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Computational methods for coherent sets and coherent transport

Computational methods for coherent sets and coherent transport
相干集和相干传输的计算方法
批准号:
316201505
负责人:
Professor Dr. Oliver Junge
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2016
资助国家:
德国
项目状态:
已结题
起止时间:
2015-12-31 至 2019-12-31

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中文摘要
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英文摘要
Long living superstructures in turbulent fluids may be characterized as so-called (Lagrangian) coherent sets of the underlying time-dependent velocity field. These sets can be computed elegantly as sublevel sets of eigenfunctions of a certain linear operator, the transfer operator. Traditionally, the discretization of this operator has been based on the computation of a large number of Lagrangian trajectories and low order ansatz functions in space, resulting in rather expensive computations for even moderate accuracy and small problems. Recently, techniques have been proposed which use high-order ansatz functions and a direct time integration of the associated Fokker-Planck equation. This approach allows to compute Lagrangian coherent sets without computing Lagrangian trajectories. However, these methods are not yet applicable to 3D turbulent fluid flows which require a high spatial resolution.Within this project, in order to detect superstructures effectively and rapidly, we are going to develop new numerical techniques for a fast and reliable discretization of the transfer operator eigenproblem. This in turn will allow to predict the emergence or bifurcation of superstructures and potentially allow for short-term forecasts of extreme events. In order to quantify the fluxes of mass, heat and momentum across interfaces, we will further develop a new set-oriented methodology of transport in general 3D flows from the Lagrangian viewpoint, including a fast numerical implementation.
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Development of set-oriented numerical methods for the rigorous global analysis of dynamical systems
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data