Multi-objective optimization of auxetic coronary stents based on finite element simulation and surrogate modeling.

Comput Methods Biomech Biomed Engin

College of Information Science and Technology, Donghua University, Shanghai, China.

Published: September 2025


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Article Abstract

High cost of clinical trials hinders further enhancement of comprehensive mechanical properties of bioresorbable scaffolds (BRS). Therefore, a multi-objective optimization method combining surrogate modeling and finite element simulation is proposed, based on the evaluation of stents with various auxetic structures and materials. The results demonstrated that re-entrant hexagon stent made of PLA (PLA-RH stent) was a more ideal candidate, with superior radial recoil and force. Following optimization, PLA-RH stent decreased bending stiffness by 60.12%, without compromising radial performances. This method enables more precise and efficient optimization and the proposed auxetic structure introduces innovative concepts for future design of stents.

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http://dx.doi.org/10.1080/10255842.2025.2556003DOI Listing

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