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Hydrodynamic interactions for single dissipative-particle-dynamics particles and their clusters and filaments
Wenxiao Pan1, Dmitry A Fedosov, George Em Karniadakis
1Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912 USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2008
Summary
Dissipative particle dynamics (DPD) simulations show that DPD particles in a fluid behave like Langevin particles. This validates DPD for modeling fluid dynamics and particle interactions at low Reynolds numbers.
Area of Science:
- Computational physics
- Fluid dynamics
- Soft matter physics
Background:
- Dissipative particle dynamics (DPD) is a mesoscale simulation method.
- Brownian dynamics models particles in a continuous solvent, assuming Langevin particle behavior.
Purpose of the Study:
- To verify if DPD particles in a DPD fluid mimic Langevin particles in a Newtonian fluid.
- To validate DPD as a tool for low Reynolds number hydrodynamics.
Main Methods:
- DPD simulations of single particles, clusters, and filaments.
- Calculating effective DPD radii using Stokes-Einstein and Stokes laws.
- Analyzing hydrodynamic interactions in various flow conditions.
Main Results:
- Two independent effective DPD radii converge at low Reynolds numbers.
- DPD simulations of rigid bodies agree with continuum Stokes theory.
- DPD captures hydrodynamic interactions in elastic filaments.
Conclusions:
- DPD particles effectively model Langevin particles in a Newtonian solvent.
- DPD is a reliable method for simulating low Reynolds number flows.
- The DPD model accurately represents hydrodynamic interactions in complex systems.
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