模糊参数平面连续体结构的拓扑优化设计

TOPOLOGY OPTIMIZATION DESIGN OF PLANAR CONTINUUM STRUCTURE WITH FUZZY PARAMETERS

  • 摘要: 研究了具有模糊参数的连续体结构在模糊载荷作用下的拓扑优化设计问题。利用信息熵将模糊变量转换为随机变量,构建了随机载荷作用下的随机参数的连续体结构的拓扑优化设计数学模型,以结构的形状拓扑信息为设计变量,结构总质量均值极小化为目标函数,满足单元应力可靠性为约束条件,利用分布函数法对应力可靠性约束进行了等价显式化处理。基于随机因子法,利用代数综合法导出了应力响应的数字特征的计算表达式。采用双方向渐进结构优化(BESO)方法求解。通过两个算例验证了该文模型及求解方法的合理性和有效性。

     

    Abstract: Topology optimization design of planar continuum structure with fuzzy parameters under fuzzy loads is discussed. Fuzzy variables are transformed into random variables by information entropy. Mathematical model of topology optimization of continuum structures with random parameters under random loads is established. The topology optimization model is constructed based on probability, where the stress constraints are transformed into equivalent normal constraints, while the structural weight is to be minimized and the elemental design variables for the structural topology description are considered. The computational expressions of numerical characteristics of stress responses based on random factor method are presented. Bi-directional evolutionary structural optimization method is used in the optimization. Two examples have been used to illustrate the feasibility and effectiveness of the optimal model and the proposed method.

     

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