浅水流体力学的高阶曲线拉格朗日有限元方法

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2023-07-30 DOI:10.1002/fld.5228
Jiexing Zhang, Ruoyu Han, Guoxi Ni
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引用次数: 0

摘要

提出了浅水流体动力学的高阶曲线拉格朗日有限元方法。该方法属于采用曲线有限元的高阶拉格朗日框架。我们对连续有限元空间中的位置和速度进行离散化。高阶有限元基函数定义在曲线网格上,可通过参考单元的高阶参数映射得到。考虑动量守恒的变分公式,由于采用了运动的有限元基函数,整体质量矩阵与时间无关。质量守恒以逐点的方式离散,称为强质量守恒。引入张量人工黏度来处理激波,同时保持对称流解的对称性。采用通用的显式龙格-库塔法可实现高阶时间积分。数值实验验证了该方法的高阶精度,并证明了采用高阶曲线元的良好性能。
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High-order curvilinear Lagrangian finite element methods for shallow water hydrodynamics

We propose a high-order curvilinear Lagrangian finite element method for shallow water hydrodynamics. This method falls into the high-order Lagrangian framework using curvilinear finite elements. We discretize the position and velocity in continuous finite element spaces. The high-order finite element basis functions are defined on curvilinear meshes and can be obtained through a high-order parametric mapping from a reference element. Considering the variational formulation of momentum conservation, the global mass matrix is independent of time due to the use of moving finite element basis functions. The mass conservation is discretized in a pointwise manner which is referred to as strong mass conservation. A tensor artificial viscosity is introduced to deal with shocks, meanwhile preserving the symmetry property of solutions for symmetric flows. The generic explicit Runge–Kutta method could be adopted to achieve high-order time integration. Several numerical experiments verify the high-order accuracy and demonstrate good performances of using high-order curvilinear elements.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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