A novel method for concurrent dynamic topology optimization of hierarchical hybrid structures

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Yunfei Liu , Ruxin Gao , Ying Li
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引用次数: 0

Abstract

This paper proposes a feature-decoupled method for concurrent dynamic topology optimization of the Hierarchical Hybrid Structure (HHS) to minimize the steady-state dynamic response. First, a novel single-variable uniform multiphase material interpolation model is established based on the Gaussian function and normalization method, which achieves the decoupled description of the macroscopic topology, substructure topology, and the spatial distribution of the substructures for HHS. Second, by combining the extended multiscale finite element method (EMsFEM), which overcomes the limitations of the scale separation assumption and periodic boundary conditions in HHS response analysis, a concurrent dynamic topology optimization mathematical formulation for HHS is constructed. Finally, the sensitivity scheme is established based on the adjoint method, and the MMA algorithm was employed to update the model. Numerical examples verify the correctness and feasibility of the proposed method, demonstrate its advantages in solving HHS concurrent topology optimization problem compared to traditional methods, and explore the impact of the number of substructure types on the optimization results of HHS.
分层混合结构并发动态拓扑优化新方法
本文提出了一种用于分层混合结构(HHS)并发动态拓扑优化的特征解耦方法,以最小化稳态动态响应。首先,建立了基于高斯函数和归一化方法的新型单变量均匀多相材料插值模型,实现了对 HHS 的宏观拓扑、子结构拓扑和子结构空间分布的解耦描述。其次,结合扩展多尺度有限元法(EMsFEM),克服了 HHS 响应分析中尺度分离假设和周期边界条件的限制,构建了 HHS 的并行动态拓扑优化数学模型。最后,基于邻接法建立了灵敏度方案,并采用 MMA 算法更新模型。数值实例验证了所提方法的正确性和可行性,展示了其在解决 HHS 并发拓扑优化问题上与传统方法相比的优势,并探讨了子结构类型数量对 HHS 优化结果的影响。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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