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Parallel Finite Element Analysis of Electric Field in Aluminum Reduction Cell Based on Domain Decomposition Method

机译:基于域分解法的铝减速电池电场的平行有限元分析

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Finite element analysis for large-scale complicated structure such as aluminum reduction cell makes higher demand on memory capacity and calculation speed, resulting in failure or inefficiency of traditional serial computation for such large-scale problems constantly. The parallelization of Jacobi preconditioned conjugate gradient (PCG) algorithm and boundary conditions processing is discussed based on domain decomposition method (DDM). And the storage of coefficient matrix for each sub-domain is studied based on element-by-element (EBE) strategy. Coordinate-based division is used for task partition considering structural characteristics of the aluminum reduction cell. Subsequently, parallel program of finite element analysis based on DDM is developed using C language and MPI standard library, and then applied to numeric simulation of electric field distribution in aluminum reduction cell. Parallel performance of both entire and each part of the program developed is analyzed and parallel efficiency of DDM and EBE method is compared. Experiment results show that the method is of significantly high acceleration performance and can greatly shorten the calculation time, which indicates the effectiveness of DDM's application in parallel finite element analysis of large-scale complicated structures.
机译:大型复杂结构的有限元分析如铝还原电池的需求较高,对存储器容量和计算速度的需求较高,导致传统串行计算的失败或效率低于这种大规模问题。基于域分解方法(DDM),讨论了Jacobi预处理共轭梯度(PCG)算法和边界条件处理的并行化。基于按元素(EBE)策略,研究了每个子域的系数矩阵的存储。考虑铝减少细胞的结构特征,基于坐标的划分用于任务分区。随后,使用C语言和MPI标准库开发了基于DDM的基于DDM的有限元分析的并行程序,然后应用于铝减少电池中电场分布的数值模拟。分析了开发的程序的整个和每个部分的并行性能,并进行了DDM和EBE方法的并行效率。实验结果表明,该方法具有显着高的加速性能,可以大大缩短计算时间,这表明DDM应用于大规模复杂结构的平行有限元分析中的应用。

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