A Central Differential flux with high-Order dissipation for robust simulations of transcritical flows

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Authors: Bonan Xu, Chang Sun, Peixu Guo
Cited by: 1
References: 40

Abstract

The simulation of transcritical flows remains challenging due to strong thermodynamic nonlinearities that induce spurious pressure oscillations in conventional schemes.While primitive-variable formulations offer improved robustness under such conditions, they are always limited by energy conservation errors and the absence of systematic high-order treatments for numerical fluxes. In this paper, we introduce the Central Differential flux with High-Order Dissipation (CDHD), a novel numerical flux solver designed for primitive-variable discretization. This method combines a central flux for advection with a minimal, upwind-biased dissipation term to stabilize the simulation while maintaining formal accuracy. The dissipation term effectively suppresses oscillations and improves stability in transcritical flows. Compared to traditional primitive-variable approaches, CDHD reduces the energy conservation error in two order of magnitude. When incorporated into a hybrid framework with a conservative shock-capturing scheme, the method robustly handles both smooth transcritical phenomena and shock waves. Numerical tests validate the accuracy, stability, and energy-preserving capabilities of CDHD, demonstrating its potential as a reliable tool for complex real-gas flow simulations.

Fields of Study & Subjects

Computational Fluid Dynamics and Aerodynamics Combustion and flame dynamics Model Reduction and Neural Networks

Publication details

Journal / source
Journal of Computational Physics
Publisher
Elsevier BV
Volume
550
Pages
114653–114653
Publication date
7 January 2026
Language
EN