Technical Thrust Area

Computational Fluid Dynamics and Fluid-Structure Interaction

Committee 
Chair: John Evans, University of Colorado-Boulder 
Vice-Chair: Jinhui Yan, University of Illinois at Urbana-Champaign
Members-at-Large: Artem Korobenko, University of Calgary
Hugo Casquero, University of Michigan - Dearborn

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Seminar Series

January 28, 2022; 1-2pm CST

Lucy Zhang, Rensselaer Polytechnic Institute
Title: TBD
Abstract: TBD

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February 22, 2022; 1-2pm CST

Arif Masud, University of Illinois at Urbana-Champaign
Title: TBD
Abstract: TBD


 December 9, 2021

Michael Sprague, National Renewable Energy Laboratory
TitlePredictive Simulations of Wind Turbines on Next-Generation Supercomputers
Abstract: In this talk I will describe our team’s effort to create the open-source ExaWind modeling and simulation environment for high-fidelity predictive wind-turbine and wind-plant simulations. Predictive, physics-based high-fidelity computational models, validated with targeted experiments, provide the most efficacious path to understanding wind plant physics and reducing wind plant losses. The ExaWind software stack has three physics solvers: Nalu-Wind, AMR-Wind, and OpenFAST. Nalu-Wind is an unstructured-grid computational-fluid-dynamics (CFD) code that is used to resolve complex geometry and capture thin boundary layers around blades. Nalu-Wind models are embedded in, and two-way coupled to, an AMR-Wind model through overset meshes. AMR-Wind is a structured-grid CFD code with adaptive-mesh-refinement capabilities and is built on the AMReX libraries. OpenFAST is a whole-turbine simulation code, which includes nonlinear blade dynamics, tower dynamics, and control system dynamics. High-performance computing (HPC) is key to high-fidelity wind farm simulations, but HPC is changing rapidly with many supercomputers, like the coming U.S. exascale-class supercomputers, that are relying on graphical processing units (GPUs) for efficiency. I will discuss our results from the Summit supercomputer, which is the second fastest machine in the world, and I will show full turbine simulation results that capture spatial scales spanning eight orders of magnitude.

November 4, 2021

Marilyn Smith, Georgia Tech
TitleHigh-Fidelity Aeroelasticity Simulations for Rotating Systems
Abstract: With the advent of the U.S. military’s Future Vertical Lift program and the surge of civilian applications in unmanned aerial systems (UAS) and Urban/Advanced Air Mobility (U/AAM), the ability to accurately and efficiently analyze the aeromechanics of novel flight vehicle designs with rotating systems has once again become a major focus of research. Rotating systems such as helicopter rotors, tilt rotors and large wind turbines must be both designed and evaluated using aeroelastic predictions where the causal physics are inherently nonlinear. The vertical lift and wind energy communities have developed a range of predictive methods to address these rotating systems. This seminar will discuss current and future methods of aeroelastic predictions using high-fidelity aerodynamics, namely CFD/CSD prediction methods and CFD-based dual-solver hybrid aeroelastic methods. Validation and sensitivity analysis of aeroelastic simulations with temporal- and spatialvariations, such as rotating systems, will also be explored.

October 14, 2021

Tayfun Tezduyar, Rice University
TitleSpace–Time Computational Analysis: From Inception to New Generations
Abstract: Space–Time VMS (ST-VMS) method and its predecessor ST-SUPS have a good track record in computational analysis of complex FSI and moving boundaries and interfaces (MBI). Challenging problems with successful analysis range from spacecraft parachutes to flapping-wing aerodynamics of an actual locust, from ventriclevalve-aorta flow to tire-aerodynamics with actual tire geometry, road contact and tire deformation. When an FSI or MBI problem requires high-resolution representation of boundary layers, methods where the mesh moves to follow the fluid–solid interface meet that requirement. Moving-mesh methods have been practical in more classes of complex problems than commonly thought of. With a number of complementary methods, the ST methods can now do even more. This is an overview of how the ST methods started and how they evolved over the years. It is joint work with Kenji Takizawa, Waseda

September 9, 2021

Yuri Bazilevs, Brown University
Title: Advanced and Practical Fluid-Structure Interaction
Abstract
In this talk I will present the recent breakthroughs in advanced fluid-structure interaction (FSI) modeling that enable the application of what is largely considered by some "academic" methods to accurate and effective simulation of mechanical and structural systems. The presentation will focus on describing the modeling approaches involved and showing several convincing examples/studies from wind energy to air-blast FSI.