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Efficient Hybridizable Discontinuous Galerkin Methods for Phase Field Fluid Models

用于相场流体模型的高效可杂交不连续伽辽金方法

基本信息

批准号：
2310340
负责人：
Daozhi Han
金额：
$ 15.28万
依托单位：
SUNY at Buffalo
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-12-01 至 2025-07-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2310340&HistoricalAwards=false
关键词：
Efficient Hybridizable Discontinuous Galerkin Methods

项目摘要

Multiphase flow is ubiquitous in natural phenomena and industrial applications. Common examples include wave-breaking and sloshing, contaminant transport in aquifers, oil recovery in petroleum engineering, drug delivery in blood flow, gas-particle flow in combustion reactors, exhaust management in Polymer Electrolyte Membrane fuel cell technology, and so forth. The diffuse interface fluid models have become increasingly popular in the numerical modeling of interfacial phenomena associated with multiphase flows. They are able to capture smooth transitions of fluid interface, and simulations can be carried out on a fixed grid without explicit interface tracking. A particular challenge in solving diffuse interface models is that the diffusive interface of small width often exhibits instability such as bubble merging or splitting. Traditional high order methods are prone to spurious oscillations around diffusive interfaces which can pollute the numerical solution beyond the interface region and even cause blow-up of the code due to negative viscosity, density or mobility. The aim of this project is to develop high order numerical methods that can accurately capture moving interfaces of multiphase flow.Real-world applications see both diffusion dominated flows and advection dominated flows. The investigator first develops and analyzes provably superconvergent hybridizable discontinuous Galerkin methods (HDG) for solving diffuse interface fluid models in the diffusion-dominated regime. The key idea in the design is to approximate solution variables by higher order polynomials than those for the numerical traces and gradient variables, and to explore local projection based stabilization. The PI then designs stabilized high order HDG methods effected with the Scalar Auxiliary Variable (SAV) time-stepping schemes for advection-dominated flows. The methods stabilize advection in the nonlinear fourth order advection-diffusion equation while preserve the underlying energy laws. The stabilized SAV-HDG algorithms enable diffuse interface methods to accurately capture sharp fronts and unstable interfaces in the advection-dominated regime, and allow efficient parallel computation of smaller systems at each time step. Finally the PI develops and implements fast nonlinear HDG multigrid solvers for diffuse interface fluid models. The practical solvers will further address the lack of efficient iterative solvers/preconditioners for HDG methods Graduate students participate in the work of this project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

多相流在自然现象和工业应用中普遍存在。常见的例子包括波浪破碎和晃动、含水层中的污染物运输、石油工程中的石油回收、血流中的药物输送、燃烧反应器中的气体-颗粒流、聚合物电解质膜燃料电池技术中的废气管理等。扩散界面流体模型在多相流界面现象的数值模拟中得到了越来越广泛的应用。它们能够捕捉流体界面的平滑过渡，并且可以在固定网格上进行模拟，而无需显式的界面跟踪。在求解扩散界面模型时，一个特殊的挑战是，小宽度的扩散界面往往表现出不稳定性，如气泡合并或分裂。传统的高阶方法容易在扩散界面附近产生虚假振荡，这会污染界面区域以外的数值解，甚至由于负粘性、负密度或负迁移率而导致代码爆破。该项目的目的是开发高阶数值方法，可以准确地捕捉多相流的移动界面。实际应用中既有扩散主导的流动，也有平流主导的流动。研究者首先发展和分析了可证明超收敛的杂交间断Galerkin方法（HDG），用于求解扩散主导区域的扩散界面流体模型。设计中的关键思想是用比数值迹和梯度变量更高阶的多项式逼近解变量，并探索基于局部投影的稳定化。PI然后设计稳定的高阶HDG方法与标量辅助变量（SAV）的时间步进计划的平流为主的流动。这些方法稳定了平流在非线性四阶对流扩散方程中，同时保持基本的能量定律。稳定的SAV-HDG算法使扩散界面方法能够准确地捕获对流主导制度中的尖锐前沿和不稳定界面，并允许在每个时间步长对较小系统进行有效的并行计算。最后，PI开发并实现了扩散界面流体模型的快速非线性HDG多重网格求解器。实用的求解器将进一步解决HDG方法缺乏有效的迭代求解器/预处理器的问题。研究生参与该项目的工作。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。