# Presentation: 858513

##     Fluid Dynamics Program	

**    *****Fluid Dynamics Program*****	**

**William W. Schultz**
**Program Director**

## FD:   Funding Distribution

**FD:   Funding Distribution**

**TURBULENCE, STABILITY & FLOW CONTROL****	****	****	****	****25%**
**RHEOLOGY - Complex fluids and polymer processing****	****	****	****10%**
**WAVES, HYDRAULICS & ENVIRONMENTAL FLUID MECHANICS   ****	****15%**
**GENERAL FLUID MECHANICS & COMPRESSIBLE FLOWS****	****	****15%**
**MICRO / NANO FLUIDICS****	****	****	****	****	****	****15%**
**INSTRUMENTATION****	****	****	****	****	****	****   ****	****  ****5%**
**BIO FLUID DYNAMICS****	**			   		**15%**

**trends**

## Trends  in  Funding

**Trends  in  Funding**

_**Submission Windows**_** (unsolicited proposals):  ****September**** & ****March**
_**Emphasis:**_
**Innovative ideas with significant impact on science & engineering**
**Exploratory projects with potential for breakthrough results**
**Fundamental, high-risk / high-gain projects with clear objectives and potential for discovery of new phenomena**
**Broader Impacts****  -- integration of research & education, outreach, involvement of underrepresented groups, societal issues**
_**Typical Level of Support**_**:**
**	**** ****1-2 Investigator Regular Grants****	****	****240 - 400k/3yrs**
**	**** ****Small Grants for Exploratory Research****	****30 - 50k/yr (up to 2 yrs)**
**	**** ****CAREER Awards****	****	****	****	****400k /5 yrs****   **
**PIs encouraged to include requests for research instrumentation in regular unsolicited proposals (~50-60k per proposal)**

## Funding Opportunities

_**Special Solicitations**_**:**
** ****Emerging Frontiers in Research and Innovation (EFRI)**
** ****Cyberinfrastructure & Peta-Apps**
** ****Major Research Instrumentation (MRI) Awards**
_**Interactions with Industry:**_
**Grant Opportunities for Academic Liaison with Industry (GOALI)**
_**Educational and Training Grants**_**:**
**Integrative Graduate Education and Research Training (IGERT)**
**Research Experience for Undergraduates (REU)**
**Research Experience for Teachers (RET)**
**Workshops**

## CAREER: Fighting Cardiovascular Disease 

**CAREER: Fighting Cardiovascular Disease **
**by Studying Arterial Flow Dynamics**

**Pavlos P. Vlachos  -  Virginia Tech**

**The designs of the stents used in the experimental study varied greatly between manufacturers. **
**Spatially and temporally averaged wall shear stresses can vary by an order of magnitude.**
***Credit:  Pavlos Vlachos, Virginia Polytechnic and State University***

**CBET - 0547434**

## Wind Wave and Storm Surge Modeling Predictions to Avert Future Natural Disasters, such as Hurricane Katrina

**Wind Wave and Storm Surge Modeling Predictions to Avert Future Natural Disasters, such as Hurricane Katrina**

| 
CAREER: Simulations of Nonlinear Water Waves and 
Air-to-Sea Momentum Fluxes in the Coastal Ocean 

Qin Chen - Louisiana State University & Agricultural and Mechanical College |
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**Modeled maximum surge heights generated by Hurricane Katrina (in feet)**

**CBET-0652859**

**Notes:**
Understanding, modeling, and efficient control of turbulent flows is a major challenge in fluid dynamics, from both scientific and technological points of view. In recent years, Large Eddy Simulation (LES) has rapidly emerged as a leading contender to provide predictions of turbulent flows in both fundamental and practical engineering situations.  The fundamental issue in LES is to accurately represent, via subgrid-scale models, the momentum transport caused by small, unresolved scales, as well as the transport of scalar quantities, such as heat or species concentration.  A major assumption of such LES subgrid models is the universality and isotropy of subgrid-scale (small) motions. Our work is an empirical approach to the problem, in which we utilize wind-tunnel data from multiprobe hot and cold-wire anemometry to measure directly the couplings among large and small scales. 
We have found that, contrary to common wisdom usually quoted for LES, the large coherent structures in turbulent flows, such as the von Karman vortex street vortices (vectors in the figures) have a direct impact upon energy transfer occuring at much smaller scales. Similar findings hold for temperature transport. This finding casts doubts upon the universality of fine-scale structure in turbulence and general applicability of standard eddy-viscosity model (lower left plot). However, we find that subgrid-models predicated upon the scale-invariance of turbulence (right lower plot) are able to realistically reproduce the interscale energy exchange and how it is affected by coherent structures 

## Fluid Mechanics Web Portal for Students

| This image is a sample webpage of the www.eFluids.com website that is used for interactive student learning.
Permission Granted Credit: Courtesy of eFluids.com |
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**Interactive Undergraduate Fluid Dynamics**
**Chris Rogers  -  Tufts University**

**CBET - 0645846**

## Turbulent Mixing

**Cross-section through a turbulent fluid showing**
**the complex and chaotic motions that enhance**
**mixing.**** **

**CBET - 0522089**

**Predictive Turbulence Models for **
**Computational Fluid Dynamics**
**J. Blair Perot - University of Massachusetts Amherst**