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The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

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Efficient System Reliability-Based Design Optimization Study for Replaced Hip Prosthesis Using New Optimized

Ghais Kharmanda¹, Samer Gowid², Elsadig Mahdi²

¹Mechanics Laboratory of Normandy, INSA Rouen, 76801 St Etienne du Rouvray, France.

Materials (Basel, Switzerland)

|January 17, 2020

Summary

This study introduces an efficient algorithm to simplify complex reliability problems for hip implants. It accounts for bone property changes after surgery, improving prosthesis design and safety.

Keywords:

bone material properties hip prosthesis reliability-based design optimization structural reliability

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Area of Science:

Biomedical Engineering
Materials Science
Mechanical Engineering

Background:

Femoral bone density and mechanical properties change post-hip arthroplasty.
Accurate modeling of bone anisotropy (transversal isotropy) is crucial for prosthesis design.
Existing methods may not fully capture material uncertainties and property variations.

Purpose of the Study:

To develop an efficient reliability algorithm for hip prosthesis design.
To integrate material uncertainties and bone property changes into the design process.
To introduce a reliability-based design optimization (RBDO) approach for enhanced implant safety.

Main Methods:

Developed an algorithm to reduce system reliability problems to single-component problems.
Formulated optimized relationships between yield stress and elasticity modulus.
Integrated these formulations into an RBDO algorithm using optimum safety factors (OSF).
Conducted numerical analysis on a cementless hip prosthesis under various loading conditions.

Main Results:

The proposed RBDO algorithm effectively controls the reliability level of hip prostheses.
The algorithm accounts for material uncertainties and bone property variations.
New stem dimensions were determined, optimizing safety factors.
Demonstrated the algorithm's appropriateness compared to previous approaches.

Conclusions:

The developed algorithm provides an efficient method for reliability analysis in hip prosthesis design.
The RBDO approach enhances the control over implant reliability by considering material uncertainties.
The model is suitable for designs involving changes in both geometry and material properties.