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Numerical Issues for Solving Eu-type Generalized Hydrodynamic Equations to Investigate Continuum-rarefied Gas Flows.
Hong Xiao1,2, Qijiao He3, Di Wu4
1School of Power and Energy, Northwestern Polytechnical University, Xi'an, 710072, China. xhong@nwpu.edu.cn.
Scientific Reports
|January 24, 2019
Summary
This study addresses challenges in simulating gas flows using generalized hydrodynamic equations. The mixed discontinuous Galerkin method is explored for accuracy and efficiency in complex flow scenarios.
Area of Science:
- Computational fluid dynamics
- Kinetic theory
- Numerical methods
Background:
- Generalized hydrodynamic equations derived from Boltzmann kinetic theory are crucial for analyzing continuum and rarefied gas flows.
- The mixed discontinuous Galerkin (DG) method offers a potential numerical approach for solving these complex equations.
Purpose of the Study:
- To investigate and report critical issues in applying the mixed DG method to multidimensional Eu-type generalized hydrodynamic equations.
- To evaluate the method's performance concerning boundary conditions, accuracy, and computational efficiency.
Main Methods:
- Derivation of Eu-type generalized hydrodynamic equations from Boltzmann kinetic theory.
- Implementation of the mixed discontinuous Galerkin method for multidimensional simulations.
- Development and application of a slope limiter for enhanced accuracy and oscillation prevention.
- Comparison of computational efficiency with particle methods.
Main Results:
- Detailed analysis of challenges in treating solid boundary conditions for nonlinear constitutive equations within the mixed DG framework.
- Successful implementation of a slope limiter to maintain high accuracy and prevent unphysical oscillations.
- Demonstration of the method's applicability to complex flow problems, including flow around an airfoil, wedge, sphere, and Apollo configuration.
Conclusions:
- The mixed discontinuous Galerkin method presents viable solutions for simulating complex gas flows governed by Eu-type generalized hydrodynamic equations.
- Addressing boundary conditions, employing slope limiters, and optimizing computational efficiency are key for successful implementation.
- The method shows promise for analyzing challenging aerodynamic configurations.
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