Institute of Mountain Hazards and Environment (IMHE), CAS

Research Group of Prof. Zhou Gongdan

杨宗健 (ZONGJIAN YANG)

Position: Doctoral Student Institution: Institute of Mountain Hazards and Environment, Chinese Academy of Sciences Laboratory: Mountain Disaster Group Research Area: Fluid-Particle Dynamics Office Address: Chengdu Shuangliu District, Sichuan Province, Institute of Water Resources and Environmental Protection, Chinese Academy of Sciences, Ministry of Water Resources Email: yang_zongjian@163.com

About Me

I am a researcher focused on the granular flow and fluid-structure interaction mechanisms. I focus on two core questions: the impact and wear mechanisms of granular flows on structural surfaces, and the migration patterns and evolution characteristics of granular media under fluid action.

Methodologically, I employ a research approach combining numerical simulation and theoretical analysis. I use the Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) coupling to analyze the interactions between particles, fluids, and structures. I am currently expanding the application of machine learning methods for pattern recognition and evolution prediction in granular flows.

By establishing correlation models between granular flows and structural responses, I aim to provide theoretical foundations and technical support for geological hazard mitigation, particle transport process analysis, and durability assessment of related infrastructure.

Keywords: Granular Flow Fluid-Structure Interaction CFD-DEM Coupling Geological Hazard Mitigation

Education

Research Interests

  1. Turbulent Machine Learning
    By using models such as neural networks, we can learn and predict the patterns of complex chaotic fluid movements from a large amount of data.

  2. Fluid-Solid Coupling Analysis
    The complex mechanical process by which water flow interacts with solid particles, determining the movement, collisions and overall flow pattern of the particles.

  3. Turbulence Model
    The applicability of common turbulence models in particle flow

Patents

Contact Information