Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach
We aim to provide a study of material selection at the upper adherend subject for optimization of carbon fiber reinforced polymer (CFRP) adhesive-bonded joints with details on the stress distribution in the complex tri-material joint structure. The structure consists of a changing upper adhesive and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025008205 |
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| author | Shah Mohammad Azam Rishad Md Ashraful Islam Md Shahidul Islam |
| author_facet | Shah Mohammad Azam Rishad Md Ashraful Islam Md Shahidul Islam |
| author_sort | Shah Mohammad Azam Rishad |
| collection | DOAJ |
| description | We aim to provide a study of material selection at the upper adherend subject for optimization of carbon fiber reinforced polymer (CFRP) adhesive-bonded joints with details on the stress distribution in the complex tri-material joint structure. The structure consists of a changing upper adhesive and CFRP lower adhesive, all bonded by a nano-thickness resin adhesive layer. The research, which analyzes almost 100 upper adherend substrates, hopes to answer how they influence stress distribution at the apex of a joint, a critical factor in bond strength. These results are essential in selecting the donor properties of the upper adherend in CFRP bonded joints. As this study also supports engineers and researchers in devising optimized machine learning models for addressing CFRP-bonded joint challenges, the accuracy of stress prediction is improved by applying machine learning techniques to the collected data more refinedly. |
| format | Article |
| id | doaj-art-91767c3607f043ccb398703137efd5a6 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-91767c3607f043ccb398703137efd5a62025-02-07T04:47:57ZengElsevierHeliyon2405-84402025-02-01113e42440Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approachShah Mohammad Azam Rishad0Md Ashraful Islam1Md Shahidul Islam2Department of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, BangladeshCorresponding author.; Department of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, BangladeshDepartment of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, BangladeshWe aim to provide a study of material selection at the upper adherend subject for optimization of carbon fiber reinforced polymer (CFRP) adhesive-bonded joints with details on the stress distribution in the complex tri-material joint structure. The structure consists of a changing upper adhesive and CFRP lower adhesive, all bonded by a nano-thickness resin adhesive layer. The research, which analyzes almost 100 upper adherend substrates, hopes to answer how they influence stress distribution at the apex of a joint, a critical factor in bond strength. These results are essential in selecting the donor properties of the upper adherend in CFRP bonded joints. As this study also supports engineers and researchers in devising optimized machine learning models for addressing CFRP-bonded joint challenges, the accuracy of stress prediction is improved by applying machine learning techniques to the collected data more refinedly.http://www.sciencedirect.com/science/article/pii/S2405844025008205Machine learningBonded jointsStress analysisCFRPAdhesive |
| spellingShingle | Shah Mohammad Azam Rishad Md Ashraful Islam Md Shahidul Islam Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach Heliyon Machine learning Bonded joints Stress analysis CFRP Adhesive |
| title | Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach |
| title_full | Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach |
| title_fullStr | Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach |
| title_full_unstemmed | Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach |
| title_short | Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach |
| title_sort | analysis of stress distribution of cfrp bonded joints a study of numerical and machine learning approach |
| topic | Machine learning Bonded joints Stress analysis CFRP Adhesive |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025008205 |
| work_keys_str_mv | AT shahmohammadazamrishad analysisofstressdistributionofcfrpbondedjointsastudyofnumericalandmachinelearningapproach AT mdashrafulislam analysisofstressdistributionofcfrpbondedjointsastudyofnumericalandmachinelearningapproach AT mdshahidulislam analysisofstressdistributionofcfrpbondedjointsastudyofnumericalandmachinelearningapproach |