Projects and Grants per year
Grants and Contracts Details
Description
Turbulent flow arises in a vast array of NASA technologies ranging from flow around
launch and entry vehicles to internal flow within propulsion and life-support systems.
Thus, computational techniques for accurate turbulent-flow simulation can advance
numerous NASA missions. Direct numerical simulation (DNS) is effective for turbulent
flow; however, the precision of DNS is unavailable for complex geometries or high
Reynolds numbers due to its immense computational cost. Instead, modeling approaches
such as large-eddy simulation (LES), detached-eddy simulation (DES), and Reynoldsaveraged
Navier-Stokes (RANS) must be used for these flows. The optimal parameters of
these turbulence models are generally problem dependent and often determined using
trial-and-error calibration with experimental or higher-fidelity numerical results.
The objective of this project is to develop a data-driven adaptive CFD model for simulating
unsteady turbulent flow, where partial-but-incomplete flow-field data is available. This
project leverages our recently developed data-driven adaptive RANS k—ù (DARK) model
for steady turbulent flow simulation. Thus, we aim to advance DARK by extending it to
handle unsteady turbulent flow, and improving its computational efficiency. A key
enabling technology for these advances is the PI's recently developed retrospective cost
adaptation (RCA) approach. We will develop an improved DARK model by implementing
RCA for DARK-model adaptation. We will test this improved model on several canonical
test cases for unsteady turbulent flow.
Status | Finished |
---|---|
Effective start/end date | 6/1/17 → 5/31/18 |
Funding
- KY Council on Postsecondary Education
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Projects
- 1 Finished
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KY EPSCoR: Research Infrastructure Development (RID-3)
Smith, S. (PI)
6/1/15 → 5/31/19
Project: Research project