Cheng Peng

Orcid: 0000-0001-7652-3658

Affiliations:
  • Shandong University, School of Mechanical Engineering, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Jinan, China
  • Pennsylvania State University, Department of Energy and Mineral Engineering, University Park, PA, USA
  • University of Delaware, Spencer Laboratory, Newark, DE, USA (PhD 2018)


According to our database1, Cheng Peng authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lattice Boltzmann simulations of homogeneous shear turbulence laden with finite-size particles.
Comput. Math. Appl., January, 2024

A highly-efficient locally encoded boundary scheme for lattice Boltzmann method on GPU.
Comput. Phys. Commun., 2024

2023
Direct numerical simulation of homogeneous shear turbulence subject to a shear periodic boundary with the lattice Boltzmann method.
Comput. Math. Appl., September, 2023

2021
A thermodynamically consistent pseudo-potential lattice Boltzmann model for multi-component, multiphase, partially miscible mixtures.
J. Comput. Phys., 2021

2019
A lattice-Boltzmann scheme of the Navier-Stokes equation on a three-dimensional cuboid lattice.
Comput. Math. Appl., 2019

A lattice-BGK model for the Navier-Stokes equations based on a rectangular grid.
Comput. Math. Appl., 2019

An inverse design analysis of mesoscopic implementation of non-uniform forcing in MRT lattice Boltzmann models.
Comput. Math. Appl., 2019

2018
Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method.
J. Comput. Phys., 2018

2017
A scalable interface-resolved simulation of particle-laden flow using the lattice Boltzmann method.
Parallel Comput., 2017

2016
A hydrodynamically-consistent MRT lattice Boltzmann model on a 2D rectangular grid.
J. Comput. Phys., 2016

Designing correct fluid hydrodynamics on a rectangular grid using MRT lattice Boltzmann approach.
Comput. Math. Appl., 2016

Implementation issues and benchmarking of lattice Boltzmann method for moving rigid particle simulations in a viscous flow.
Comput. Math. Appl., 2016


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