In the present study, a novel defect-driven topological fatigue (TopFat) optimisation approach is proposed. The influence of defects on the fatigue strength is modelled by using the Murakami formulation to consider the defect distribution in the material. The fatigue strength is taken into consideration by introducing a stress constraint in the minimum compliance topology optimisation problem in addition to the von Mises stress and volume constraints. The algorithm has been effectively validated on several literature cases, providing optimized topologies with maximised stiffness under the prescribed quasi-static and fatigue strength requirements.

中文翻译：

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基于材料缺陷分布和TopFat算法的拓扑疲劳优化创新配方

在本研究中，提出了一种新的缺陷驱动的拓扑疲劳（TopFat）优化方法。通过使用村上公式考虑材料中的缺陷分布，可以模拟缺陷对疲劳强度的影响。通过在von Mises应力和体积约束之外的最小顺应性拓扑优化问题中引入应力约束来考虑疲劳强度。该算法已在几种文献案例中得到了有效验证，可在规定的准静态和疲劳强度要求下提供具有最大刚度的优化拓扑。