovative constitutive models from the material point to the structural level through a variety of soft matter case studies: a frontal impact to the brain; reconstructive surgery of the scalp; diastolic loading of arteries and the human heart; and the dynamic closing of the tricuspid valve. Our universal material subroutine empowers all users, not solely experts, to conduct reliable engineering analysis of soft matter systems. We envision that this framework will become an indispensable instrument for continued innovation and discovery within the soft matter community at large.

Engineering With ComputersVol. 41(2)
Purdue University West Lafayette (US), Dassault Systèmes (France) (FR), The University of Texas at Austin (US), Stanford University (US), Delft University of Technology (NL)
National Science Foundation, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, European Research Council, Division of Civil, Mechanical and Manufacturing Innovation
Industry, innovation and infrastructure, Responsible consumption and production
Openalex Percentile: Top 9%
Elasticity and Material Modeling
2.77
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