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This paper proposes a topology optimization method under a multi-framework approach that allows for human intervention.The objective is to leverage the rich experience and expertise of designers to dynamically adjust and control the optimization process, thereby yielding faster and more practical design solutions.To achieve this aim, an interaction strategy is developed between the Solid Isotropic Material with Penalization (SIMP) method, which employs an implicit geometric description, and the Moving Morphable Components/Voids (MMC/MMV) approach, characterized by an explicit geometric representation.Proposed method incorporates structural components into the pixel-based SIMP method, enabling intuitive control over the topology and geometric parameters of a structure.Through direct manipulation of these structural components, designers can add or adjust critical components, remove or modify redundant components, improving structural performance.Human intervention facilitates a richer and more diverse range of design options to meet specific application scenarios and performance criteria.The interaction across multiple methods also allows the direct importation of SIMP-based optimization results into Computer-Aided Design (CAD) software, enhancing design flexibility and convenience.The effectiveness of the proposed method is validated through multiple standard examples.
Zhuang et al. (Mon,) studied this question.