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Numerical Assessment of Damage Parameters for a Hard Interface Model
Adhesive interfaces are suitable modelling tools to describe very thin elastic layers and the related occurring phenomena (such as damage, viscosity, friction, etc.), without using a volumetric description, which is often computationally prohibitive in a large-scale numerical simulation. A major dra...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369939/ https://www.ncbi.nlm.nih.gov/pubmed/35955305 http://dx.doi.org/10.3390/ma15155370 |
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author | Raffa, Maria Letizia Rizzoni, Raffaella Lebon, Frédéric |
author_facet | Raffa, Maria Letizia Rizzoni, Raffaella Lebon, Frédéric |
author_sort | Raffa, Maria Letizia |
collection | PubMed |
description | Adhesive interfaces are suitable modelling tools to describe very thin elastic layers and the related occurring phenomena (such as damage, viscosity, friction, etc.), without using a volumetric description, which is often computationally prohibitive in a large-scale numerical simulation. A major drawback of these kinds of models is the identification of free parameters, because of the smallness of a direct observation scale. This paper proposes a numerical assessment of two model parameters, a damage energy threshold and a damage viscosity, of a hard interface model previously formulated by authors. The proposed assessment protocol uses macroscopic experimental data, available in the literature, on structural adhesives under standard characterization tests. The numerical results obtained give insights into the physical interpretation of these parameters. |
format | Online Article Text |
id | pubmed-9369939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93699392022-08-12 Numerical Assessment of Damage Parameters for a Hard Interface Model Raffa, Maria Letizia Rizzoni, Raffaella Lebon, Frédéric Materials (Basel) Article Adhesive interfaces are suitable modelling tools to describe very thin elastic layers and the related occurring phenomena (such as damage, viscosity, friction, etc.), without using a volumetric description, which is often computationally prohibitive in a large-scale numerical simulation. A major drawback of these kinds of models is the identification of free parameters, because of the smallness of a direct observation scale. This paper proposes a numerical assessment of two model parameters, a damage energy threshold and a damage viscosity, of a hard interface model previously formulated by authors. The proposed assessment protocol uses macroscopic experimental data, available in the literature, on structural adhesives under standard characterization tests. The numerical results obtained give insights into the physical interpretation of these parameters. MDPI 2022-08-04 /pmc/articles/PMC9369939/ /pubmed/35955305 http://dx.doi.org/10.3390/ma15155370 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Raffa, Maria Letizia Rizzoni, Raffaella Lebon, Frédéric Numerical Assessment of Damage Parameters for a Hard Interface Model |
title | Numerical Assessment of Damage Parameters for a Hard Interface Model |
title_full | Numerical Assessment of Damage Parameters for a Hard Interface Model |
title_fullStr | Numerical Assessment of Damage Parameters for a Hard Interface Model |
title_full_unstemmed | Numerical Assessment of Damage Parameters for a Hard Interface Model |
title_short | Numerical Assessment of Damage Parameters for a Hard Interface Model |
title_sort | numerical assessment of damage parameters for a hard interface model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369939/ https://www.ncbi.nlm.nih.gov/pubmed/35955305 http://dx.doi.org/10.3390/ma15155370 |
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