Liming Zheng, Lingze Yuan, Nengwen Wang, Xintian Liu
{"title":"Numerical Laminate Screening of Pin-Loaded CFRP Driveshaft Joints Using Progressive Damage Analysis and Multi-Criteria Evaluation.","authors":"Liming Zheng, Lingze Yuan, Nengwen Wang, Xintian Liu","doi":"10.3390/polym18192435","DOIUrl":null,"url":null,"abstract":"<p><p>Carbon fiber-reinforced polymer (CFRP) driveshafts offer significant lightweight potential, but the performance of pin-loaded joints is strongly affected by laminate architecture. To support laminate selection beyond peak strength alone, a numerical screening framework combining finite-element analysis, Hashin-based progressive damage modeling, and multi-criteria evaluation was developed. Seven representative layups were compared under axial compression considering off-axis fiber orientation, stacking order, hoop restraint, and mid-plane symmetry. The results showed that Layup 3 achieved the highest peak load of 28.38 kN but exhibited abrupt brittle failure, whereas Layup 1 reached 22.02 kN with more gradual post-peak degradation and localized progressive damage. Removal of hoop-oriented plies promoted longitudinal splitting-type deformation, while asymmetric stacking reduced deformation stability. By integrating peak load, effective energy absorption, and failure safety, Layup 1 achieved the highest comprehensive evaluation index of 0.612 and remained preferred when the safety weight exceeded approximately 0.2. Within the present numerical framework, the proposed approach provides a practical basis for preliminary laminate screening of CFRP driveshaft joints.</p>","PeriodicalId":20416,"journal":{"name":"Polymers","volume":"18 19","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13667113/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polymers","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/polym18192435","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Carbon fiber-reinforced polymer (CFRP) driveshafts offer significant lightweight potential, but the performance of pin-loaded joints is strongly affected by laminate architecture. To support laminate selection beyond peak strength alone, a numerical screening framework combining finite-element analysis, Hashin-based progressive damage modeling, and multi-criteria evaluation was developed. Seven representative layups were compared under axial compression considering off-axis fiber orientation, stacking order, hoop restraint, and mid-plane symmetry. The results showed that Layup 3 achieved the highest peak load of 28.38 kN but exhibited abrupt brittle failure, whereas Layup 1 reached 22.02 kN with more gradual post-peak degradation and localized progressive damage. Removal of hoop-oriented plies promoted longitudinal splitting-type deformation, while asymmetric stacking reduced deformation stability. By integrating peak load, effective energy absorption, and failure safety, Layup 1 achieved the highest comprehensive evaluation index of 0.612 and remained preferred when the safety weight exceeded approximately 0.2. Within the present numerical framework, the proposed approach provides a practical basis for preliminary laminate screening of CFRP driveshaft joints.
期刊介绍:
Polymers (ISSN 2073-4360) is an international, open access journal of polymer science. It publishes research papers, short communications and review papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Polymers provides an interdisciplinary forum for publishing papers which advance the fields of (i) polymerization methods, (ii) theory, simulation, and modeling, (iii) understanding of new physical phenomena, (iv) advances in characterization techniques, and (v) harnessing of self-assembly and biological strategies for producing complex multifunctional structures.