Li, Zeyang, Huang, Xuanxuan, Yuan, Hang, Wu, Zhangming ORCID: https://orcid.org/0000-0001-7100-3282 and Ding, Ziyun
2026.
Robust optimization of anisotropic porous hip implants for stress-shielding mitigation.
International Journal of Mechanical Sciences
325
, 111852.
10.1016/j.ijmecsci.2026.111852
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Abstract
Stress shielding after total hip arthroplasty (THA) is driven by the stiffness mismatch between femoral stems and surrounding bone, which can promote bone resorption and compromise long-term fixation. Porous stems can reduce global stiffness, but many existing designs mainly tune density and provide limited control over directional stiffness, bone-remodeling response, and surgical variability. Here, we present a robust optimization framework for anisotropic porous hip implants based on Varied-shape Voronoi Tessellation (VSVT). The framework assigns programmable relative density, anisotropy ratio, and material orientation, and couples structural compliance with a bone-remodeling objective under uncertainty in the caput-collum-diaphyseal (CCD) angle. In the numerical femur-implant model, the anisotropic robust optimization maintained a comparable expected compliance to the conventional compliance-based baseline, while reducing the expected normalized bone-remodeling mass by 98.9%, from 87.8 to 1.0. Under CCD-angle uncertainty, the same design narrowed the 95% confidence interval of remodeling mass from [75.6, 100.2] to [0.0, 5.8], indicating substantially improved robustness against surgical-angle variation. These results show that programmable anisotropy and robustness control can be integrated into a single porous-implant design workflow, providing a mechanics-based reference for industrial implant design and future clinical translation.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Publisher: | Elsevier BV |
| ISSN: | 0020-7403 |
| Date of First Compliant Deposit: | 6 July 2026 |
| Date of Acceptance: | 22 June 2026 |
| Last Modified: | 06 Jul 2026 13:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/187930 |
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