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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
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Modeling multiphase flow using fluctuating hydrodynamics.

Anuj Chaudhri1, John B Bell1, Alejandro L Garcia2

  • 1Computational Research Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2014
PubMed
Summary
This summary is machine-generated.

Thermal fluctuations significantly impact multiphase fluid behavior near the critical point. This study develops a fluctuating hydrodynamics model to simulate these effects on domain growth during spinodal decomposition and the piston effect.

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Area of Science:

  • Fluid dynamics
  • Thermodynamics
  • Computational physics

Background:

  • Fluctuating hydrodynamics models mesoscopic fluid behavior where thermal fluctuations are significant.
  • Understanding critical point phenomena is crucial for various physical and chemical processes.

Purpose of the Study:

  • To develop and validate a numerical model for fluctuating hydrodynamics of single-component, multiphase flow near the critical point.
  • To investigate the influence of thermal fluctuations on nonequilibrium phenomena in multiphase systems.

Main Methods:

  • Utilized a compressible flow formulation with a van der Waals equation of state and Korteweg stress.
  • Extended existing fluctuating hydrodynamics algorithms for ideal fluids.
  • Validated the numerical scheme using equilibrium structure factors and capillary wave spectra.

Main Results:

  • The numerical algorithm accurately models multiphase fluid phenomena near the critical point.
  • Equilibrium theory validation confirmed the model's reliability.
  • Demonstrated the algorithm's capability through nonequilibrium simulations.

Conclusions:

  • Thermal fluctuations play a critical role in the size and growth dynamics of domains during off-critical quenches.
  • The developed model provides a robust tool for studying complex multiphase fluid behavior influenced by thermal fluctuations.