Vortex Dynamics

Hurricanes, tornadoes, water swirling down a drain are all examples of vortices. Vortices are needed to close the valves at every beat of our heart, to mix fast milk and coffee and they are responsible for bird and airplane flight.

Destroying Aircraft Wakes

An aircraft wake consists of powerful trailing vortices that live long after the airplane has flown by. This potential hazard imposes stringent safety distances, and pose  limiting constraint on airport traffic. We have developed high-performance Navier-Stokes solvers based on a hybrid particle-mesh approach and applied them to the study [1] of a medium-wavelength instability on massively parallel machines.

Simulation of a medium-wavelength instability in a 4-vortex wake: vorticity magnitude.

The Mechanics of Vortex Ring Decay

Vortex rings are one of the archetypal structures of fluid dynamics phenomena ranging from fish swimming to oil drilling. The instability of vortex rings has been the subject of several theoretical and experimental studies. Using massively-parallel direct numerical simulation methods we clarify the three-dimensional vortex dynamics during the nonlinear stage and determine the structure of the wake in the turbulent stage. The availability of the full three-dimensional vorticity field enables us to elucidate the origin and topology of the secondary vortex structures during the nonlinear stage of vortex ring decay.

Secondary vortical structures: Tsai–Widnall ( short wavelength) instability leads to the formation of a dipole which is stretched and convected in the streamwise direction. See “The Secret Life of Vortices” for animations.

The Structure of Vortices for Animal Propulsion

Vortices are shed at every stroke of a fish tail fin or a bird wing. In effect, they are the manifestation of momentum transfer between the swimmer/flyer and the fluid. Recent work by group members studied the relationship between the wake configuration and the swimming mode of eels [2].

Vorticity structures past anguilliform swimmers with optimal efficiency (top) and speed (bottom).

Other projects include flow control and drag reduction through the control of vorticity flux at the wall.

[1] P. Chatelain, A. Curioni, M. Bergdorf, D. Rossinelli, W. Andreoni, and P. Koumoutsakos, “Billion vortex particle direct numerical simulations of aircraft wakes,” Comput. Method. Appl. M., vol. 197, iss. 13-16, p. 1296–1304, 2008.

BibTeX

@article{chatelain2008b,
author = {Philippe Chatelain and Alessandro Curioni and Michael Bergdorf and Diego Rossinelli and Wanda Andreoni and Petros Koumoutsakos},
doi = {10.1016/j.cma.2007.11.016},
journal = {{Comput. Method. Appl. M.}},
month = {feb},
number = {13-16},
pages = {1296--1304},
publisher = {Elsevier {BV}},
title = {Billion vortex particle direct numerical simulations of aircraft wakes},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/chatelain2008b.pdf},
volume = {197},
year = {2008}
}

Abstract

We present the Direct Numerical Simulations of high Reynolds numbers aircraft wakes employing vortex particle methods. The simulations involve a highly efficient implementation of vortex methods on massively parallel computers, enabling unprecedented simulations using billions of particles. The method relies on the Lagrangian discretization of the Navier-Stokes equations in vorticity-velocity form and relies on remeshing of the particles in order to ensure the convergence of the method. The remeshed particle locations are utilized for the computation of the field quantities, the discretization of the differential operators for diffusion and vortex stretching, and the solution of the Poisson equation for the advection velocity field. The method exhibits excellent scalability up to 16k BG/L nodes. The results include unprecedented Direct Numerical Simulations of the onset and the evolution of multiple wavelength instabilities induced by ambient noise in aircraft vortex wakes at Re = 6000. (c) 2007 Elsevier B.V. All rights reserved.
[2] S. Kern and P. Koumoutsakos, “Simulations of optimized anguilliform swimming,” J. Exp. Biol., vol. 209, iss. 24, p. 4841–4857, 2006.

BibTeX

@article{kern2006b,
author = {S. Kern and P. Koumoutsakos},
doi = {10.1242/jeb.02526},
journal = {{J. Exp. Biol.}},
month = {dec},
number = {24},
pages = {4841--4857},
publisher = {The Company of Biologists},
title = {Simulations of optimized anguilliform swimming},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/kern2006b.pdf},
volume = {209},
year = {2006}
}

Abstract

The hydrodynamics of anguilliform swimming motions was investigated using three-dimensional simulations of the fluid flow past a self-propelled body. The motion of the body is not specified a priori, but is instead obtained through an evolutionary algorithm used to optimize the swimming efficiency and the burst swimming speed. The results of the present simulations support the hypothesis that anguilliform swimmers modify their kinematics according to different objectives and provide a quantitative analysis of the swimming motion and the forces experienced by the body. The kinematics of burst swimming is characterized by the large amplitude of the tail undulations while the anterior part of the body remains straight. In contrast, during efficient swimming behavior significant lateral undulation occurs along the entire length of the body. In turn, during burst swimming, the majority of the thrust is generated at the tail, whereas in the efficient swimming mode, in addition to the tail, the middle of the body contributes significantly to the thrust. The burst swimming velocity is 42% higher and the propulsive efficiency is 15% lower than the respective values during efficient swimming. The wake, for both swimming modes, consists largely of a double row of vortex rings with an axis aligned with the swimming direction. The vortex rings are responsible for producing lateral jets of fluid, which has been documented in prior experimental studies. We note that the primary wake vortices are qualitatively similar in both swimming modes except that the wake vortex rings are stronger and relatively more elongated in the fast swimming mode. The present results provide quantitative information of three-dimensional fluid-body interactions that may complement related experimental studies. In addition they enable a detailed quantitative analysis, which may be difficult to obtain experimentally, of the different swimming modes linking the kinematics of the motion with the forces acting on the self-propelled body. Finally, the optimization procedure helps to identify, in a systematic fashion, links between swimming motion and biological function.

People: Philippe Chatelain, Michael Bergdorf, Jens Walther, Babak Hejazialhosseini, Mattia Gazzola
Collaborators: Alessandro Curioni (IBM), Wanda Andreoni (IBM), Prof. Anthony Leonard (Caltech)
Funding: Swiss National Science Foundation, ETH Zürich

Publications

2013

  • W. M. van Rees, M. Gazzola, and P. Koumoutsakos, “Optimal shapes for anguilliform swimmers at intermediate Reynolds numbers,” J. Fluid Mech., vol. 722, 2013.

BibTeX

@article{rees2013a,
author = {Wim M. van Rees and Mattia Gazzola and Petros Koumoutsakos},
doi = {10.1017/jfm.2013.157},
journal = {{J. Fluid Mech.}},
month = {apr},
publisher = {Cambridge University Press ({CUP})},
title = {Optimal shapes for anguilliform swimmers at intermediate {R}eynolds numbers},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/rees2013a.pdf},
volume = {722},
year = {2013}
}

Abstract

We investigate the optimal morphologies for fast and efficient anguilliform swimmers at intermediate Reynolds numbers, by combining an evolution strategy with three-dimensional viscous vortex methods. We show that anguilliform swimmer shapes enable the trapping and subsequent acceleration of regions of fluid transported along the entire body by the midline travelling wave. A sensitivity analysis of the optimal morphological traits identifies that the width thickness in the anterior of the body and the height of the caudal fin are critical factors for both speed and efficiency. The fastest swimmer without a caudal fin, however, still retains 80 % of its speed, showing that the entire body is used to generate thrust. The optimal shapes share several features with naturally occurring morphologies, but their overall appearances differ. This demonstrates that engineered swimmers can outperform biomimetic swimmers for the criteria considered here.

2012

  • M. Gazzola, V. W. M. Rees, and P. Koumoutsakos, “C-start: optimal start of larval fish,” J. Fluid Mech., vol. 698, p. 5–18, 2012.

BibTeX

@article{gazzola2012a,
author = {M. Gazzola and W. M. Van Rees and P. Koumoutsakos},
doi = {10.1017/jfm.2011.558},
journal = {{J. Fluid Mech.}},
month = {feb},
pages = {5--18},
publisher = {Cambridge University Press ({CUP})},
title = {C-start: optimal start of larval fish},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/gazzola2012a.pdf},
volume = {698},
year = {2012}
}

Abstract

We investigate the C-start escape response of larval fish by combining flow simulations using remeshed vortex methods with an evolutionary optimization. We test the hypothesis of the optimality of C-start of larval fish by simulations of larval-shaped, two- and three-dimensional self-propelled swimmers. We optimize for the distance travelled by the swimmer during its initial bout, bounding the shape deformation based on the larval mid-line curvature values observed experimentally. The best motions identified within these bounds are in good agreement with in vivo experiments and show that C-starts do indeed maximize escape distances. Furthermore we found that motions with curvatures beyond the ones experimentally observed for larval fish may result in even larger escape distances. We analyse the flow field and find that the effectiveness of the C-start escape relies on the ability of pronounced C-bent body configurations to trap and accelerate large volumes of fluid, which in turn correlates with large accelerations of the swimmer.

2011

  • M. Gazzola, P. Chatelain, W. M. van Rees, and P. Koumoutsakos, “Simulations of single and multiple swimmers with non-divergence free deforming geometries,” J. Comput. Phys., vol. 230, iss. 19, p. 7093–7114, 2011.

BibTeX

@article{gazzola2011b,
author = {Mattia Gazzola and Philippe Chatelain and Wim M. van Rees and Petros Koumoutsakos},
doi = {10.1016/j.jcp.2011.04.025},
journal = {{J. Comput. Phys.}},
month = {aug},
number = {19},
pages = {7093--7114},
publisher = {Elsevier {BV}},
title = {Simulations of single and multiple swimmers with non-divergence free deforming geometries},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/gazzola2011b.pdf},
volume = {230},
year = {2011}
}

Abstract

We present a vortex particle method coupled with a penalization technique to simulate single and multiple swimmers in an incompressible, viscous flow in two and three dimensions. The proposed algorithm can handle arbitrarily deforming bodies and their corresponding non-divergence free deformation velocity fields. The method is validated on a number of benchmark problems with stationary and moving boundaries. Results include flows of tumbling objects and single and multiple self-propelled swimmers.

  • P. Chatelain, M. Gazzola, S. Kern, and P. Koumoutsakos, “Optimization of aircraft wake alleviation schemes through an evolution strategy,” in High performance computing for computational science – VECPAR 2010, Springer, 2011, p. 210–221.

BibTeX

@incollection{chatelain2011a,
author = {Philippe Chatelain and Mattia Gazzola and Stefan Kern and Petros Koumoutsakos},
booktitle = {High Performance Computing for Computational Science - {VECPAR} 2010},
doi = {10.1007/978-3-642-19328-6_21},
pages = {210--221},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Optimization of Aircraft Wake Alleviation Schemes through an Evolution Strategy},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/chatelain2011a.pdf},
year = {2011}
}

Abstract

We investigate schemes to accelerate the decay of aircraft trailing vortices. These structures are susceptible to several instabilities that lead to their eventual destruction. We employ an Evolution Strategy to design a lift distribution and a lift perturbation scheme that minimize the wake hazard as proposed in [6]. The performance of a scheme is mea- sured as the reduction of the mean rolling moment that would be induced on a following aircraft; it is computed by means of a Direct Numerical Simulation using a parallel vortex particle code. We find a configuration and a perturbation scheme characterized by an intermediate wavelength {λ} {\sim} 4.64, necessary to trigger medium wavelength instabilities between tail and flap vortices and subsequently amplify long wavelength modes.

2008

  • P. Chatelain, A. Curioni, M. Bergdorf, D. Rossinelli, W. Andreoni, and P. Koumoutsakos, “Billion vortex particle direct numerical simulations of aircraft wakes,” Comput. Method. Appl. M., vol. 197, iss. 13-16, p. 1296–1304, 2008.

BibTeX

@article{chatelain2008b,
author = {Philippe Chatelain and Alessandro Curioni and Michael Bergdorf and Diego Rossinelli and Wanda Andreoni and Petros Koumoutsakos},
doi = {10.1016/j.cma.2007.11.016},
journal = {{Comput. Method. Appl. M.}},
month = {feb},
number = {13-16},
pages = {1296--1304},
publisher = {Elsevier {BV}},
title = {Billion vortex particle direct numerical simulations of aircraft wakes},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/chatelain2008b.pdf},
volume = {197},
year = {2008}
}

Abstract

We present the Direct Numerical Simulations of high Reynolds numbers aircraft wakes employing vortex particle methods. The simulations involve a highly efficient implementation of vortex methods on massively parallel computers, enabling unprecedented simulations using billions of particles. The method relies on the Lagrangian discretization of the Navier-Stokes equations in vorticity-velocity form and relies on remeshing of the particles in order to ensure the convergence of the method. The remeshed particle locations are utilized for the computation of the field quantities, the discretization of the differential operators for diffusion and vortex stretching, and the solution of the Poisson equation for the advection velocity field. The method exhibits excellent scalability up to 16k BG/L nodes. The results include unprecedented Direct Numerical Simulations of the onset and the evolution of multiple wavelength instabilities induced by ambient noise in aircraft vortex wakes at Re = 6000. (c) 2007 Elsevier B.V. All rights reserved.

  • K. Fukagata, S. Kern, P. Chatelain, P. Koumoutsakos, and N. Kasagi, “Evolutionary optimization of an anisotropic compliant surface for turbulent friction drag reduction,” J. Turbul., vol. 9, 2008.

BibTeX

@article{fukagata2008a,
author = {Koji Fukagata and Stefan Kern and Philippe Chatelain and Petros Koumoutsakos and Nobuhide Kasagi},
doi = {10.1080/14685240802441126},
journal = {{J. Turbul.}},
publisher = {Informa {UK} Limited},
title = {Evolutionary optimization of an anisotropic compliant surface for turbulent friction drag reduction},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/fukagata2008a.pdf},
volume = {9},
year = {2008}
}

Abstract

Direct numerical simulation (DNS) of the channel {fl}ow with an anisotropic compliant surface is performed in order to investigate its drag reduction effect in a fully developed turbulent {fl}ow. The computational domain is set to be 3{δ} {\texttimes} 2{δ} {\texttimes} 3{δ} , where {δ} is the channel half-width. The surface is passively driven by the pressure and wall-shear stress {fl}uctuations, and the surface velocity provides a boundary condition for the {fl}uid velocity {fi}eld. An evolutionary optimization method (CMA-ES) is used to optimize the parameters of the anisotropic compliant surface. The optimization identi{fi}es several sets of parameters that result in a reduction of the friction drag with a maximum reduction rate of 8%. The primary mechanism for drag reduction is attributed to the decrease of the Reynolds shear stress (RSS) near the wall induced by the kinematics of the surface. The resultant wall motion is a uniform wave traveling downstream. The compliant wall, with the parameters found in the optimization study, is also tested in a computational domain that is doubled in the streamwise direction. The drag, however, is found to increase in the larger computational domain due to excessively large wall-normal velocity {fl}uctuations.

2007

  • M. Bergdorf, P. Koumoutsakos, and A. Leonard, “Direct numerical simulations of vortex rings at Re_Γ= 7500,” J. Fluid Mech., vol. 581, p. 495–505, 2007.

BibTeX

@article{bergdorf2007a,
author = {Bergdorf, Michael and Koumoutsakos, Petros and Leonard, Anthony},
journal = {{J. Fluid Mech.}},
pages = {495--505},
publisher = {Cambridge University Press},
title = {Direct numerical simulations of vortex rings at Re_\Gamma= 7500},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/bergdorf2007a.pdf},
volume = {581},
year = {2007}
}

Abstract

We present direct numerical simulations of the turbulent decay of vortex rings with Re-Gamma = 7500. We analyse the vortex dynamics during the nonlinear stage of the instability along with the structure of the vortex wake during the turbulent stage. These simulations enable the quantification of vorticity dynamics and their correlation with structures from dye visualization and the observations of circulation decay that have been reported in related experimental works. Movies are available with the online version of the paper.

2006

  • S. Kern and P. Koumoutsakos, “Simulations of optimized anguilliform swimming,” J. Exp. Biol., vol. 209, iss. 24, p. 4841–4857, 2006.

BibTeX

@article{kern2006b,
author = {S. Kern and P. Koumoutsakos},
doi = {10.1242/jeb.02526},
journal = {{J. Exp. Biol.}},
month = {dec},
number = {24},
pages = {4841--4857},
publisher = {The Company of Biologists},
title = {Simulations of optimized anguilliform swimming},
url = {https://cse-lab.seas.harvard.edu/files/cse-lab/files/kern2006b.pdf},
volume = {209},
year = {2006}
}

Abstract

The hydrodynamics of anguilliform swimming motions was investigated using three-dimensional simulations of the fluid flow past a self-propelled body. The motion of the body is not specified a priori, but is instead obtained through an evolutionary algorithm used to optimize the swimming efficiency and the burst swimming speed. The results of the present simulations support the hypothesis that anguilliform swimmers modify their kinematics according to different objectives and provide a quantitative analysis of the swimming motion and the forces experienced by the body. The kinematics of burst swimming is characterized by the large amplitude of the tail undulations while the anterior part of the body remains straight. In contrast, during efficient swimming behavior significant lateral undulation occurs along the entire length of the body. In turn, during burst swimming, the majority of the thrust is generated at the tail, whereas in the efficient swimming mode, in addition to the tail, the middle of the body contributes significantly to the thrust. The burst swimming velocity is 42% higher and the propulsive efficiency is 15% lower than the respective values during efficient swimming. The wake, for both swimming modes, consists largely of a double row of vortex rings with an axis aligned with the swimming direction. The vortex rings are responsible for producing lateral jets of fluid, which has been documented in prior experimental studies. We note that the primary wake vortices are qualitatively similar in both swimming modes except that the wake vortex rings are stronger and relatively more elongated in the fast swimming mode. The present results provide quantitative information of three-dimensional fluid-body interactions that may complement related experimental studies. In addition they enable a detailed quantitative analysis, which may be difficult to obtain experimentally, of the different swimming modes linking the kinematics of the motion with the forces acting on the self-propelled body. Finally, the optimization procedure helps to identify, in a systematic fashion, links between swimming motion and biological function.