Project Digital Twin for A Subsea Oil Dispersion Experiment Program Mechanical Engineering Undergraduate Research Program Term Fall 2025 Status Closed Research Area Computational Fluid Dynamics Description This project aims to develop a digital twin — a virtual simulation model — of the experimental study on subsea mechanical dispersion (SSMD) as presented in Brandvik et al. (2023), SSMD, using water jetting to reduce oil droplet sizes during subsea oil leakage, has demonstrated effectiveness across small to large-scale experiments in pressurized tanks, wave basins, and outdoor facilities like Ohmsett. The digital twin will simulate the dynamics of oil droplet dispersion under various experimental conditions, including nozzle configurations, flow rates, and water velocities, providing a platform for virtual testing, optimization, and scenario analysis. This project integrates computational fluid dynamics (CFD) with real-world experimental data, offering students interdisciplinary experience in environmental engineering, computational modeling, and oil spill response technology Supervisor Huidan Yu Mentor Type of work required 1. To be directed to adapt the in-house GPU-LBM code to the provided experimental setting.
2. To be directed to use a GPU server to run jobs on group GPU server.
3. Analyze simulation outputs with tools like MATLAB, ParaView, Tecplot, or Excel to ensure accuracy.
Websites Qualifications 1. Completed ME 30800-Fluid Mechanics 2. Minimum GPA 3.5 3. Proficiency in MATLAB and/or C++ Credit Hours 3 Weekly Hours 12 (estimated)