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Multi-objective reliability based design optimization using Kriging surrogate model for cementless hip prosthesis

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  • Khalil Dammak
  • Abdelkhalak El Hami

Abstract

Design optimization for cementless hip prosthesis signifies one of the key topics of research to improve its performances. However, majority of the studies have not considered the presence of uncertainties while it has been shown that a deterministic optimization leads to an unreliable design. In this paper, a multi-objective reliability-based design optimization (MORBDO) procedure is proposed for cementless hip prosthesis design. The proposed methodology consists in combining the finite element simulation (FES), surrogating techniques and optimization procedure. The constructed meta-models are validated and compared using different measures such as error predictions and cross-validation (CV). The results show that the constrained non-dominated sorting genetic algorithm (C-NSGA-II) coupled with the hybrid method (HM) was capable to generate well-distributed reliable Pareto solutions.

Suggested Citation

  • Khalil Dammak & Abdelkhalak El Hami, 2020. "Multi-objective reliability based design optimization using Kriging surrogate model for cementless hip prosthesis," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(12), pages 854-867, September.
    • Handle: RePEc:taf:gcmbxx:v:23:y:2020:i:12:p:854-867
    DOI: 10.1080/10255842.2020.1768247
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    Cited by:

    1. Baklouti, Ahmad & Dammak, Khalil & El Hami, Abdelkhalak, 2022. "Optimum reliable design of rolling element bearings using multi-objective optimization based on C-NSGA-II," Reliability Engineering and System Safety, Elsevier, vol. 223(C).

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