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An efficient structural topological optimization method for continuum structures with multiple displacement constraints

机译:一种具有多位移约束的连续体结构的有效结构拓扑优化方法

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An efficient structural topological optimization method is proposed in this paper to obtain a well defined final design with multi-displacement constraints. In the proposed method, the whole optimization process is divided into two optimization phases and a phase transferring step. An optimization model is developed to deal with the varied displacement limits, design space adjustments, and reasonable relations between any element stiffness matrix, weight and its element topology variable. A procedure is then proposed to solve the optimization problem formulated in the first optimization phase. The design space is automatically adjusted when the design domain needs expansions. The final topology obtained by the proposed procedure in the first optimization phase can get close to the vicinity of the optimum topology. Another algorithm, in which element hard kills are incorporated, is given to improve the optimization efficiency and make the designed topology black/white in both the phase transferring step and the second optimization phase. Topology variable history information and a quadratic programming algorithm are adopted to reduce the number of heuristic parameters in this algorithm. The optimum topology can be easily obtained by the second phase optimization adjustments. Two examples are presented to show that the topologies obtained by the proposed method are of very good 0/1 design, and the computational efficiency is enhanced by reducing the element number of the design structural finite model in two optimization phases. And the examples also show that this method is robust and practicable.
机译:本文提出了一种有效的结构拓扑优化方法,以获得具有多位移约束的良好定义的最终设计。在提出的方法中,整个优化过程分为两个优化阶段和一个阶段转移步骤。开发了一个优化模型来处理变化的位移极限,设计空间调整以及任何单元刚度矩阵,权重及其单元拓扑变量之间的合理关系。然后提出一个程序来解决在第一优化阶段中提出的优化问题。当设计领域需要扩展时,将自动调整设计空间。通过提议的过程在第一优化阶段中获得的最终拓扑可以接近最佳拓扑。为了提高优化效率,并在相转移步骤和第二优化阶段中使设计的拓扑变为黑色/白色,给出了引入元素硬终止的另一种算法。为了减少启发式参数的数量,采用了拓扑变量历史信息和二次规划算法。通过第二阶段优化调整可以轻松获得最佳拓扑。给出两个例子,表明所提方法获得的拓扑具有很好的0/1设计,并且通过在两个优化阶段减少设计结构有限模型的元素数量来提高计算效率。实例还表明该方法是鲁棒的和实用的。

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