Prof. Yonghao Zhang
Jason Reese Chair in Multiscale Fluid Mechanics
PhD (Aberdeen), CEng, FIMechE, FInstP
Email
yonghao.zhangobfuscate@ed.ac.uk
Google Scholar
Biography

My ambition is to lead the multiscale flow X group to advance our understanding of fundamental flow physics and chemistry in micro/nano systems, with the aim of utilising these research advances to develop new technologies with capabilities beyond any currently conceived.

My expertise is in the fluid dynamics of rarefied flows, which presents an important technological challenge, with long-term research and industrial implications. My group is among the first to develop lattice Boltzmann (LB) methods for simulating rarefied flows. In particular, we were the first to prove that high-order LB models can be reduced to the linearised BGK equation, giving confidence that LB models can be applied to highly rarefied gas dynamics. We also developed a fast spectral method for solving the Boltzmann equation, considering different molecular potential models. My other research activities centre on complex flow physics, including multiphase flows, droplet technologies and granular flows. My research has been funded by the EPSRC, EU FP7, STFC, Royal Society of Edinburgh, and the Leverhulme Trust. I am a Fellow of Institute of Mechanical Engineers, and a Fellow of Institute of Physics.

I currently hold the Jason Reese Chair in Multiscale Fluid Mechanics. After my PhD study in Mechanical Engineering at the University of Aberdeen in 2001, I worked as a Computational Scientist, then Senior Scientist, in the Computational Science and Engineering Department of Daresbury Laboratory. In 2007, I joined the Department of Mechanical Engineering at the University of Strathclyde rising to Weir Chair in Thermodynamics and Fluid Mechanics, before moving to University of Edinburgh in 2020.

Papers

Self-diffusivity of dense confined fluids
Pore-scale gas flow simulations by the DSBGK and DVM methods
Computational methods for pore-scale simulation of rarefied gas flow
Multiscale simulation of molecular gas flows by the general synthetic iterative scheme
Shale gas permeability upscaling from the pore-scale
Dense gas flow simulations in ultra-tight confinement
Rarefied flow separation in microchannel with bends
GSIS: An efficient and accurate numerical method to obtain the apparent gas permeability of porous media
Can we find steady-state solutions to multiscale rarefied gas flows within dozens of iterations?
A relaxed multi-direct-forcing immersed boundary-cascaded lattice Boltzmann method accelerated on GPU
Implicit Discontinuous Galerkin Method for the Boltzmann Equation
The kinetic Shakhov–Enskog model for non-equilibrium flow of dense gases
Droplet jumping induced by coalescence of a moving droplet and a staticone: Effect of initial velocity
Pore-scale simulations of rarefied gas flows in ultra-tight porous media
A comparative study of the DSBGK and DVM methods for low-speed rarefied gas flows
A multi-level parallel solver for rarefied gas flows in porous media
A high-order hybridizable discontinuous Galerkin method with fast convergence to steady-state solutions of the gas kinetic equation
Numerical study of the particle sedimentation in a viscous fluid using a coupled DEM-IB-CLBM approach