Imaging the tangle of turbulence

MIT researchers have illustrated for the first time a convoluted tangle underlying turbulence, which may ultimately help engineers design better planes, cars, submarines and engines.



Researchers have long suspected that there is a hidden but coherent structure underlying turbulence’s messy complexity, but there has been no objective way of identifying it, said MIT research group leader George Haller, professor of mechanical engineering.


‘The fluid mechanics community has not reached a consensus even on an objective definition of a vortex, or whirlpool effect, let alone the definition of structures forming turbulence. The mathematical techniques we have developed give a systematic way to identify the material building blocks of a turbulent flow,’ Haller said.



To picture the skeleton of turbulence, the MIT researchers analysed experimental data obtained from the University of Texas at Austin. The Texas group used water jets to force water from below into a rotating tank of fluid. They seeded the resulting complicated flow with luminescent buoyant particles. When illuminated with a laser, the miniscule polystyrene spheres were visible as they raced around the vortices and jets.



‘Most important to our analysis were the particles’ velocities, which our collaborators obtained by recording the particles’ motion with a high-resolution camera, then using a software tool to figure out which particle moved where in a split second,’ Haller said. ‘This gave us a high-quality map of the whole velocity field of the turbulent flow at each time instance.’



The technical analysis of the velocity field was carried out by MIT mechanical engineering graduate student Manikandan Mathur. Using mathematical tools, Mathur uncovered a convoluted tangle embedded in the flow.



‘With this approach, we isolated the very source of turbulent mixing, not just its effect on dye or smoke as earlier studies did,’ said Mathur.



In turbulent flow, unsteady vortices appear on many scales and interact with each other. The team discovered that the complicated, constantly evolving flow patterns are driven by two competing armies of particles constantly being pulled together and pushed apart.



The researchers identified a complex network of two types of curves formed by two distinct groups of particles. The first type of curve, which the researchers colored red, attracts other fluid particles. At the same time, the second type, colored blue, repels other fluid particles. Both sets of curves evolve with the flow.



The resulting images, which look like dense, tangled masses of blue and red fibers, are snapshots of this constantly deforming structure. ‘The chaotic tangle forms the skeleton of turbulence as fluid is simultaneously attracted to, and repelled by, its different components,’ Haller said.



The MIT researchers call their discovery the ‘Lagrangian skeleton’ of turbulence because their particle-based approach is motivated by the work of 19th-century mathematician Joseph-Louis Lagrange. ‘Lagrange developed mathematical tools still used today for calculating mechanical and fluid motion,’ said Peacock.



Among many applications, the new results promise to aid the early detection of clear air turbulence that causes those unexpected jolts in airplanes. They they may also help control the spread of oceanic pollution.