Prediction of Wall Shear Stress in Open Cavity Models: An Integrated Study using CFD models and Data-Driven Sparse Sensing

Project: Internal Grant

Project Details

Description

This project will integrate a data-driven sparse sensing technique with CFD
models to test predicting wall shear stress (WSS) in simplified open cavity models. The project aims to test this methodology, generate some preliminary results, and submit a research proposal to the Institutional Research Enhancement Award (AIREA) funded by the American Heart Association (AHA). The proposal will be about integrating PIV-based experiments, CFD models, and DSS-based reconstruction and classification methods to predict/classify if a patient is potentially prone to the development of brain aneurysms.
StatusActive
Effective start/end date1/1/2412/31/25

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