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采用双向结构渐进优化方法(BESO)研究斗轮轮体结构优化问题,获得了较清晰的结果。斗轮轮体为典型的循环对称结构,其几何特征导致其无法划分为均匀一致的网格,造成单元灵敏度与单元体积直接相关,优化结果具有体积依赖性,无法获得正确的结果。针对这一情况,并以单元灵敏度密度为依据进行双向结构渐进优化,在其中采用灵敏度密度过滤方法抑制棋盘格的产生,使用EPCM方法实现单元增删。结果表明,该方法在工程实际上有很大的灵活性和实用性。
The structure optimization of bucket wheel and wheel was studied by the method of two-way progressive optimization (BESO), and the clearer result was obtained. The bucket wheel body is a typical cyclical symmetry structure. The geometric characteristics of the bucket wheel body can not be divided into uniform grids. The sensitivity of the unit is directly related to the cell volume. The optimization results are volume-dependent and can not obtain correct results. In view of this situation, the bi-directional structure optimization is based on the cell sensitivity density, in which the sensitivity density filter method is used to suppress the checkerboard generation, and the cell addition and deletion is implemented by the EPCM method. The results show that this method has great flexibility and practicability in engineering.