Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations
Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations
复制标题
准静态场仿真的线性子空间缩减以加速重复计算
DOI:
10.1109/tmag.2013.2280693
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发表时间:
2014
影响因子:
2.1
通讯作者:
M. Clemens
中科院分区:
文献类型:
--
作者:
D. Schmidthausler;S. Schops;M. Clemens
The design of electrical machines and high-voltage devices requires the simulation of non-linear low frequency electromagnetic problems in time domain. Typically magneto- and electro-quasistatic problems in magnetic vector/electric scalar potential formulation lead after space discretization to differential-algebraic or ordinary differential equations, respectively. Therefore, huge systems of equations have to be solved in both cases. Typically a large number of degrees of freedom (DoF) is in domains with constant material parameters, i.e., linear subdomains, e.g., air or vacuum in exterior domains. In this paper, we present a method for low frequency simulations based on the proper orthogonal decomposition to reduce the DoF in these linear subspaces. The application of the method will be shown for a simple transformer model and within a global sensitivity analysis (uncertainty quantification) of the switching point in a non-linear resistive material used in a 11 kV standard insulator model.
影响因子:
2.1
作者:
Bartel;De Gersem;Hülsmann;Römer;Schöps;Weiland
通讯作者:
Weiland
DOI:
10.1108/03321641111168039
发表时间:
2011
影响因子:
0.7
作者:
Clemens;Schöps;De Gersem;Bartel
通讯作者:
Bartel