【摘要】 提出了在多重子结构分析中利用子空间迭代计算超大型结构特征值和特征向量的一种方法。该方法的计算结果既不受复杂子结构划分方式的限制,又不受包括旋转、镜射和平移的子结构多重几何调用组装方式的影响,与不作凝聚的单一整体结构分析具有相同的计算精度。该方法对于解超大型复杂结构的特征值问题十分有效,数值算例表明了该方法的可靠性及其在工程应用中的极佳效果。更多还原

【Abstract】 For very large scale structures, a multi-level-substructuring-based subspace iteration strategy for eigenvalue extraction is proposed. The computational results of proposed method is independent of the substructure partitioning and assemblage order which may include some arbitrary combinations of the rotation, shifting or reflection of various substructure modules. Theoretically, it is an exact method. It has been shown to be very efficient through some practical application to large-scale complex structures. Two examples are given to show its excellent performance.更多还原