{"title":"Failure analysis methods for corrugated-core sandwich cylinders based on identified composite parameters and modified failure criteria","authors":"He Zhang , Hualin Fan","doi":"10.1016/j.compscitech.2025.111051","DOIUrl":null,"url":null,"abstract":"<div><div>Composite structures have high sensitivity to inaccuracy of material parameters and geometry imperfections from making process, which greatly affect the accuracy of the ultimate load prediction. Three methods were proposed to enhance the accuracy of the ultimate load prediction of corrugated-core sandwich cylinders, including the finite element modelling (FEM) method based on parameter identification by vibration correlation technique (VCT), the failure map method based on multi-failure theory, and the knockdown factor (KDF) method based on imperfection sensitivity analysis. Traditional composite failure criteria were modified by the identified mechanical parameters. Adopting standard composite parameters, the FEM prediction error for the ultimate load is 50.5 %, and reduced to 20.9 %, 12.14 %, and 4.54 % by these three proposed methods based on identified parameters and modified failure criteria. Considering imperfections, the KDF method based on imperfection sensitivity analysis could suggest the most consistent ultimate load prediction with the experiment.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111051"},"PeriodicalIF":8.3000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Science and Technology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266353825000193","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
引用次数: 0
Abstract
Composite structures have high sensitivity to inaccuracy of material parameters and geometry imperfections from making process, which greatly affect the accuracy of the ultimate load prediction. Three methods were proposed to enhance the accuracy of the ultimate load prediction of corrugated-core sandwich cylinders, including the finite element modelling (FEM) method based on parameter identification by vibration correlation technique (VCT), the failure map method based on multi-failure theory, and the knockdown factor (KDF) method based on imperfection sensitivity analysis. Traditional composite failure criteria were modified by the identified mechanical parameters. Adopting standard composite parameters, the FEM prediction error for the ultimate load is 50.5 %, and reduced to 20.9 %, 12.14 %, and 4.54 % by these three proposed methods based on identified parameters and modified failure criteria. Considering imperfections, the KDF method based on imperfection sensitivity analysis could suggest the most consistent ultimate load prediction with the experiment.
期刊介绍:
Composites Science and Technology publishes refereed original articles on the fundamental and applied science of engineering composites. The focus of this journal is on polymeric matrix composites with reinforcements/fillers ranging from nano- to macro-scale. CSTE encourages manuscripts reporting unique, innovative contributions to the physics, chemistry, materials science and applied mechanics aspects of advanced composites.
Besides traditional fiber reinforced composites, novel composites with significant potential for engineering applications are encouraged.