DESIGNING OPTIMAL SWIMMING MACHINES
Swimming creatures delicately float, dance and swarm, yet they can dart to kill or hurl themselves into safe waters, displaying impressive power and, at the same time, incredible elegance. Their seemingly effortless performances are the result of millions of years of evolution which have refined their shapes, motions and behaviors in order to master the complex interplay between their bodies and the surrounding flow.
We combine theory, numerical simulations, and experiments to advance our understanding of the physical mechanisms underlying locomotion in fluids. Furthermore, numerical simulations are coupled to artificial intelligence techniques and embedded in an optimal design cycle, to identify optimal swimming shapes, patterns and cooperative behaviors given a specified objective such as efficiency or speed.
Gazzola M, Tchieu AA, Alexeev D, de Brauer A, Koumoutsakos P, Learning to school in the presence of hydrodynamic interactions, Journal of Fluid Mechanics, 2016.
Gazzola M, Argentina M, Mahadevan L, Gait and speed selection in slender inertial swimmers, PNAS, 2015.
van Rees WM, Gazzola M, Koumoutsakos P, Optimal morphokinematics for undulatory swimmers at intermediate Reynolds numbers, Journal of Fluid Mechanics, 2015.
Huhn F, van Rees WM, Gazzola M, Rossinelli D, Haller G, Koumoutsakos P, Quantitative flow analysis of swimming dynamics with coherent Lagrangian vortices, Chaos, 2015. _Research_Highlight_ / _Press_
van Rees WM, Gazzola M, Koumoutsakos P, Optimal shapes for anguilliform swimmers at intermediate Reynolds numbers, Journal of Fluid Mechanics, 2013. _Cover_