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Extension of the High-Order Entropy-stable Discontinuous Galerkin Solver to Non-Equilibrium Flows

Project

Project Details

Program
Applied Mathematics and Computer Science
Field of Study
Computational Science and Scientific Machine Learning
Division
Computer, Electrical and Mathematical Sciences and Engineering

Project Description

Hypersonic flows encountered during atmospheric re-entry and high-speed aerospace operations demand robust CFD techniques. Under these extreme conditions, chemical non-equilibrium (CNEQ) and thermochemical non-equilibrium (TCNEQ) effects arise due to dissociation, ionization, and vibrational-electronic energy exchanges among multiple species and energy modes. Traditional CFD solvers that assume equilibrium conditions cannot accurately capture these complex physical phenomena.

About the Researcher

Matteo Parsani
Associate Professor, Applied Mathematics and Computational Science

Desired Project Deliverables

The entropy-stable Discontinuous Galerkin (DG) solver developed at KAUST (SSDC) has demonstrated excellent accuracy and stability for single-species flow simulations. However, to extend its applicability to non-equilibrium hypersonic regimes, we must incorporate multi-species and multi-temperature modeling capabilities that account for high-temperature chemical reactions and inter-modal energy transfer.

Recommended Student Background

At least basic programming skills and an interest to become better. Ideally, in C, Fortran, Python.
Understanding of the compressible Navier–Stokes equations and fundamentals of high-speed flows is highly desira
Prior coursework or hands-on work in numerical methods and CFD is an advantage, although not strictly mandatory
Comfort with a Linux-based environment for software development, debugging, and potentially high-performance co

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3-6 months
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