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<p>This paper presents a compliant design method of a self-dilating vascular stent based on robustness meta-heuristic evolution (RME). The initial conceptual design prototype of a biodegradable vascular stent is built, comprising a concave hexagonal base structure and a bionic honeycomb shape structure. Bending stiffness and flexibility simulation are carried out to construct the relationship between design variables and compliant performance. The test points used to obtain the initial scheme are generated by the Latin Hypercube Sampling (LHS) method, which can work well in small sample conditions. The Kriging agent is employed to simplify the optimization objective function. To implement non-convex optimization, the rime ice optimization algorithm, enhanced by chaotic mapping and Cauchy variants, is explored to find the global optimum. For the multidisciplinary design issue, the multi-objective optimization (MOO) can further evolve to the Pareto-optimal solutions (POS), using non-dominated sorting method rather than simply weighting method. From the perspective of comparatively verification, more coherent&#xa0;comparisons are examined, including blood flow velocity via hemodynamics simulation, vessel displacement and stress, as well as vascular stents radial displacement with variable narrowing rates. The physical experiment with a case of Peripheral Artery Disease (PAD) in lower limb is provided. The practice indicates that robustness optimization enhances the stent’s structural performance and reliability. RME thus has the advantage of efficient optimization convergence under hybrid uncertainty, especially involving multidisciplinary structure optimization.</p>

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Compliant design of self-dilating vascular stent based on robustness meta-heuristic evolution

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • Jinghua Xu,
  • Mingzhe Tao,
  • Linxuan Wang,
  • Taryong Er,
  • Cheng Chen,
  • Yu Wang,
  • Zhenyu Dong,
  • Shuyou Zhang

摘要

This paper presents a compliant design method of a self-dilating vascular stent based on robustness meta-heuristic evolution (RME). The initial conceptual design prototype of a biodegradable vascular stent is built, comprising a concave hexagonal base structure and a bionic honeycomb shape structure. Bending stiffness and flexibility simulation are carried out to construct the relationship between design variables and compliant performance. The test points used to obtain the initial scheme are generated by the Latin Hypercube Sampling (LHS) method, which can work well in small sample conditions. The Kriging agent is employed to simplify the optimization objective function. To implement non-convex optimization, the rime ice optimization algorithm, enhanced by chaotic mapping and Cauchy variants, is explored to find the global optimum. For the multidisciplinary design issue, the multi-objective optimization (MOO) can further evolve to the Pareto-optimal solutions (POS), using non-dominated sorting method rather than simply weighting method. From the perspective of comparatively verification, more coherent comparisons are examined, including blood flow velocity via hemodynamics simulation, vessel displacement and stress, as well as vascular stents radial displacement with variable narrowing rates. The physical experiment with a case of Peripheral Artery Disease (PAD) in lower limb is provided. The practice indicates that robustness optimization enhances the stent’s structural performance and reliability. RME thus has the advantage of efficient optimization convergence under hybrid uncertainty, especially involving multidisciplinary structure optimization.