W Cao, J Song, W Zhang - Physics of Fluids, 2024 - pubs.aip.org
Physics-informed neural networks (PINNs) have recently become a new popular method for solving forward and inverse problems governed by partial differential equations. However, in …
M Yang, S Li - Engineering Applications of Computational Fluid …, 2023 - Taylor & Francis
In this paper, we present the development of a third-order density-based solver within the OpenFOAM framework, tailored for handling compressible flows. The solver incorporates …
Numerical simulations of high-speed compressible flows remain challenging in engineering as the appearance of shock waves poses difficulties for high-resolution schemes as well as …
X Deng - Journal of Computational Science, 2023 - Elsevier
This work develops a new finite volume convection scheme and open-source library for convection-dominated problems on unstructured grids. The formulated reconstruction …
X Deng, Z Jiang, C Yan - Journal of Computational Physics, 2025 - Elsevier
Developing accurate, efficient and robust shock-capturing schemes on non-uniform grids remains challenging particularly when facing strong non-uniformity. Thus, we extend the …
W Ren, W Xie, Y Zhang, H Yu, Z Tian - SoftwareX, 2023 - Elsevier
The simulation of supersonic or hypersonic flows often suffers from numerical shock instabilities if the flow field contains strong shocks, limiting the further application of shock …
Large eddy simulation (LES) has the potential to predict turbulent combustion phenomena in modern practical combustors. As errors from sub-grid models may be comparable to the …
M Sun, Y Shao, Y Gong, C Xu, T Song, P Lu… - Fire, 2024 - mdpi.com
In this study, a novel gas burner combining air swirl and an inverse diffusion flame (IDF) is designed for industrial applications. Numerical simulations using the Reynolds-averaged …
We present a numerical scheme valid in the range of highly to weakly compressible flows using a single-fluid four equation approach together with multi-component thermodynamic …