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

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.

Keywords:

• Hip prosthesis
• MORBDO
• C-NSGA-II
• surrogate models
• pareto optimal front

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

These results have been developed in the frame of the project XTERM, which has been funded with the support from the European Union with the European Regional Development Fund (ERDF) and from the Normandie Region.