This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $523,552 to the University of Texas at Austin to develop advanced computational models for simulating complex turbulent fluid flows. The research aims to create reliable, broadly applicable turbulence models for use in Large Eddy Simulation (LES) to enable more practical and accurate simulations across fields like aeronautics, propulsion, power generation, and wind energy. In...
This Project Grant award of $154,994 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research aimed at improving the understanding and predictive capability of pulsatile turbulent flows over rough surfaces. The 5-year project, awarded to the University of Mississippi, will conduct high-resolution numerical simulations, statistical analysis, and physics-based modeling to elucidate the complex flow physics associated with rapidly changing flows, like wind...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $499,993 to the University of Massachusetts to investigate fluid-structure interactions (FSI) between flexible structures and inertial-viscoelastic flow. The goal is to conduct numerical simulations and synergistic experiments to understand the influence of viscoelasticity on the dynamics of flexible structures like flags, sheets, and cantilevered beams in high-Reynolds number flows....
The National Science Foundation (NSF) awarded a $456,872 Project Grant under the Engineering program (CFDA 47.041) to the University of Illinois to conduct research on the role of complex fluids in the flow and instabilities of particle-laden liquids. The project aims to improve the understanding of particle behavior and flow characteristics in complex fluid environments, with applications in areas such as microfluidic devices, inkjet printing, and enhanced oil recovery. The research combines...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $349,999 Project Grant to the University of Texas at Austin to develop reliable Reynolds Averaged Navier-Stokes (RANS) turbulence models that can generalize to complex turbulent flows. The objective is to improve the predictive capabilities of computational fluid dynamics simulations, which have applications in aerospace, automotive, power generation, and wind energy sectors. The approach involves developing...
This $499,624 National Science Foundation project grant supports research at the University of Pittsburgh to develop physics-guided machine learning methods for turbulent flow simulation. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the three-year award aims to advance computational fluid dynamics capabilities. Specifically, the university researchers will create a new deep learning model incorporating physical constraints to reconstruct...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) for $259,701 aims to develop a novel hierarchical adjoint-based data assimilation framework to improve the accuracy and efficiency of turbulence flow modeling and prediction. The key products/services to be delivered include: Development of open-source software tools encapsulating the hierarchical adjoint-based data assimilation (HADA) framework, which will be made available to researchers...
This $220,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to advance the understanding of how soft, deformable particles, such as oil droplets and cells, move through complex environments consisting of narrow constrictions and obstacles. The award to Emory University will systematically investigate the flow of bubbles and droplets through obstacle arrays, studying the effects of particle surface tension, obstacle density, size, and...
This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award, under CFDA 47.041 Engineering, provides $506,803 in funding to The Research Foundation for the State University of New York (RF SUNY) at Binghamton University. The project, titled "CAREER: Multiscale Modeling of Thrombus Formation and its Response to External Loads," aims to advance the understanding of clot (thrombus) formation and its response to blood flow, vessel dilation, and...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $559,751 to the New Jersey Institute of Technology (NJIT) to develop a scalable, open-source platform that leverages smoothed particle hydrodynamics to model complex fluid-structure interaction problems. The award supports the technical objective of creating a hardware-accelerated, parallelized software platform that can simulate...