| NSF Org: |
CBET Div Of Chem, Bioeng, Env, & Transp Sys |
| Recipient: |
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| Initial Amendment Date: | November 21, 2022 |
| Latest Amendment Date: | November 21, 2022 |
| Award Number: | 2238770 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Ron Joslin
rjoslin@nsf.gov (703)292-7030 CBET Div Of Chem, Bioeng, Env, & Transp Sys ENG Directorate For Engineering |
| Start Date: | December 1, 2022 |
| End Date: | November 30, 2027 (Estimated) |
| Total Intended Award Amount: | $516,336.00 |
| Total Awarded Amount to Date: | $409,735.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
10 W 35TH ST CHICAGO IL US 60616-3717 (312)567-3035 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
10 W 35TH ST CHICAGO IL US 60616-3717 |
| Primary Place of Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | FD-Fluid Dynamics |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.041 |
ABSTRACT
Identifying and understanding the fundamental mechanisms that sustain unsteady and turbulent flows is important for ensuring accurate prediction and effective optimization and control across a broad range of applications, such as for reducing drag on aerodynamic vehicles, improving efficiency in wind energy harvesting devices, and improving patient outcomes via cardiovascular flows. While we have a good understanding of such mechanisms for simple flows, new tools will be required to obtain similar levels of understanding for a broader range of applications of real-world relevance. This project will develop methods that enable such mechanisms to be identified in an automated and unambiguous manner, with minimal data and computational requirements. These technical developments will be coupled with educational and outreach initiatives involving the research community, university students in coursework and research, K-12 students, and members of local community groups on Chicago's South Side.
The proposed research will develop two central ideas to address the challenge identified above, with an overall goal of developing a methodology to isolate dominant coherent structures and mechanisms in an unambiguous, automated, and computationally efficient manner. The first idea involves applying sparsity-promoting methods to physics-based modeling tools to uncover minimal-physics models without needing the human insight and/or trial-and-error that would otherwise be required. The second idea considers methods to approximate the behavior of these mechanisms using analytic rather than numerical methods, leveraging ideas from wave-packet pseudo-spectral theory. This formulation in turn enables additional analysis methods conducive to studying a broader class of mechanisms, in particular allowing for highly nonlinear behavior to be modeled. To demonstrate their utility, these methods will be applied on a range of fluid flows, including incompressible and compressible parallel shear flows, flows with secondary mean flow components induced by sidewalls, and cardiovascular flows with more complex geometries. An improved ability to identify and manipulate the coherent structures that exist within turbulent flows can benefit a broad range of applications, with the potential to decrease friction drag on air, sea, and ground transport vehicles, increase the efficiency of wind turbines, and enhance understanding and treatment of cardiovascular diseases.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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