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.
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.
Status | Active |
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Effective start/end date | 1/1/24 → 12/31/25 |
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