A Spectral Element Reduced Basis Method for Navier–Stokes Equations with Geometric Variations

A Spectral Element Reduced Basis Method for Navier–Stokes Equations with Geometric Variations
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具有几何变分的纳维-斯托克斯方程的谱元简化基法

DOI:
10.1007/978-3-030-39647-3_45
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发表时间:
2018
期刊:
Lecture Notes in Computational Science and Engineering
影响因子:
--
通讯作者:
G. Rozza
G. Rozza
中科院分区:
--
文献类型:
--
作者:
M. Hess;A. Quaini;G. Rozza

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我们考虑具有变高度缩窄的通道中的Navier-Stokes方程。模型采用高阶谱元ANSATZ函数离散,得到6372个自由度。稳态快照解决方案通过标准POD程序定义了减少的订单空间。降阶空间可以准确、高效地计算不同几何形状的稳态解。特别是,我们详细描述了结合谱元素离散化实现降阶模型的不同方面。结果表明,在参数多查询场景中,单元局部自由度的扩展可以与降阶建模方法相结合来提高计算时间。
We consider the Navier-Stokes equations in a channel with a narrowing of varying height. The model is discretized with high-order spectral element ansatz functions, resulting in 6372 degrees of freedom. The steady-state snapshot solutions define a reduced order space through a standard POD procedure. The reduced order space allows to accurately and efficiently evaluate the steady-state solutions for different geometries. In particular, we detail different aspects of implementing the reduced order model in combination with a spectral element discretization. It is shown that an expansion in element-wise local degrees of freedom can be combined with a reduced order modelling approach to enhance computational times in parametric many-query scenarios.