Local and Direct discontinuous Galerkin methods: New algorithms and applications
Local and Direct discontinuous Galerkin methods: New algorithms and applications
批准号:
0915247
负责人:
Jue Yan
金额:
$9.92万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31
中文摘要
该提案是利用2009年美国复苏和再投资法案(公共法律111-5)提供的资金授予的。该项目的目标是设计、分析和实施新的不连续伽辽金(DG)有限元方法,求解物理和工程中的偏微分方程组。DG方法是一种高精度的数值方法,具有处理复杂几何形状和采用自适应hp策略的优点。PI将专注于开发两种不连续的Galerkin方法。1)局部间断Galerkin方法:提出了一种直接求解Hamilton-Jacobi方程的DG方法。由于Hamilton-Jacobi方程是一个非保守的非线性偏微分方程组,其DG方法的设计存在概念上的困难。形式。当应用于水平集相关问题时,该方法能够很好地捕捉界面,在两相流问题的进一步实际应用中具有很大的潜力。为了求解静态的Hamilton-Jacobi方程,将发展LDG方法和快速扫掠方法相结合。PI和她的合作者将继续研究其他非线性波动方程的LDG方法。2)直接间断Galerkin方法(DDG):提出了一种新的求解扩散型方程的DG方法。该方法的新奇之处在于找出了在不连续时哪些项对解的导数贡献最大。研究了一类允许的数值通量,并进行了稳定性分析和误差分析。为了获得DDG方法的最优精度阶,引入了界面修正项。此外,PI还将研究涡量流函数形式下的不可压缩N-S方程的DDG方法。随着DDG方法的成功发展,可以设计出高效、准确的DG方法来解决计算流体力学中的问题,其活动在于其全面覆盖了算法的开发、分析和实现。本课题研究的非线性问题应用广泛,涉及有趣的物理现象。许多流体问题涉及多组分,例如气泡/液滴、射流、波浪和薄膜。这些问题有界面来分离不同的材料,需要特殊的数值技术来准确地处理界面。间断Galerkin方法在应用高次多项式近似时,耗散误差很小,是一种很有吸引力的界面捕捉数值方法。预计拟议的活动将对广泛的应用领域做出积极贡献,包括(但不限于)流体动力学、计算机视觉、最优控制、半导体器件模拟和天气预报等。此外,研究人员将把该项目与研究生计算数学教育结合起来,以便在更广泛的背景下进行交流。
英文摘要
This proposal is awarded using funds made available by the American Recoveryand Reinvestment Act of 2009 (Public Law 111-5).The goal of the project is to design, analyze and implement new discontinuous Galerkin(DG) finite element methods solving partial differential equations arising from physics and engineering. DG method is a highly accurate numerical method with the advantage to handle complicated geometries, and apply h-p adaptive strategies in applications. The PI will focus on the development of two discontinuous Galerkin methods. 1)Local discontinuous Galerkin methods: a new DG method is proposed to directly solve Hamilton-Jacobi equations. There is a concept difficulty to design DG methods for Hamilton-Jacobi equation, because it is a nonlinear partial differential equation not in a ?conservative? form. When applied to level set related problems, the method can sharply capture the interface, and has a great potential for further practical applications on two-phase flow problems. To solve static Hamilton-Jacobi equations, the LDG method coupled with fast sweeping method will be developed. The PI and her collaborators will continue to study LDG methods for other nonlinear wave equations. 2)Direct discontinuous Galerkin methods(DDG): a new DG method is proposed to solve diffusion type equations. The novelty of the method is to figure out what terms essentially contribute the most to the solution derivative at the discontinuity. A class of admissible numerical fluxes will be studied and stability and error analysis will be carried out. Interface correction terms are introduced to obtain optimal order of accuracy for the DDG method. Furthermore, the PI will investigate DDG methods on incompressible Navier-Stokes equations in vorticity stream-function formulation. With the successful development of DDG method, efficient and accurate DG methods can be designed to solve problems arising from computational fluid dynamics.The proposed activity lies in its comprehensive coverage of algorithm development, analysis and implementation. The nonlinear problems studied in this project have rich applications and involve interesting physical phenomena. Many fluid problems involve multi-component, examples include bubble/drops, jets, waves and films. These problems have interfaces to separate different materials, and special numerical techniques are required to treat the interface accurately. Discontinuous Galerkin methods produce very small dissipation errors when applying with high order polynomial approximations, thus it is an attractive numerical method for interface capturing. The proposed activity is expected to make positive contributions to broad areas of applications, including (but not limited to) fluid dynamics, computer vision, optimal control, semiconductor device simulation and weather forecasting, among many others. In addition, the investigator will integrate the project with graduate computational mathematics education in order to communicate in a broader context.
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