Simulation numérique adaptative de l'aérodynamique d'insectes avec ailles flexibles / Aerodynamics of insects with flexible wings using adaptive numerical simulations
début année académique 2015-2016
Directeur de thèse :
Nombre de thèses dirigées actuellement :
Co-directeur de thèse éventuel :
Prof. Fritz-Olaf Lehmann ( Institute of Biological Sciences at the University of
Adresse du directeur de thèse :
M2P2 - UMR 7340 - CNRS Aix-Marseille Université, 39, rue Joliot-Curie, 13453 Marseille Cedex 13, FRANCE
Mél : email@example.com
Type de financement :
Mécanique et physique des fluides
Résumé Francais : cf. resumé anglais.
Résumé Anglais : Insects have evolved
solutions for flight which astonish us with their elegance, efficiency
as well as fast and robust control. Only in the past decade our
understanding of flapping flight has advanced such that we can build
machines as small as insects, which are able to lift their body weight
with flapping wings . Experimental and computational studies have
revealed important unsteady aerodynamic effects such as leading edge
vortices due to delayed stall , clap-and-fling or the passive wing
tip reversal  insects use to fly efficiently. While experimental
studies in principle are restricted to the animal’s natural kinematics
and morphology, in computational studies all parameters can be
controlled allowing detailed studies about the influence of special
morphological features or certain details of the kinematics. For better
biomimetic designs, it is necessary to better understand the function of
animals' organs used for flight. Flapping flight research is therefore
an intrinsically multidisciplinary activity, equally important for
biologists and for engineers.
The objective of this project is to develop efficient numerical tools
for the fluid-structure interaction (FSI) in flapping flight. Earlier
studies have demonstrated the usefulness of numerical modelling. Further
progress requires constant improvement of computational techniques. One
on the major recent areas of research is free flight manoeuvring
stability and control, and it is believed that the wings deformation
plays a significant role in these processes. It presents new challenges
to the numerical modelling in terms of efficiency and accuracy.
Therefore, the proposed work focuses on the development of an adaptive
method for numerical simulation of animal free flight with flexible
wings. The new development will be based on our previous work on a
Navier-Stokes solver with volume penalization [4,5,6]. While the fluid
structure interaction can be simulated using the FSI extended volume
penalization method , adaptive grid refinement has yet to be
developed in this context. Our approach to space-time adaptivity will be
based on multiresolution techniques . Validation and application of
the solver will be carried out in collaboration with specialists in
experimental biomechanics, i.e. the group of Professor Fritz-Olaf
Lehmann at the Institute of Biological Sciences at the University of
Rostock, Germany. The thesis is planned to be jointly supervised by the
French and German team (thèse cotutelle franco-allemande).
 D. Lentink, S. R. Jongerius, N. L. Bradshaw (2010): The scalable
design of flapping micro-air vehicles inspired by insect flight. In
Flying insects and robots (pp 185-205). Springer, Berlin.
 C. P. Ellington, C. van den Berg (1996): Leading-edge vortices in
insect flight. Nature 384, 626-630.
 A.J. Bergou, S. Xu, Z.J. Wang (2007). Passive wing pitch reversal in
insect flight. Journal of Fluid Mechanics 591, 321-337.
 T. Engels, D. Kolomenskiy, K. Schneider, J. Sesterhenn (2015).
Numerical simulation of fluid-structure interaction with the volume
penalization method. Journal of Computational Physics 281, 96-115.
 D. Kolomenskiy, H. K. Moffatt, M. Farge and K. Schneider (2011).
Two- and three-dimensional numerical simulations of the clap-fling-sweep
of hovering insects. Journal of Fluids and Structures 27(5-6), 784-791.
 G. Bimbard, D. Kolomenskiy, J. Casas, R. Godoy-Diana (2013). Large
kinematic variability during take-off in butterflies due to varying
relative timing of legs and aerodynamic forces. Journal of Experimental
Biology 216, 3551-3563.
 M.O. Domingues, S.M. Gomes, O. Roussel, K. Schneider (2008). An
adaptive multiresolution scheme with local time stepping for
evolutionary PDEs. Journal of Computational Physics, 227, 3758-3780.
Débouchés : Enseignement supérieur, recherche académique, industrie aéronautique.