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The importance of femur/acetabulum cartilage in the biomechanics of the intact hip: experimental and numerical assessment

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  • R.J. Duarte
  • A. Ramos
  • A. Completo
  • C. Relvas
  • J.A. Simões

Abstract

Experimental studies have been made to study and validate the biomechanics of the pair femur/acetabulum considering both structures without the presence of cartilage. The main goal of this study was to validate a numerical model of the intact hip. Numerical and experimental models of the hip joint were developed with respect to the anatomical restrictions. Both iliac and femur bones were replicated based on composite replicas. Additionally, a thin layer of silicon rubber was used for the cartilage. A three-dimensional finite element model was developed and the boundary conditions of the models were applied according to the natural physiological constrains of the joint. The loads used in both models were used just for comparison purposes. The biomechanical behaviour of the models was assessed considering the maximum and minimum principal bone strains and von Mises stress. We analysed specific biomechanical parameters in the interior of the acetabular cavity and on femur's surface head to determine the role of the cartilage of the hip joint within the load transfer mechanism. The results of the study show that the stress observed in acetabular cavity was 8.3 to 9.2 MPa. When the cartilage is considered in the joint model, the absolute values of the maximum and minimum peak strains on the femur's head surface decrease simultaneously, and the strains are more uniformly distributed on both femur and iliac surfaces. With cartilage, the cortex strains increase in the medial side of the femur. We prove that finite element models of the intact hip joint can faithfully reproduce experimental models with a small difference of 7%.

Suggested Citation

  • R.J. Duarte & A. Ramos & A. Completo & C. Relvas & J.A. Simões, 2015. "The importance of femur/acetabulum cartilage in the biomechanics of the intact hip: experimental and numerical assessment," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(8), pages 880-889, June.
    • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:8:p:880-889
    DOI: 10.1080/10255842.2013.854335
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    References listed on IDEAS

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    1. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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