Research
During my Ph.D. study, I mainly focused on the numerical modeling and simulation of complex fluid flows. My research was primarily based on the mesoscopic lattice Boltzmann method (LBM), a widely used computational fluid dynamics approach, and was implemented with the support of NVIDIA’s high-performance parallel computing platform, CUDA.
My doctoral research covered both model development and numerical simulation. In terms of model development, I proposed a general, efficient, and stable triple-relaxation-time lattice Boltzmann model. This model provides a unified framework for solving convection–diffusion equations and Navier–Stokes equations. It can effectively reduce the numerical slip error induced by boundary treatments and significantly improve the numerical stability of conventional single-relaxation-time LB models. Moreover, the model can be extended to various complex partial differential equations, including the Burgers–Fisher equation, sine–Gordon equation, Ginzburg–Landau equation, and Schrödinger equation, as well as anisotropic problems and multiphase flows with high density and viscosity ratios.
Based on the developed numerical framework, I further investigated complex fluid-flow simulations under challenging conditions, such as high Reynolds number and high Rayleigh number flows. These studies provide useful numerical tools for revealing flow mechanisms under extreme physical conditions. In addition, I systematically studied solid–liquid phase-change heat transfer using the proposed algorithm, with particular attention to the effects of heat-source location and thermal boundary conditions on fluid flow and heat transfer during the phase-change process. The results provide useful references for enhancing solid–liquid phase-change heat transfer and have both practical significance and scientific value.
Recently, my research has primarily focused on the lattice Boltzmann method and its applications in complex flows and multiphysics coupling problems. Built upon mesoscopic modeling and high-performance computing, my work involves complex boundary treatments, multiphase and multicomponent systems, fluid–structure–acoustic coupling, biomedical flows, pore-scale transport in oil and gas reservoirs, and AI-assisted modeling. These studies are closely related to application scenarios in aerospace engineering, energy and power systems, biomedical engineering, and intelligent equipment.
Overall, my research interests can be summarized as follows: taking the lattice Boltzmann method as the core numerical framework, and integrating GPU parallel computing and artificial intelligence algorithms as essential tools, to develop stable, efficient, and scalable numerical simulation and prediction models for complex engineering problems.
Education background
PostDoc., National University of Defense Technology, Jun. 2023 – May. 2026
College of Science
Advisors: Prof. Songhe Song and Prof. Xu Qian
Ph.D., Huazhong University of Science and Technology, Sep. 2015 – Jun. 2020
Computational Mathematics, School of Mathematics and Statistics
Advisors: Prof. Baochang shi and Prof. Zhenhua Chai
Visiting Ph.D. Student, Data 61, CSIRO, Melbourne, VIC, Australia, Sep. 2019 - Oct. 2020
- Advisor: Dr. Gerald G. Pereira and Dr. Shibo Kuang
B.S., Southwest Jiaotong University, Sep. 2011 – Jun. 2015
- Information and Computing Science, School of Mathematics
Awards
Graduate National Scholarship, 2019
China Scholarship Council Scholarships, 2019
Graduate National Scholarship, 2017
Second Prize in Mathematical Modelling Competition of Chinese Graduate Students, 2015
Excellent University Graduates of Southwest Jiaotong University, 2015
Contact me
Office: Room 617, XinNengYuan Building 1, School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, Hunan 410114, China
E-mail: zhaoy@csust.edu.cn; mathzy@outlook.com
Mobile: +86 131 2509 3110
Available Hours: Mon-Sat 09:00 - 22:00
Contact: Please browse around and send me message if you have any questions.