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STICKS - Stochastic Mikado Flows for Fluid Mechanics

STICKS - Stochastic Mikado Flows for Fluid Mechanics
STICKS - 流体力学的随机 Mikado 流
批准号:
507913792
负责人:
Dr. Andre Schenke
金额:
$0.0万
依托单位国家:
德国
项目类别:
WBP Fellowship
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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英文摘要
Fluid dynamics and turbulence play an extraordinarily important role in science and technology, with applications ranging from engineering to climatology and astrophysics. The partial differential equations (PDEs) that model the flow of fluids give rise to several paradoxical, weak solutions. For example, a weak solution could start at a complete rest, then suddenly start to move in a most irregular fashion, only to fall completely quiet again in the end. This kind of irregular behaviour clearly violates the fundamental conservation of energy and is conjectured to be important in the formation of turbulence, where it is known as anomalous dissipation. It has been the subject of intense research in the last two decades, leading recently to a mathematically rigorous proof of the so-called Onsager conjecture that gives a precise description of how smooth a flow has to be in order to be energy-preserving. The proof of this conjecture used a much older theory called convex integration, pioneered by Nobel and Abel laureate John F. Nash and Abel laureate Mikhael L. Gromov.More recently, these techniques have been applied by several groups to stochastic PDEs which model flows subjected to numerical, empirical and physical uncertainties, and which have recently become very popular in the wake of Martin Hairer's Fields Medal, where convex integration led to similarly spectacular results as in the deterministic case.In this project, we will investigate several stochastic PDE models from fluid dynamics and plasma physics and study their anomalous dissipation properties via the theory of convex integration. More precisely, we will study transport equations, Euler equations and magnetohydrodynamic (MHD) equations, subject to random perturbations.The project will be spent in Prof. Vlad Vicol's group at Courant Institute of Mathematical Sciences, New York. We will develop a mathematical theory of stochastic Mikado flows as key building blocks in convex integration and apply it to the above-mentioned systems, aiming to get nonuniqueness results for solutions to these equations.
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究