{
  "id": "1511.01081",
  "version": "v1",
  "published": "2015-11-03T20:48:53.000Z",
  "updated": "2015-11-03T20:48:53.000Z",
  "title": "A low-dimensional model predicting geometry-dependent dynamics of large-scale coherent structures in turbulence",
  "authors": [
    "Kunlun Bai",
    "Dandan Ji",
    "Eric Brown"
  ],
  "comment": "5 pages, 5 figures",
  "categories": [
    "physics.flu-dyn"
  ],
  "abstract": "We test the ability of a general low-dimensional model for turbulence to predict geometry-dependent dynamics of large-scale coherent structures, such as convection rolls. The model consists of stochastic ordinary differential equations, which are derived as a function of boundary geometry from the Navier-Stokes equations (Brown and Ahlers 2008). We test the model using Rayleigh-B\\'enard convection experiments in a cubic container. The model predicts a new mode in which the alignment of a convection roll switches between diagonals. We observe this mode with a measured switching rate within 30% of the prediction.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2015-11-03T20:48:53.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "low-dimensional model predicting geometry-dependent dynamics",
      "large-scale coherent structures",
      "turbulence",
      "stochastic ordinary differential equations",
      "convection roll"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 5,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}