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Stress constrained topology optimization with free-form design domains

机译:自由形式设计域的应力约束拓扑优化

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This paper aims at dealing with realistic and challenging design problems of stress constrained topology optimization with freeform design domains. First, the concept of level set function (LSF) based modelers is introduced to transform this kind of problems into the Boolean conjunction operation of a topology variation modeler (TVM) onto a free-form design domain modeler (FDDM). Such an operation is mathematically realized by means of the so-called R-functions in the form of implicit LSFs. Within this framework, topology optimization problems are classified into two general cases depending upon the existence of non-designable solid feature. Analytical sensitivity analysis formulas are further derived. Compared with the existing level set based method, the important sensitivity property of design domain preserving makes it possible to avoid automatically the boundary violation of the design domain caused by the zero level set movement and both the topology and boundary shape of the free-form design domain can be simultaneously optimized. Second, the implementation of the finite cell method (FCM) ensures the stress computing accuracy in the fixed mesh due to the use of high-order shape functions and adaptive integration scheme. The combination of the active-set strategy and the dynamic aggregation technique also reduces the number of local stress constraints greatly. Finally, representative examples are presented to illustrate the conveniences and effectiveness of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文旨在解决具有自由形式设计域的应力约束拓扑优化的现实和挑战性设计问题。首先,引入了基于水平集函数(LSF)的建模器的概念,以将此类问题转换为拓扑变化建模器(TVM)到自由形式设计域建模器(FDDM)的布尔联合运算。通过隐式LSF形式的所谓R函数在数学上实现这种操作。在此框架内,根据存在不可设计的实体特征,将拓扑优化问题分为两种一般情况。进一步推导了分析灵敏度分析公式。与现有的基于水平集的方法相比,保留设计域的重要灵敏度属性可以自动避免由于零水平集移动以及自由形式设计的拓扑和边界形状而导致的设计域边界违反域可以同时优化。其次,由于使用了高阶形状函数和自适应积分方案,有限元方法(FCM)的实现可确保固定网格中的应力计算精度。主动集策略和动态聚合技术的组合也大大减少了局部应力约束的数量。最后,给出了代表性的例子来说明所提方法的便利性和有效性。 (C)2015 Elsevier B.V.保留所有权利。

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