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Development and experimental validation of a dynamic numerical model for human articular cartilage.
Mellors, Ben; Allen, Piers; Lavecchia, Carolina E; Mountcastle, Sophie; Cooke, Megan E; Lawless, Bernard M; Cox, Sophie C; Jones, Simon; Espino, Daniel M.
Afiliación
  • Mellors B; Physical Sciences for Health CDT, Department of Chemistry, University of Birmingham, Birmingham, UK.
  • Allen P; Physical Sciences for Health CDT, Department of Chemistry, University of Birmingham, Birmingham, UK.
  • Lavecchia CE; Department of Mechanical Engineering, University of Birmingham, Birmingham, UK.
  • Mountcastle S; Physical Sciences for Health CDT, Department of Chemistry, University of Birmingham, Birmingham, UK.
  • Cooke ME; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
  • Lawless BM; Department of Mechanical Engineering, University of Birmingham, Birmingham, UK.
  • Cox SC; School of Chemical Engineering, University of Birmingham, Birmingham, UK.
  • Jones S; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
  • Espino DM; Department of Mechanical Engineering, University of Birmingham, Birmingham, UK.
Proc Inst Mech Eng H ; 237(7): 879-889, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37345411
ABSTRACT
The purpose of this study was to create a preliminary set of experimentally validated Finite Element Analysis (FEA) models, in order to predict the dynamic mechanical behaviour of human articular cartilage (AC). Current models consider static loading with limited independent experimental validation, while the models for this study assess dynamic loading of AC, with direct comparison and validation to physical testing. Three different FEA models of AC were constructed, which considered both linear elastic and hyperelastic models; Neo-Hookean and Ogden. Models were validated using the data collected from compression testing of human femoral heads across 0-1.7 MPa (quasi-static tests and dynamic mechanical analysis). The linear elastic model was inadequate, with a 10-fold over prediction of the displacement dynamic amplitude. The Neo-Hookean model accurately predicted the dynamic amplitude but failed to predict the initial compression of the cartilage, with a 10 times overprediction. The Ogden model provided the best results, with both the initial compression lying within one standard deviation of that observed in the validation data set, and the dynamic amplitude of the same order of magnitude. In conclusion, this study has found that the fast dynamic response of human AC is best represented by a third order Ogden model.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cartílago Articular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Inst Mech Eng H Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cartílago Articular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Inst Mech Eng H Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido