A dissipative particle dynamics method for arbitrarily complex geometries
Zhen Li, Xin Bian, Yu-Hang Tang, George Em Karniadakis

TL;DR
This paper introduces a local detection method for dissipative particle dynamics (DPD) that accurately handles arbitrarily complex 3D geometries and moving boundaries without requiring explicit boundary descriptions.
Contribution
The authors develop a boundary detection approach using boundary volume fraction (BVF) for DPD, enabling direct loading of complex geometries from images and supporting moving/deformable boundaries.
Findings
Accurate no-slip boundary conditions achieved in flow simulations.
Method effectively handles complex and moving geometries.
Negligible fluctuations near walls in simulations.
Abstract
We present a local detection method for dissipative particle dynamics (DPD) involving arbitrarily shaped geometric three-dimensional domains. By introducing an indicator variable of boundary volume fraction (BVF) for each fluid particle, the boundary of arbitrary-shape objects is detected on-the-fly for the moving fluid particles using only the local particle configuration. Therefore, this approach eliminates the need of an analytical description of the boundary and geometry of objects in DPD simulations and makes it possible to load the geometry of a system directly from experimental images or computer-aided designs/drawings. Wall penetration is inferred from the value of the BVF and prevented by a predictor-corrector algorithm. The no-slip boundary condition is achieved by employing effective dissipative coefficients for liquid-solid interactions. Quantitative evaluations of the new…
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