Target Lagrangian kinematic simulation for particle-laden flows

Area of Science:

• Fluid dynamics
• Computational physics
• Turbulence modeling

Background:

• Stochastic separated flow models have limitations in synthesizing turbulence structure.
• Accurate simulation of fluid tracer behavior is crucial in many scientific and engineering applications.

Purpose of the Study:

• To introduce and validate a novel target Lagrangian kinematic simulation method.
• To improve the synthesis of turbulence structure in particle-based simulations.
• To compare the new method against existing models and experimental data.

Main Methods:

• Developed a stochastic Lagrangian particle model.
• Constructed particle trajectories using synthetic turbulent-like fields.
• Ensured synthetic fields conform to a target Lagrangian integral timescale.

Main Results:

• The target Lagrangian kinematic simulation method better synthesizes turbulence structure compared to stochastic separated flow models.
• The method successfully recovers expected Lagrangian properties of fluid tracers.
• Observed reproduction of crossing trajectories and continuity effects, matching an experimental benchmark.

Conclusions:

• The target Lagrangian kinematic simulation method offers improved accuracy for simulating turbulence and fluid tracer dynamics.
• This method provides a valuable tool for research requiring precise modeling of turbulent flows.
• The agreement with experimental data validates the efficacy of the proposed simulation technique.