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A Grid-based integral approach for quasilinear problems

机译:基于网格的拟线性问题积分方法

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摘要

For non-homogeneous and nonlinear problems, a major difficulty in applying the Boundary Element Method is the treatment of the volume integrals that arise. A recent proposed method, the grid-based integration method (GIM), uses a 3-D uniform grid to reduce the complexity of volume discretization, i.e., the discretization of the whole domain is avoided. The same grid is also used to accelerate both surface and volume integration. The efficiency of the GIM has been demonstrated on 3-D Poisson problems. In this paper, we report our work on the extension of this technique to quasilinear problems. Numerical results of a 3-D Helmholtz problem and a quasilinear Laplace problem on a multiply-connected domain with Dirichlet boundary conditions are presented. These results are compared with analytic solutions. The performance of the GIM is measured by plotting the L2-norm error as a function of the overall CPU time and is compared with the auxiliary domain method in the Helmholtz problem.
机译:对于非齐次和非线性问题,应用边界元法的主要困难是对出现的体积积分的处理。最近提出的一种方法,即基于网格的集成方法(GIM),使用3-D统一网格来降低体积离散化的复杂性,即避免整个域的离散化。同一网格还用于加速表面和体积集成。 GIM的效率已在3-D泊松问题上得到证明。在本文中,我们报告了将这项技术扩展到拟线性问题的工作。给出了具有Dirichlet边界条件的多重连通域上的3-D Helmholtz问题和拟线性Laplace问题的数值结果。将这些结果与解析解进行比较。 GIM的性能是通过将L2 范数误差绘制为CPU总时间的函数来测量的,并与Helmholtz问题中的辅助域方法进行了比较。

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