Preconditioned conjugate gradient method enhanced by deflation of rigid body modes applied to composite materials.

T. B. Jnsthvel, M. B. Gijzen, C. Vuik, C. Kasbergen, A. Scarpas
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引用次数: 17

Abstract

The introduction of computed x-ray tomography allows for the construction of high quality, material-per-element based 3D meshes in the field of structural mechanics. The use of these meshes enables a shift from meso to micro scale analysis of composite materials like cement concrete, rocks and asphalt concrete. Unfortunately, because of the extremely long execution time, memory and storage space demands, the majority of commercially available finite element packages are not capable of handling efficiently the most computationally demanding operation of the finite element solution process, that is, the inversion of the structural stiffness matrix. To address this issue, an efficient iterative method based upon the preconditioned conjugate gradient method has been developed and is presented in this contribution. It is shown that enhancement of the preconditioned conjugate gradient method with information about the rigid body modes of the aggregates results in an aggregate independent convergence behavior. The resulting number of iterations is bounded by the material behavior of the matrix only.
应用于复合材料的刚体模态压缩增强的预条件共轭梯度法。
计算机x射线断层扫描的引入允许在结构力学领域构建高质量的、基于材料单元的3D网格。使用这些网格可以从中观到微观尺度的复合材料分析,如水泥混凝土、岩石和沥青混凝土。不幸的是,由于极长的执行时间,内存和存储空间的需求,大多数市售的有限元软件包不能有效地处理计算要求最高的有限元求解过程的操作,即结构刚度矩阵的反演。为了解决这一问题,本文提出了一种基于预条件共轭梯度法的高效迭代方法。研究结果表明,利用集合体刚体模态信息对预条件共轭梯度法进行增强,可以得到与集合体无关的收敛行为。所得到的迭代次数仅受矩阵的材料行为的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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