{"title":"Anisotropic material properties of human left common carotid artery using inverse finite element and analytical methods","authors":"Mohammad Behzady, H. Mohammadi, M. Farid","doi":"10.1109/ICBME.2018.8703571","DOIUrl":null,"url":null,"abstract":"The focus of this study is to obtain the material properties of human common carotid artery (CCA). A hyper-elastic strain energy model is used to predict mechanical behavior of arterial wall from an inflation/deflation test on the human CCA intact wall. For this purpose, two methods are used in order to identify arterial material parameters: analytical and inverse finite element method. An optimization algorithm, based on aforementioned methods, is employed to find optimal parameters that have the best fitness with experimental data. The final outcome of the present study is to compare the reliability of aforementioned methods to identify material properties of modeling human CCA in FE problems.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBME.2018.8703571","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
The focus of this study is to obtain the material properties of human common carotid artery (CCA). A hyper-elastic strain energy model is used to predict mechanical behavior of arterial wall from an inflation/deflation test on the human CCA intact wall. For this purpose, two methods are used in order to identify arterial material parameters: analytical and inverse finite element method. An optimization algorithm, based on aforementioned methods, is employed to find optimal parameters that have the best fitness with experimental data. The final outcome of the present study is to compare the reliability of aforementioned methods to identify material properties of modeling human CCA in FE problems.