activity
20212023
most citedCoupled Metaball Discrete Element Lattice Boltzmann Method for Fluid-Particle Systems with non-spherical particle shapes: A sharp interface coupling scheme

20 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2023

Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies

Yifeng Zhao, Pei Zhang, Stan Z. Li +1

Solute transport in fluid-particle systems is a fundamental process in numerous scientific and engineering disciplines. The simulation of it necessitates the consideration of solid…

eess.IV2023★ 14 cited

Characterization and Generation of 3D Realistic Geological Particles with Metaball Descriptor based on X-Ray Computed Tomography

Yifeng Zhao, Xiangbo Gao, Pei Zhang +3

The morphology of geological particles is crucial in determining its granular characteristics and assembly responses. In this paper, Metaball-function based solutions are proposed…

cs.CE2022★ 11 cited

Metaball-Imaging Discrete Element Lattice Boltzmann Method for fluid-particle system of complex morphologies with settling case study

Yifeng Zhao, Pei Zhang, Liang Lei +2

Fluid-particle systems are highly sensitive to particle morphologies. While many attempts have been made on shape descriptors and coupling schemes, how to simulate the particle-par…

physics.flu-dyn2022★ 20 cited

Coupled Metaball Discrete Element Lattice Boltzmann Method for Fluid-Particle Systems with non-spherical particle shapes: A sharp interface coupling scheme

Pei Zhang, Ling Qiu, S. A. Galindo-Torres +3

Fluid-particle systems are very common in many natural processes and engineering applications. However, accurately and efficiently modelling fluid-particle systems with complex par…

physics.geo-ph2021

A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient

Yifeng Zhao, Pei Zhang, S. A. Galindo-Torres +1

Longitudinal Dispersion(LD) is the dominant process of scalar transport in natural streams. An accurate prediction on LD coefficient(Dl) can produce a performance leap in related s…

cs.LG2021

A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams

Yifeng Zhao, Zicheng Liu, Pei Zhang +2

A better understanding of dispersion in natural streams requires knowledge of longitudinal dispersion coefficient(LDC). Various methods have been proposed for predictions of LDC. T…