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Published December 15, 2013 | Submitted
Journal Article Open

On the coupling between an ideal fluid and immersed particles

Abstract

In this paper, we present finite-dimensional particle-based models for fluids which respect a number of geometric properties of the Euler equations of motion. Specifically, we use Lagrange–Poincaré reduction to understand the coupling between a fluid and a set of Lagrangian particles that are supposed to simulate it. We substitute the use of principal connections in Cendra et al. (2001) [13] with vector field valued interpolations from particle velocity data. The consequence of writing evolution equations in terms of interpolation is two-fold. First, it provides estimates on the error incurred when interpolation is used to derive the evolution of the system. Second, this form of the equations of motion can inspire a family of particle and hybrid particle–spectral methods, where the error analysis is "built in". We also discuss the influence of other parameters attached to the particles, such as shape, orientation, or higher-order deformations, and how they can help us achieve a particle-centric version of Kelvin's circulation theorem.

Additional Information

© 2013 Elsevier B.V. Received 27 August 2012. Received in revised form 29 June 2013. Accepted 12 September 2013. Available online 23 September 2013. Communicated by I. Melbourne. We thank Andrea Bertozzi and David Uminsky for listening to our ideas and educating us on state of the art vortex blob methods. We also thank Chris Anderson, Marcel Oliver, and Melvin Leok for helping us avoid certain common pitfalls which occur when the theoretically minded venture into numerics. We owe special thanks to Darryl D. Holm, Hui Sun, and Joris Vankerschaver for thoughtful discussions and suggestions. Finally, we thank Jerrold E. Marsden, who spent the final years of his life advising the first author with much thought and care. H. Jacobs and M. Desbrun were funded by NSF grant CCF-1011944. T.S. Ratiu was partially supported by a government grant of the Russian Federation for support of research projects implemented by leading scientists, Lomonosov Moscow State University, under agreement No. 11.G34.31.0054 and Swiss NSF grant 200021-140238.

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