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Some Recent Advances in Wavelet Boundary Element Method

机译:小波边界元方法的一些新进展

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Wavelet boundary element method (BEM), as one of the powerful fast BEMs, has attracted much attention in recent years. However, the conventional wavelet BEM needs the patch-wise parameterization of boundary as well as information about the topological connectedness of the patches, thus its efficiency in treating problems with complicate boundaries is limited. T-wavelet BEM, which was proposed in [1], overcomes this drawback by constructing boundary wavelets directly on the usual boundary element partitions, and has shown great potential in dealing with large-scale problems with complex geometries. This paper presents some recent achievements on T-wavelet BEM in our group, mainly including the T-wavelet with quasi-vanishing moments and the a-posteriori compression for the non-standard form. The former can largely reduce both the computational time and memory requirements of T-wavelet BEM, and the latter can further reduce the memory requirement for saving the system matrix. The performance of the improved method is comfirmed by large-scale numerical examples involving complex geometries. To show the efficiency of the method, we compare the memory requirement of the compressed non-standard form with the near-field matrix of a fast multipole BEM transformed from the T-wavelet BEM [2]. We find that the a-posteriori compression reduces the memory usage of the non-standard form to be even lower than for the fast multipole BEM.
机译:小波边界元方法(BEM)作为一种强大的快速BEM方法,近年来受到了广泛的关注。但是,传统的小波边界元方法需要边界的逐块参数化以及有关块的拓扑连接性的信息,因此,其在处理复杂边界问题中的效率受到限制。在[1]中提出的T-小波边界元法克服了这个缺点,直接在通常的边界单元分区上构造了边界小波,在处理具有复杂几何形状的大规模问题方面显示出了巨大的潜力。本文介绍了我们小组在T小波BEM方面的最新成果,主要包括具有准消失矩的T小波和非标准形式的后验压缩。前者可以大大减少T小波BEM的计算时间和内存需求,而后者可以进一步减少用于保存系统矩阵的内存需求。改进方法的性能通过涉及复杂几何形状的大规模数值示例得到了证实。为了显示该方法的有效性,我们将压缩的非标准形式的内存需求与从T小波BEM转换的快速多极BEM的近场矩阵进行了比较[2]。我们发现,后向压缩将非标准形式的内存使用量降低到比快速多极BEM更低。

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