Assessment of Gradient-based Reconstruction and Artificial Diffusivity Methods in Simulating High-Speed Compressible Flows
R. R. Kumar (1), S. Saini (1), N. R. Vadlamani (1), A. S. Chamarthi (2) ((1) Indian Institute of Technology Madras, Chennai, India, (2) California Institute of Technology, Pasadena, USA)

TL;DR
This paper compares artificial diffusivity and gradient-based reconstruction methods for simulating high-speed compressible flows, evaluating their accuracy, stability, and computational efficiency, and proposes a hybrid approach to combine their advantages.
Contribution
It introduces a hybrid LAD-GBR scheme that enhances stability and speed for high-speed turbulent flow simulations with shock interactions.
Findings
LAD and C-GBR have comparable accuracy in turbulent boundary layers.
C-GBR is more stable than LAD in high-speed flows.
The hybrid LAD-GBR scheme is faster and stable for complex shock-boundary layer interactions.
Abstract
The two promising methods for capturing high-speed flows are local artificial diffusivity (LAD) and centralised gradient-based reconstruction (C-GBR), the former being computationally economical and the latter being more robust and stable but expensive. While the LAD approach captures discontinuities by adding artificial fluid transport coefficients, C-GBR employs a wave appropriate discontinuity sensor to obtain cleaner results and utilises the HLLC approximate Riemann solver for computing inviscid fluxes. The efficacy of these schemes is initially demonstrated in single-species 1D and 2D test cases. Moreover, the shock-capturing capability is assessed for 3D supersonic and hypersonic turbulent boundary layers. The accuracy of LAD predictions is comparable to that of C-GBR for the test case of a supersonic turbulent boundary layer. From the stability front, all simulations are found to…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Gas Dynamics and Kinetic Theory · Advanced Numerical Methods in Computational Mathematics
