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Data-Analysis of the Coarse-Grained Velocity Gradient Tensor

POSTER

Abstract

We present the co-evolved statistics of the Lagrangian velocity gradient tensor and material volume, coarse-grained on a range of scales in high fidelity direct numerical simulation data. Defining the velocity gradient tensor over a representation of fluid volume, we obtain a joint dynamical system whose statistical evolution is closely related to a variety of turbulence characteristics, such as: flow topology, deformation of material volume, energy cascade and intermittency. Therefore this analysis searches for commonalities and differences of the joint system that depend on scale. This poster will provide additional technical details on the data-analysis used to enable our machine learning of the coarse-grained velocity gradient tensor.

Presenters

  • Criston M Hyett

    University of Arizona, The University of Arizona

Authors

  • Criston M Hyett

    University of Arizona, The University of Arizona

  • Yifeng Tian

    Los Alamos National Laboratory

  • Michael Chertkov

    University of Arizona

  • Daniel Livescu

    Los Alamos Natl Lab, Los Alamos National Laboratory

  • Mikhail Stepanov

    University of Arizona