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Computational modeling and uncertainty prediction of hyperelastic constitutive responses of damaged brain tissue under different temperature and strain rates.
Meher, Ashish Kumar; Srinivas, A Jyotiraditya; Kumar, Vikash; Panda, Subrata Kumar.
Afiliação
  • Meher AK; Department of Mechanical Engineering, National Institute of Technology Rourkela, Rourkela, India.
  • Srinivas AJ; Department of Mechanical Engineering, National Institute of Technology Rourkela, Rourkela, India.
  • Kumar V; Department of Mechanical Engineering, National Institute of Technology Rourkela, Rourkela, India.
  • Panda SK; Department of Mechanical Engineering, National Institute of Technology Rourkela, Rourkela, India.
J Biomed Mater Res B Appl Biomater ; 112(8): e35460, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39090359
ABSTRACT
The effect of strain rate and temperature on the hyperelastic material stress-strain characteristics of the damaged porcine brain tissue is evaluated in this present work. The desired constitutive responses are obtained using the commercially available finite element (FE) tool ABAQUS, utilizing 8-noded brick elements. The model's accuracy has been verified by comparing the results from the previously published literature. Further, the stress-strain behavior of the brain tissue is evaluated by varying the damages at various strain rates and temperatures (13, 20, 27, and 37°C) under compression test. Additionally, the sensitivity analysis of the model is computed to check the effect of input parameters, that is, the temperature, strain rate, and damages on the material properties (shear modulus). The modeling and discussion sections enumerate the inclusive features and model capabilities.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Mecânico / Encéfalo / Análise de Elementos Finitos Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Mecânico / Encéfalo / Análise de Elementos Finitos Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article