Marcus Iversen , Anton Årmann , Robert M. Auenhammer , Nikoleta Pasvanti , Johann Körbelin , Kai Kallio , Leif E. Asp , Renaud Gutkin
{"title":"Numerical failure modelling of natural fibre composite coupons using X-ray computed tomography based modelling","authors":"Marcus Iversen , Anton Årmann , Robert M. Auenhammer , Nikoleta Pasvanti , Johann Körbelin , Kai Kallio , Leif E. Asp , Renaud Gutkin","doi":"10.1016/j.tmater.2024.100042","DOIUrl":null,"url":null,"abstract":"<div><div>Natural fibre composites offer versatile applications across industries while being superior in sustainability aspects compared to other composite types. To unlock their full potential, it is essential to understand their complex failure involving fibre failure, matrix cracking, and debonding at the fibre-matrix interface. Efforts to address these challenges focus on advanced numerical models, probing behaviour from micro to macro scales. However, these models face complexities in handling intricate failure modes given the non-uniform nature of natural fibres. To overcome these challenges, image-based modelling using X-ray computed tomography scans is proposed. This work’s novelty lies in integrating detailed microstructure information with a nonlinear calibration procedure to accurately model damage and failure in natural fiber composites. It marks a significant step toward developing a virtual testing model, paving the way for assessing composites with varying fiber content or fiber types.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"6 ","pages":"Article 100042"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tomography of Materials and Structures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949673X24000196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Natural fibre composites offer versatile applications across industries while being superior in sustainability aspects compared to other composite types. To unlock their full potential, it is essential to understand their complex failure involving fibre failure, matrix cracking, and debonding at the fibre-matrix interface. Efforts to address these challenges focus on advanced numerical models, probing behaviour from micro to macro scales. However, these models face complexities in handling intricate failure modes given the non-uniform nature of natural fibres. To overcome these challenges, image-based modelling using X-ray computed tomography scans is proposed. This work’s novelty lies in integrating detailed microstructure information with a nonlinear calibration procedure to accurately model damage and failure in natural fiber composites. It marks a significant step toward developing a virtual testing model, paving the way for assessing composites with varying fiber content or fiber types.
天然纤维复合材料可广泛应用于各行各业,同时在可持续性方面优于其他类型的复合材料。要充分挖掘天然纤维复合材料的潜力,就必须了解其复杂的失效情况,包括纤维失效、基体开裂以及纤维-基体界面的脱粘。应对这些挑战的努力主要集中在先进的数值模型上,以探测从微观到宏观尺度的行为。然而,由于天然纤维的非均匀性,这些模型在处理复杂的失效模式时面临着复杂性。为了克服这些挑战,我们提出了利用 X 射线计算机断层扫描进行图像建模的方法。这项工作的新颖之处在于将详细的微观结构信息与非线性校准程序整合在一起,以准确地模拟天然纤维复合材料的损伤和失效。这标志着向开发虚拟测试模型迈出了重要一步,为评估不同纤维含量或纤维类型的复合材料铺平了道路。