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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
Published on: February 22, 2018
Time-dependent and outflow boundary conditions for Dissipative Particle Dynamics
Huan Lei1, Dmitry A Fedosov, George Em Karniadakis
1Division of Applied Mathematics, Brown University, Providence, RI 02912 USA.
We developed new methods for Dissipative Particle Dynamics (DPD) simulations to accurately model fluid behavior at boundaries. These techniques improve simulations of fluid flow in complex systems like blood vessels.
Area of Science:
- Computational fluid dynamics
- Mesoscopic fluid simulations
- Biophysics
Background:
- Accurate boundary condition implementation is crucial for Dissipative Particle Dynamics (DPD) simulations.
- Existing methods often struggle with no-slip conditions at fluid-wall interfaces and outflow boundaries.
- Bridging mesoscopic simulations with continuum mechanics (Navier-Stokes) requires robust boundary treatments.
Purpose of the Study:
- To introduce a novel, simple method for imposing no-slip boundary conditions in DPD fluid systems.
- To develop a force-adaptive outflow boundary condition for fully developed flows.
- To validate these methods against continuum theory and apply them to complex flow scenarios.
Main Methods:
- A velocity-dependent shear force was implemented to enforce no-slip conditions at fluid-wall interfaces, ensuring thermodynamic consistency.
- A force-adaptive method was developed for outflow boundaries, accommodating unspecified velocity profiles or pressures.
- The DPD simulations were compared with Navier-Stokes results for validation.
Main Results:
- The proposed no-slip boundary method is effective for both steady and time-dependent DPD fluid systems.
- The force-adaptive outflow boundary method performs well for fully developed flows and time-dependent systems with Womersley numbers of O(1).
- Simulations of backward-facing step and arterial bifurcation flows demonstrated the utility of the combined boundary methods.
Conclusions:
- The developed methods provide a significant advancement for DPD simulations, enabling more accurate modeling of fluid dynamics.
- These techniques enhance the applicability of DPD to complex engineering and biological systems.
- The study confirms the effectiveness of the boundary conditions in capturing realistic fluid flow phenomena.
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