Fully-developed Wave Turbulence in the Numerical Kinetic Limit
ORAL
Abstract
Wave Turbulence (WT) describes an out-of-equilibrium process in nonlinear wave systems, characterized by inter-scale energy cascades and power-law spectra. Under a few statistical assumptions and in the limits of an infinite domain and small wave amplitude (together, the kinetic limit), a turbulence closure for the evolution of wave action spectrum naturally arises. This closure forms the basis of the widely-adopted weak WT theory. Almost all realistic systems exist outside of the kinetic limit, however, and a quantitative understanding of the WT closure realized in this setting is for the most part lacking.
In this work, we perform a series of high-resolution numerical experiments of fully-developed WT that approximate the kinetic limit. We first compute the full PDFs of instantaneous inter-scale energy flux and dissipation rate. Then, using an interaction-based decomposition of the energy cascade, we quantify the role of resonant interactions in shaping the WT closure. We conclude with a study of stationary spectra and the Kolmogorov constant. At each stage, we draw connections to theoretical predictions.
In this work, we perform a series of high-resolution numerical experiments of fully-developed WT that approximate the kinetic limit. We first compute the full PDFs of instantaneous inter-scale energy flux and dissipation rate. Then, using an interaction-based decomposition of the energy cascade, we quantify the role of resonant interactions in shaping the WT closure. We conclude with a study of stationary spectra and the Kolmogorov constant. At each stage, we draw connections to theoretical predictions.
*This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE 1841052. Also, this work used Bridges-2 at the Pittsburgh Supercomputing Center through allocation phys220115 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.
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Presenters
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Alexander A Hrabski
- Los Alamos National Laboratory
- University of Michigan