Jingui Zhao , Guirong Liu , Jinhui Zhao , Gang Wang , Zhonghu Wang , Zirui Li
{"title":"基于光滑有限元法的生物结构模态分析","authors":"Jingui Zhao , Guirong Liu , Jinhui Zhao , Gang Wang , Zhonghu Wang , Zirui Li","doi":"10.1016/j.camwa.2025.05.006","DOIUrl":null,"url":null,"abstract":"<div><div>The smoothed finite element model exhibits a \"softening effect,\" resulting in reduced stiffness compared to the standard finite element model. This study employs the smoothed finite element methods (S-FEMs) with automatically generated tetrahedral meshes to perform modal analysis of biological structures subjected to arbitrary dynamic forces. Various S-FEM models are developed, including Edge-based, Face-based, and Node-based cross-element smoothing domains within the tetrahedral mesh framework, referred to as ES/FS/NS-FEM-T4. Using the gradient smoothing technique, the process of obtaining the strain-displacement matrix requires only the value of the shape function, not the inverse of the shape function, and no mapping is required. Additionally, by incorporating a Taylor expansion term for the strain gradient within the node-based smoothing domain framework, we introduce a stable node-based smoothed finite element method (SNS-FEM). Furthermore, the Lanczos algorithm and the modal superposition technique are integrated into our S-FEM models to compute the transient response of bone structures within the human body. The results obtained from S-FEMs are evaluated against the standard finite element method with respect to accuracy, convergence, and computational efficiency.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"191 ","pages":"Pages 188-227"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modal analysis of biological structures based on the smoothed finite element methods\",\"authors\":\"Jingui Zhao , Guirong Liu , Jinhui Zhao , Gang Wang , Zhonghu Wang , Zirui Li\",\"doi\":\"10.1016/j.camwa.2025.05.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The smoothed finite element model exhibits a \\\"softening effect,\\\" resulting in reduced stiffness compared to the standard finite element model. This study employs the smoothed finite element methods (S-FEMs) with automatically generated tetrahedral meshes to perform modal analysis of biological structures subjected to arbitrary dynamic forces. Various S-FEM models are developed, including Edge-based, Face-based, and Node-based cross-element smoothing domains within the tetrahedral mesh framework, referred to as ES/FS/NS-FEM-T4. Using the gradient smoothing technique, the process of obtaining the strain-displacement matrix requires only the value of the shape function, not the inverse of the shape function, and no mapping is required. Additionally, by incorporating a Taylor expansion term for the strain gradient within the node-based smoothing domain framework, we introduce a stable node-based smoothed finite element method (SNS-FEM). Furthermore, the Lanczos algorithm and the modal superposition technique are integrated into our S-FEM models to compute the transient response of bone structures within the human body. The results obtained from S-FEMs are evaluated against the standard finite element method with respect to accuracy, convergence, and computational efficiency.</div></div>\",\"PeriodicalId\":55218,\"journal\":{\"name\":\"Computers & Mathematics with Applications\",\"volume\":\"191 \",\"pages\":\"Pages 188-227\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Mathematics with Applications\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0898122125002020\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122125002020","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Modal analysis of biological structures based on the smoothed finite element methods
The smoothed finite element model exhibits a "softening effect," resulting in reduced stiffness compared to the standard finite element model. This study employs the smoothed finite element methods (S-FEMs) with automatically generated tetrahedral meshes to perform modal analysis of biological structures subjected to arbitrary dynamic forces. Various S-FEM models are developed, including Edge-based, Face-based, and Node-based cross-element smoothing domains within the tetrahedral mesh framework, referred to as ES/FS/NS-FEM-T4. Using the gradient smoothing technique, the process of obtaining the strain-displacement matrix requires only the value of the shape function, not the inverse of the shape function, and no mapping is required. Additionally, by incorporating a Taylor expansion term for the strain gradient within the node-based smoothing domain framework, we introduce a stable node-based smoothed finite element method (SNS-FEM). Furthermore, the Lanczos algorithm and the modal superposition technique are integrated into our S-FEM models to compute the transient response of bone structures within the human body. The results obtained from S-FEMs are evaluated against the standard finite element method with respect to accuracy, convergence, and computational efficiency.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).