Computational fluid dynamics | Numerical differential equations

Stochastic Eulerian Lagrangian method

In computational fluid dynamics, the Stochastic Eulerian Lagrangian Method (SELM) is an approach to capture essential features of fluid-structure interactions subject to thermal fluctuations while introducing approximations which facilitate analysis and the development of tractable numerical methods. SELM is a hybrid approach utilizing an Eulerian description for the continuum hydrodynamic fields and a Lagrangian description for elastic structures. Thermal fluctuations are introduced through stochastic driving fields. The SELM fluid-structure equations typically used are The pressure p is determined by the incompressibility condition for the fluid The operators couple the Eulerian and Lagrangian degrees of freedom. The denote the composite vectors of the full set of Lagrangian coordinates for the structures. The is the potential energy for a configuration of the structures. The are stochastic driving fields accounting for thermal fluctuations. The are Lagrange multipliers imposing constraints, such as local rigid body deformations. To ensure that dissipation occurs only through the coupling and not as a consequence of the interconversion by the operators the following adjoint conditions are imposed Thermal fluctuations are introduced through Gaussian random fields with mean zero and the covariance structure To obtain simplified descriptions and efficient numerical methods, approximations in various limiting physical regimes have been considered to remove dynamics on small time-scales or inertial degrees of freedom. In different limiting regimes, the SELM framework can be related to the immersed boundary method, , and . The SELM approach has been shown to yield stochastic fluid-structure dynamics that are consistent with statistical mechanics. In particular, the SELM dynamics have been shown to satisfy for the . Different types of coupling operators have also been introduced allowing for descriptions of structures involving generalized coordinates and additional translational or rotational degrees of freedom. (Wikipedia).

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From playlist Differential Equations

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From playlist Summer of Math Exposition 2 videos

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From playlist Particle Physics

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From playlist Lagrange multipliers

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Jack Xin: "Lagrangian Approximations and Computations of Effective Diffusivities and Front Speed..."

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From playlist Advanced Calculus / Multivariable Calculus

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From playlist Multivariable Calculus

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From playlist Mathematics

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From playlist Several Variable Calculus / Vector Calculus

Related pages

Computational fluid dynamics | Level-set method | Immersed boundary method | Volume of fluid method | Lagrange multiplier | Marker-and-cell method