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Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM

Experimental methodologies for fatigue lifetime prediction are time-intensive and susceptible to environmental variables. Although the cohesive zone model is popular for predicting adhesive fatigue lifetime, entropy-based methods have also displayed potential. This study aims to (1) provide an under...

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Detalles Bibliográficos
Autores principales: Li, Yutong, Deng, Huachao, Takamura, Maruri, Koyanagi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608148/
https://www.ncbi.nlm.nih.gov/pubmed/37895801
http://dx.doi.org/10.3390/ma16206821
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author Li, Yutong
Deng, Huachao
Takamura, Maruri
Koyanagi, Jun
author_facet Li, Yutong
Deng, Huachao
Takamura, Maruri
Koyanagi, Jun
author_sort Li, Yutong
collection PubMed
description Experimental methodologies for fatigue lifetime prediction are time-intensive and susceptible to environmental variables. Although the cohesive zone model is popular for predicting adhesive fatigue lifetime, entropy-based methods have also displayed potential. This study aims to (1) provide an understanding of the durability characteristics of carbon fiber-reinforced plastic (CFRP) adhesive joints by incorporating an entropy damage model within the context of the finite element method and (2) examine the effects of different adhesive layer thicknesses on single-lap shear models. As the thickness of the adhesive layer increases, damage variables initially increase and then decrease. These peak at 0.3 mm. This observation provides a crucial understanding of the stress behavior at the resin–CFRP interface and the fatigue mechanisms of the resin.
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spelling pubmed-106081482023-10-28 Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM Li, Yutong Deng, Huachao Takamura, Maruri Koyanagi, Jun Materials (Basel) Article Experimental methodologies for fatigue lifetime prediction are time-intensive and susceptible to environmental variables. Although the cohesive zone model is popular for predicting adhesive fatigue lifetime, entropy-based methods have also displayed potential. This study aims to (1) provide an understanding of the durability characteristics of carbon fiber-reinforced plastic (CFRP) adhesive joints by incorporating an entropy damage model within the context of the finite element method and (2) examine the effects of different adhesive layer thicknesses on single-lap shear models. As the thickness of the adhesive layer increases, damage variables initially increase and then decrease. These peak at 0.3 mm. This observation provides a crucial understanding of the stress behavior at the resin–CFRP interface and the fatigue mechanisms of the resin. MDPI 2023-10-23 /pmc/articles/PMC10608148/ /pubmed/37895801 http://dx.doi.org/10.3390/ma16206821 Text en © 2023 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
Li, Yutong
Deng, Huachao
Takamura, Maruri
Koyanagi, Jun
Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title_full Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title_fullStr Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title_full_unstemmed Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title_short Durability Analysis of CFRP Adhesive Joints: A Study Based on Entropy Damage Modeling Using FEM
title_sort durability analysis of cfrp adhesive joints: a study based on entropy damage modeling using fem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608148/
https://www.ncbi.nlm.nih.gov/pubmed/37895801
http://dx.doi.org/10.3390/ma16206821
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