A machine learning-based interaction force model for non-spherical and irregular particles in low Reynolds number incompressible flows
In this study, interaction force of non-spherical particles in low Reynolds number gas-solid
flow is investigated by neural network approaches. An artificial neural network (ANN) model …
flow is investigated by neural network approaches. An artificial neural network (ANN) model …
Machine learning optimization of compact finite volume methods on unstructured grids
Fourier analysis based optimization techniques have been developed for numerical
schemes on structured grids and result in significant performance improvements. However …
schemes on structured grids and result in significant performance improvements. However …
A high-order nonlinear limiter for discontinuous Galerkin method on parallel adaptive Cartesian grids
The discontinuous Galerkin (DG) method has been widely adopted due to its excellent
properties. However, the problem of designing a class of high-order limiter that takes into …
properties. However, the problem of designing a class of high-order limiter that takes into …
A shock capturing artificial viscosity scheme in consistent with the compact high-order finite volume methods
Z Wu, YX Ren - Journal of Computational Physics, 2024 - Elsevier
This paper presents a shock capturing artificial viscosity scheme for the compact high-order
finite volume methods in terms of the variational reconstructions on unstructured grids. The …
finite volume methods in terms of the variational reconstructions on unstructured grids. The …
Deep learning for drag force modelling in dilute, poly-dispersed particle-laden flows with irregular-shaped particles
S Hwang, J Pan, LS Fan - Chemical Engineering Science, 2023 - Elsevier
This study applies machine learning-based approaches to develop a drag force model for
irregular-shaped particles in incompressible flows. The particle-laden flows are studied …
irregular-shaped particles in incompressible flows. The particle-laden flows are studied …
High-order compact finite volume schemes for solving the Reynolds averaged Navier-Stokes equations on the unstructured mixed grids with a large aspect ratio
In this paper, high-order compact finite volume schemes on the unstructured grids based on
the variational reconstruction are developed to solve the Reynolds averaged Navier-Stokes …
the variational reconstruction are developed to solve the Reynolds averaged Navier-Stokes …
Compact high-order gas-kinetic scheme for three-dimensional flow simulations
A third-order compact gas-kinetic scheme is proposed for three-dimensional compressible
flow computations. The new scheme is based on three key ingredients: the time-accurate …
flow computations. The new scheme is based on three key ingredients: the time-accurate …
High-order compact gas-kinetic schemes for three-dimensional flow simulations on tetrahedral mesh
A general framework for the development of high-order compact schemes has been
proposed recently. The core steps of the schemes are composed of the following. 1). Based …
proposed recently. The core steps of the schemes are composed of the following. 1). Based …
Numerical simulation of boiling on unstructured grids
A numerical method for the simulation of multiphase flows with phase change on
unstructured grids is presented. Based on the work of Tanguy et al.[31] using a Level …
unstructured grids is presented. Based on the work of Tanguy et al.[31] using a Level …
Two-step multi-resolution reconstruction-based compact gas-kinetic scheme on tetrahedral mesh
This paper presents the development of a third-order compact gas-kinetic scheme (GKS) for
compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured …
compressible Euler and Navier-Stokes solutions, constructed particularly for an unstructured …