Stochastic Lagrangian Models for Turbulent Flows and PDF Methods

A paper by Stephen B. Pope of Cornell University introduces stochastic Lagrangian models for turbulent flows. It describes basic models for Lagrangian velocity and composition, applied to dispersion from a line source and a lifted turbulent jet flame. The paper also discusses refinements to account for Reynolds-number effects and intermittency, using information from experiments and direct numerical simulations.

Use Cases

• Modeling turbulent reactive flows based on the described probability density function (PDF) methods.
• Simulating dispersion from a line source in grid turbulence using the described stochastic Lagrangian models.
• Analyzing Lagrangian time series from experiments or direct numerical simulations to scrutinize and improve velocity models.
• Studying Reynolds-number effects including intermittency in turbulent flows using the refined models mentioned.

Strengths

• Authored by a recognized expert, Stephen B. Pope, from Cornell University.
• Provides historical perspective and an introduction aimed at nonspecialists, as stated in the description.
• Illustrates the use of models with specific application cases like a lifted turbulent jet flame.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Likely a scholarly paper describing theoretical models and their application.