Simulation of Nonlinear Magnetic Systems by the Finite Element Method Using BLR-Factorization

A. Khoroshev
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Abstract

The possibility of practical application of BLR-factorization (low-rank approximation of the matrix of un-knowns of a system of linear equations) for finite element modeling of the electromagnetic field topology of nonlinear magnetic systems is considered. A method for estimating the accuracy of the computed solution of the SLAE and the nature of the influence of the given accuracy of the low-rank approximation of the matrix of un-knowns on the upper limit of the relative forward error of the computed solution of the SLAE are shown. Using a model problem as an example, the dependence of the accuracy of calculating the integral characteristics of an electromechanical apparatus on the tolerance of the low-rank approximation of the matrix of unknowns is shown, as well as its effect on the convergence of the process of solving a nonlinear numerical problem. A quantitative assessment of the reduction in the computational complexity of the process of solving a numerical problem and the required amount of computer memory for solving the SLAE is carried out. The applicability of BLR-factorization for finite element modeling of the topology of the electromagnetic field without the use of numerical methods of the Krylov subspace is estimated.
基于blr分解的非线性磁系统有限元仿真
考虑了非线性磁系统电磁场拓扑有限元建模中blr分解(线性方程组未知数矩阵的低秩近似)的实际应用可能性。给出了一种估计SLAE计算解精度的方法,以及未知矩阵的低秩近似的给定精度对SLAE计算解相对前向误差上限的影响性质。以一个模型问题为例,说明了机电设备积分特性计算精度与未知数矩阵的低秩逼近容差的关系,以及它对非线性数值问题求解过程收敛性的影响。对解决数值问题过程的计算复杂性的降低和求解SLAE所需的计算机存储量进行了定量评估。估计了blr分解法在不使用Krylov子空间数值方法的情况下对电磁场拓扑进行有限元建模的适用性。
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