Reliability-based design algorithm for artificially replaced hip prosthesis considering material property uncertainty

DOI

10.2991/aime-18.2018.9How to use a DOI?

Keywords

material properties; reliability analysis; failure modes, artificially replaced hip prosthesis

Abstract

The material properties of living tissue are subjected to uncertainty according to several factors such as ageing, disease, nutrition ... For example; the bone is a composite structure containing organic and inorganic components. Inorganic components are essentially responsible for the compression strength and stiffness, while organic components provide the corresponding tension properties. A mathematical formulation representing the relationship between compression strength and material properties of the different bone layers is developed. This formulation is next integrated into a reliability algorithm in order to assess the reliability level of the implantbone study. This way the optimization process is executed in a non-deterministic space (iteratively changed). However, the efficiency of the proposed algorithm is demonstrated on the identification of the failure mode (scenario) in the artificially replaced hip prosthesis. It also allows us extending to multiple failure modes. The proposed algorithm reduces the computing time consumption and provides high convergence stability levels. Numerical applications are carried out in order to show the efficiency of the proposed algorithm considering several daily loading cases on a hip prosthesis.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kharmanda Ghias
AU  - Antypas Imad Rezakalla
PY  - 2018/04
DA  - 2018/04
TI  - Reliability-based design algorithm for artificially replaced hip prosthesis considering material property uncertainty
BT  - Proceedings of the International Conference "Actual Issues of Mechanical Engineering" (AIME 2018)
PB  - Atlantis Press
SP  - 44
EP  - 50
SN  - 2352-5401
UR  - https://doi.org/10.2991/aime-18.2018.9
DO  - 10.2991/aime-18.2018.9
ID  - Ghias2018/04
ER  -