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The gradient projection method for structural topology optimization including density-dependent force

机译:包含密度依赖力的结构拓扑优化梯度投影方法

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This paper proposes a modified gradient projection method (GPM) that can solve the structural topology optimization problem including density-dependent force efficiently. The particular difficulty of the considered problem is the non-monotonicity of the objective function and consequently the optimization problem is not definitely constrained. Transformation of variables technique is used to eliminate the constraints of the design variables, and thus the volume is the only possible constraint. The negative gradient of the objective function is adopted as the most promising search direction when the point is inside the feasible domain, while the projected negative gradient is used instead on condition that the point is on the hypersurface of the constraint. A rational step size is given via a self-adjustment mechanism that ensures the step size is a good compromising between efficiency and reliability. Furthermore, some image processing techniques are employed to improve the layouts. Numerical examples with different prescribed volume fractions and different load ratios are tested respectively to illustrate the characteristics of the topology optimization with density-dependent load.
机译:本文提出了一种改进的梯度投影法(GPM),可以有效解决包括密度依赖力在内的结构拓扑优化问题。所考虑的问题的特殊困难是目标函数的非单调性,因此优化问题不一定受到约束。变量转换技术用于消除设计变量的约束,因此,体积是唯一可能的约束。当点在可行域内时,目标函数的负梯度被用作最有希望的搜索方向,而当点位于约束的超曲面上时,则使用投影负梯度代替。合理的步长通过自我调整机制给出,以确保步长在效率和可靠性之间取得良好的折衷。此外,一些图像处理技术被用来改善布局。分别测试了具有不同规定体积分数和不同负载比的数值示例,以说明密度依赖负载的拓扑优化的特征。

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