Purdue Researchers Simulate Turbulence to Aid Aircraft Design

To help design aircraft that can better maneuver in extreme situations, Purdue University researchers have developed Coherent-vorticity-Preserving Large-Eddy Simulation (CvP-LES), a modeling approach that simulates the entire process of a vortex collision at a reduced computational time. This physics knowledge gained from the model can then be incorporated into engineering design codes so that the aircraft responds appropriately during a vortex collision.

The simulations that aircraft designers currently use capture only a portion of vortex collision events and require extensive data processing on a supercomputer. Not being able to easily simulate everything that happens when vortices collide has limited aircraft designs. With more realistic and complete simulations, engineers could design aircraft such as fighter jets capable of more abrupt maneuvers or helicopters that can land more safely on aircraft carriers, the researchers said.

“Aircraft in extreme conditions cannot rely on simple modeling,” said Carlo Scalo, a Purdue associate professor of mechanical engineering with a courtesy appointment in aeronautics and astronautics. “Just to troubleshoot some of these calculations can take running them on a thousand processors for a month. You need faster computation to do aircraft design.”

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“The CvP-LES model is capable of capturing super complex physics without having to wait a month on a supercomputer because it already incorporates knowledge of the physics that extreme-scale computations would have to meticulously reproduce,” Scalo said.

Former Purdue postdoctoral researcher Jean-Baptiste Chapelier led the two-year process of building the model. Xinran Zhao, another Purdue postdoctoral researcher on the project, conducted complex, large-scale computations to prove that the model is accurate. These computations allowed the researchers to create a more detailed representation of the problem.

Building off of this groundwork, the researchers applied the CvP-LES model to the collision events of two vortex tubes called trefoil knotted vortices that are known to trail the wings of a plane and “dance” when they reconnect.

“When vortices collide, there’s a clash that creates a lot of turbulence. It’s very hard computationally to simulate because you have an intense localized event that happens between two structures that look pretty innocent and uneventful until they collide,” Scalo said.

Using the Brown supercomputer at Purdue for mid-size computations and Department of Defense facilities for large-scale computations, the team processed data on the thousands of events that take place when these vortices dance and built that physics knowledge into the model. They then used their turbulence model to simulate the entire collision dance.

Engineers could run the ready-made model to simulate vortices over any length of time to best resemble what happens around an aircraft, Scalo said. Physicists could also shrink the model down for fluid dynamics experiments.

“The thing that’s really clever about Dr. Scalo’s approach is that it uses information about the flow physics to decide the best tactic for computing the flow physics,” said Matthew Munson, program manager for Fluid Dynamics at the Army Research Office, an element of the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory.

“It’s a smart strategy because it makes the solution method applicable to a wider variety of regimes than many other approaches. There is enormous potential for this to have a real impact on the design of vehicle platforms and weapons systems that will allow our soldiers to successfully accomplish their missions.”

Scalo’s team will use Purdue’s newest community cluster supercomputer, Bell, to continue its investigation of complex vortical flows. The team also is working with the Department of Defense to apply the CvP-LES model to large-scale test cases pertaining to rotorcrafts such as helicopters.

“If you’re able to accurately simulate the thousands of events in flow like those coming from a helicopter blade, you could engineer much more complex systems,” Scalo said.

This work was supported by the Army Research Office’s Young Investigator Program under award. The researchers also acknowledge the support of the Rosen Center for Advanced Computing at Purdue, and the U.S. Air Force Research Laboratory Department of Defense Supercomputing Resource Center.