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Solution of Sparse Linear Systems with the Software Package LIS for Meso-scale Finite Element Simulation of Concrete Fractures

机译:稀疏线性系统的解决方案与软件包LIS,用于混凝土骨折的中间尺度有限元模拟

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Meso-scale simulation of concrete with finite elements is very time consuming, in which solution of the related linear systems occupies most of the time. In this paper, the software package LIS, which is designed to solve sparse linear systems and sparse linear eigenvalue problems in parallel, is adopted to accelerate the simulation. The flexural fracture of wet-sieved and three-graded concrete beams is simulated. For the linear systems considered are all symmetric positive definite, the preconditioned conjugate gradient is used all the time. And five symmetric preconditioners including ILU(0), ILU(1), SSOR, SAINV, and SAAMG are tested. The results show that, though the number of iterations with the smoothed aggregation based algebraic multigrid preconditioner SAAMG is less than that with the others, the average solution time is longer than that with the simple preconditioners ILU(O) and SSOR, and its efficiency is closely related to the selection of parameters.
机译:具有有限元的混凝土的中音级仿真非常耗时,其中相关线性系统的解决方案大部分时间占据了大部分时间。本文采用软件包LIS,旨在解决稀疏线性系统和稀疏线性特征值问题,以加速模拟。模拟湿筛和三层混凝土梁的弯曲骨折。对于所考虑的线性系统是全部对称的正定状态,所有时间都使用预处理的共轭梯度。测试包括ILU(0),ILU(1),SSOR,SAINV和SAAMG在内的五个对称预处理器。结果表明,虽然具有平滑的基于聚集的代数Multigridgigrig推导器Saamg的​​迭代次数小于与其他的迭代的数量小于与其他的迭代,但平均解决方案时间比简单的预处理器ILU(O)和SSOR的效率长。其效率与参数的选择密切相关。

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