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Investigation and improvement of sensitivity computation using the area-fraction weighted fixed grid FEM and structural optimization

机译:基于面积分数加权固定网格有限元法和结构优化的灵敏度计算研究与改进

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摘要

Boundary based structural optimization methods often employ a fixed grid FEM to compute sensitivities for efficiency and simplicity. A simple and popular fixed grid approach is to modify the stiffness of elements intersected by the boundary by an area-fraction weighting. However, poor sensitivities and numerical instabilities can occur when using this method. Sensitivity computation for a compliance objective is investigated and the results are used to develop a weighted least squares scheme to improve sensitivities computed by the area-fraction approach. This is implemented together with a numerically stable structural topology optimization using the level set method with no additional filtering or regularization. The performance of the proposed scheme is demonstrated by classic benchmark examples of topology optimization.
机译:基于边界的结构优化方法通常采用固定网格FEM来计算灵敏度,以实现效率和简化性。一种简单且流行的固定网格方法是通过面积分数权重来修改与边界相交的元素的刚度。但是,使用此方法时,可能会出现较差的灵敏度和数值不稳定性。研究了针对合规性目标的灵敏度计算,并将结果用于开发加权最小二乘方案,以提高通过面积分数方法计算出的灵敏度。这与使用水平集方法的数值稳定的结构拓扑优化一起实现,而无需其他滤波或正则化。拓扑优化的经典基准示例证明了该方案的性能。

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