首页> 外文期刊>Computer Methods in Applied Mechanics and Engineering >Reduced order modeling of time-dependent incompressible Navier-Stokes equation with variable density based on a local radial basis functions-finite difference (LRBF-FD) technique and the POD/DEIM method
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Reduced order modeling of time-dependent incompressible Navier-Stokes equation with variable density based on a local radial basis functions-finite difference (LRBF-FD) technique and the POD/DEIM method

机译:基于局部径向基函数 - 有限差分(LRBF-FD)技术和POD / DEIM方法,减少了具有可变密度的时间依赖不可压缩Navier-Stokes方程的顺序建模

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摘要

The main propose of this investigation is to introduce a rapid and impressive numerical procedure to simulate the time dependent incompressible Navier-Stokes equation with variable density. The developed formulation is constructed by using the meshfree RBF-FD technique. Also, to improve the numerical results, an extra diffusion term has been added to the density equation with a small coefficient. On the other hand, a reduced order technique e.g. proper orthogonal decomposition (POD) has been employed to get a fast numerical method and to decrease the elapsed CPU time. On the other hand, since the considered problem is fully nonlinear, thus in the reduced order model based on the POD idea, there are some nonlinear terms that they take more computational time. Hence, we employ the discrete empirical interpolation method (DEIM) to overcome the nonlinear terms. Four test problems have been proposed to show the ability of the numerical simulations. (C) 2020 Elsevier B.V. All rights reserved.
机译:本研究的主要提议是引入快速且令人印象深刻的数值程序,以模拟具有可变密度的时间依赖性不可压缩的Navier - Stokes方程。通过使用MeshFree RBF-FD技术构建开发的配方。而且,为了改善数值结果,已经将额外的扩散项添加到具有小系数的密度方程中。另一方面,一项减少的订单技术。已经采用了适当的正交分解(POD)来获得快速数值方法并降低经过的CPU时间。另一方面,由于所考虑的问题是完全非线性的,因此在基于POD思想的下降阶模型中,它们存在一些非线性术语,它们需要更多的计算时间。因此,我们采用离散的经验插值方法(DEIM)来克服非线性术语。已经提出了四个测试问题来显示数值模拟的能力。 (c)2020 Elsevier B.v.保留所有权利。

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