4.2 Article

Sensitivities of medial meniscal motion and deformation to material properties of articular cartilage, meniscus and meniscal attachments using design of experiments methods

Journal

Publisher

ASME
DOI: 10.1115/1.2191077

Keywords

meniscus; finite element analysis; design of experiments; orthogonal array design; central composite design; meniscal attachments

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This study investigated the role of the material properties assumed for articular cartilage, meniscus and meniscal attachments oil the fit of a finite element model (FEM) to experimental data for meniscal motion and deformation due to an anterior tibial loading of 45 N in the anterior cruciate ligament-deficient knee. Taguchi style L18 orthogonal arrays were used to identify the most significant factors for further examination. A central composite design was then employed to develop a mathematical model for predicting the fit of the FEM to the experimental data as a function of the material properties and to identify the material property selections that optimize the fit. The cartilage was modeled as isotropic elastic material, the meniscus was modeled as transversely isotropic elastic material, and meniscal horn and the Peripheral attachments were modeled as noncompressive and nonlinear in tension spring elements. The ability of the FEM to reproduce the experimentally measured meniscal motion. and deformation was most strongly dependent oil the initial strain of the meniscal horn attachments (epsilon(1H)), the linear modulus of the meniscal peripheral attachments (E-P) and the ratio of meniscal moduli in the circumferential and transverse directions (E-theta/E-R). Our study also successfully identified values for these critical material properties (epsilon(1H)=-5%, E-P=5.6 MPa, E-theta/E-R=20) to minimize the error in the FEM analysis of experimental results. This study illustrates the most important material properties for future experimental studies, and suggests that modeling work of meniscus, while retaining transverse isotropy should also focus on the potential influence of nonlinear properties and inhomogeneity.

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