排序方式: 共有7条查询结果,搜索用时 15 毫秒
1
1.
快速多极边界元法在薄板结构中的应用 总被引:2,自引:0,他引:2
基于Taylor级数多极展开研究了边界元快速多极算法(FM—BEM),并将它应用于薄板结构。算例分析表明FM—BEM的计算时间和存储空间明显少于常规边界元迭代解法。随着问题规模的增大,这种优势将更加突出。 相似文献
2.
The Taylor series numerical method (TSNM) is a time integration method for solving problems in structural dynamics. In this paper, a detailed analysis of the stability behavior and accuracy characteristics of this method is given. It is proven by a spectral decomposition method that TSNM is conditionally stable and belongs to the category of explicit time integration methods. By a similar analysis, the characteristic indicators of time integration methods, the percentage period elongation and the amplitude decay of TSNM, are derived in a closed form. The analysis plays an important role in implementing a procedure for automatic searching and finding convergence radii of TSNM. Finally, a linear single degree of freedom undamped system is analyzed to test the properties of the method. 相似文献
3.
结构动力分析中时间积分方法进展 总被引:2,自引:1,他引:1
叙述了结构动力分析中时间积分方法的最新发展情况,对这一领域的基本原理和思想进行了总结,重点介绍一些新型计算方法的基本性质,为时间积分方法的进一步研究奠定基础。 相似文献
4.
针对弹簧优化设计中理论公式设计局限性大和有限元方法对多变量和多约束的优化设计效率低的问题,提出了一种考虑横截面形状和几何尺寸的弹簧优化的两步式策略。该策略利用密圈弹簧的理论计算公式结合多起点搜索方法对弹簧几何尺寸进行优化;采用有限元方法建立可以考虑截面形状变化的弹簧模型,用几何尺寸最优解为初值,采用零阶方法同时对截面形状和几何尺寸进行优化获得最优解。仿真结果表明:两步式策略能同时考虑横截面形状和几何尺寸进行弹簧优化设计,拓展了弹簧的设计范围;通过将两步式的优化策略结果与直接进行基于有限元方法的优化结果相比发现,优化时间减少了55.86%,两步式策略效率较高,降低了有限元优化的迭代次数;优化目标提高了14.31%,改善了出现局部最优解的情况。 相似文献
5.
Fast Multipole BEM for 3-D Elastostatic Problems with Applications for Thin Structures 总被引:6,自引:0,他引:6
The fast multipole method (FMM) has been used to reduce the computing operations and memory requirements in large numerical analysis problems. In this paper, the FMM based on Taylor expansions is combined with the boundary element method (BEM) for three-dimensional elastostatic problems to solve thin plate and shell structures. The fast multipole boundary element method (FM-BEM)requires O(N) operations and memory for problems with N unknowns. The numerical results indicate that for the analysis of thin structures, the FM-BEM is much more efficient than the conventional BEM and the accuracy achieved is sufficient for engineering applications. 相似文献
6.
7.
1