### Abstract

An important aspect in numerical simulations of particle-laden turbulent flows is the interpolation of the flow field needed for the computation of the Lagrangian trajectories. The accuracy of the interpolation method has direct consequences for the acceleration spectrum of the fluid particles and is therefore also important for the correct evaluation of the hydrodynamic forces for almost neutrally buoyant particles, common in many environmental applications. In order to systematically choose the optimal tradeoff between interpolation accuracy and computational cost we focus on comparing errors: the interpolation error is compared with the discretization error of the flow field. In this way one can prevent unnecessary computations and still retain the accuracy of the turbulent flow simulation. From the analysis a practical method is proposed that enables direct estimation of the interpolation and discretization error from the energy spectrum. The theory is validated by means of direct numerical simulations (DNS) of homogeneous, isotropic turbulence using a spectral code, where the trajectories of fluid tracers are computed using several interpolation methods. We show that B-spline interpolation has the best accuracy given the computational cost. Finally, the optimal interpolation order for the different methods is shown as a function of the resolution of the DNS simulation.

Original language | English |
---|---|

Article number | 043307 |

Pages (from-to) | 043307-1/8 |

Number of pages | 8 |

Journal | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics |

Volume | 87 |

Issue number | 4 |

DOIs | |

Publication status | Published - 2013 |

## Fingerprint Dive into the research topics of 'Optimal interpolation schemes for particle tracking in turbulence'. Together they form a unique fingerprint.

## Cite this

Hinsberg, van, M. A. T., Thije Boonkkamp, ten, J. H. M., Toschi, F., & Clercx, H. J. H. (2013). Optimal interpolation schemes for particle tracking in turbulence.

*Physical Review E - Statistical, Nonlinear, and Soft Matter Physics*,*87*(4), 043307-1/8. [043307]. https://doi.org/10.1103/PhysRevE.87.043307