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基于高导热性能微结构的等几何拓扑优化

Isogeometric Topology Optimization Based on Microstructures with High Thermal Conductivity

  • 摘要: 针对多尺度拓扑优化难以实现非规则设计域的结构设计等问题,提出一种基于高导热性能微结构的等几何拓扑优化方法.在微观尺度,针对多尺度拓扑优化中常用的微结构优化其导热性能,并通过调整导热系数权重预先设计出具有更优导热性能的结构,在保证较高设计自由度的同时降低计算成本;在宏观尺度,以最小热柔度为优化目标构建基于优化后微结构的等几何拓扑优化数学描述模型,结合灵敏度分析方案更新宏观设计变量得到最终多尺度结构,在等几何分析中精确模型的基础上提高计算精度,保证最终多尺度结构单元间的高阶连续性.经典矩形和二维/三维半圆环散热结构的优化结果表明,所提方法可得到导热柔度最大降低7.97%的多尺度结构,有效地提高其导热性能;适用于非规则结构的不同边界条件,对复杂设计域的导热拓扑优化设计具有较好的通用性.

     

    Abstract: Aiming at the difficulty of multiscale topology optimization to achieve the structural design in irregular design domains, an isogeometric topology optimization method based on microstructures with high thermal conductivity is proposed. At the microscale, the thermal conductivity of commonly used microstructures in multiscale topology optimization was optimized. By adjusting the thermal conductivity weighting coefficients, the structures with better thermal conductivity could be pre-designed, which ensured a high degree of design freedom and reduced the computational cost. At the macroscale, the mathematical model of isogeometric topology optimization based on the optimized microstructure was constructed with the optimization objective of minimum thermal compliance. The final multiscale structure was obtained by updating the macro design variables with the sensitivity analysis scheme. Based on the accurate model in isogeometric analysis, the computational accuracy was improved and the high-order continuity between the elements of the final multiscale structure was achieved. The optimization results of classical rectangular and 2D/3D half annulus heat dissipation structures show that the proposed method can obtain the multiscale structure with a maximum reduction of 7.97% in thermal compliance, which effectively improves thermal conductivity. In addition, the proposed method is applied to irregular structures with different boundary conditions, which demonstrates the applicability in optimizing the thermal topology of complex design domains.

     

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