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Preconditioned Conjugate Gradient Method Enhanced by Deflation of Rigid Body Modes Applied to Composite Materials

机译:刚性体模放气增强的复合材料预处理共轭梯度法

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摘要

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.
机译:计算机X射线断层扫描的引入允许在结构力学领域中构建高质量的,基于每个元素的材料的3D网格。这些网格的使用使对复合材料(如水泥混凝土,岩石和沥青混凝土)的分析从介观分析变为微观分析。不幸的是,由于执行时间,存储空间和存储空间非常长,大多数市售的有限元软件包无法有效处理有限元求解过程中计算量最大的操作,即结构的倒置刚度矩阵。为了解决这个问题,已经开发了一种基于预处理共轭梯度法的有效迭代方法,并在此文稿中进行了介绍。结果表明,利用关于聚集体刚体模式的信息增强预处理共轭梯度方法会导致聚集体独立的收敛行为。所得的迭代次数仅受矩阵的材料行为限制。

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