Shijie Liu

I am a doctoral researcher working on computational fluid dynamics, particle-laden flows, and bluff-body wakes. My current research asks how Reynolds number, geometry, inflow conditions, and particle Stokes number jointly shape inertial particle transport, clustering, retention, and deposition.

I am especially interested in canonical circular/square-cylinder wakes, finite-height bluff bodies, Lagrangian particle tracking, and OpenFOAM-based simulation workflows for wind-engineering and environmental flows.

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Research

I study particle-laden bluff-body wakes from a mechanism-driven CFD perspective. The goal is to connect flow topology, vortex dynamics, coherent structures, and inertial particle response across Reynolds number, Stokes number, geometry, and inflow condition. Representative directions are highlighted.

Studying how coherent wake structures govern particle clustering, void formation, near-wall retention, and deposition under varying inflow conditions.

Comparing circular cylinders, square cylinders, finite-height prisms, and surface-mounted building models to identify universal and geometry-specific particle transport mechanisms.

Building reproducible simulation and post-processing workflows for one-way and coupled particle-laden flow cases.

News

[08/2026] Launched shijieliu.com using the Jon Barron GitHub Pages template.
[07/2026] Refined the doctoral research plan on inertial particle transport in bluff-body wakes.
[2026] Building benchmark cases for Reynolds-number, geometry, and inflow-condition effects.

Academic Notes

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