Multiscale Modeling of Blood Flow: Coupling Finite Elements with Smoothed Dissipative Particle Dynamics

Moreno, Nicolas; Vignal, Philippe; Li, Jun; Calo, Victor M.

doi:10.1016/j.procs.2013.05.442

Cited by 29 publications

(21 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it can be further coupled with a microscopic or continuum solver to further enhance details or gain computational efficiency. Moreno et al (2013) presented a preliminary multiscale approach in which finite elements for the macroscopic NavierStokes equations were coupled with SDPD for biomedical applications. Fine scales were locally resolved with SDPD, while the majority of the domain could be represented by the FE method.…”

Section: Review On Hybrid and Multiscale Smoothed-particle Hydrodynammentioning

confidence: 99%

Progress in particle-based multiscale and hybrid methods for flow applications

Teschner

Könözsy

Jenkins

2016

Microfluid Nanofluid

View full text Add to dashboard Cite

Section: Review On Hybrid and Multiscale Smoothed-particle Hydrodynammentioning

confidence: 99%

Progress in particle-based multiscale and hybrid methods for flow applications

Teschner

Könözsy

Jenkins

2016

Microfluid Nanofluid

View full text Add to dashboard Cite

“…To date, SDPD has been used to simulate a variety of mesoscale hydrodynamic phenomena including simple polymers, 35,36 pinned DNA subjected to shear flow, 37 colloidal particles, 35 the flow of blood, 38 suspensions, 39 and viscoelastic flows. 40 In this method, the domain is composed of a collection of particles or fluid volumes that evolve in time according to equations of motion obtained from a discretization of the fluctuating Navier-Stokes equations based on interpolation theory.…”

Section: Smoothed Dissipative Particle Dynamicsmentioning

confidence: 99%

Hybrid molecular-continuum simulations using smoothed dissipative particle dynamics

Petsev

Leal

Shell

2015

The Journal of Chemical Physics

View full text Add to dashboard Cite

We present a new multiscale simulation methodology for coupling a region with atomistic detail simulated via molecular dynamics (MD) to a numerical solution of the fluctuating Navier-Stokes equations obtained from smoothed dissipative particle dynamics (SDPD). In this approach, chemical potential gradients emerge due to differences in resolution within the total system and are reduced by introducing a pairwise thermodynamic force inside the buffer region between the two domains where particles change from MD to SDPD types. When combined with a multi-resolution SDPD approach, such as the one proposed by Kulkarni et al. [J. Chem. Phys. 138, 234105 (2013)], this method makes it possible to systematically couple atomistic models to arbitrarily coarse continuum domains modeled as SDPD fluids with varying resolution. We test this technique by showing that it correctly reproduces thermodynamic properties across the entire simulation domain for a simple Lennard-Jones fluid. Furthermore, we demonstrate that this approach is also suitable for non-equilibrium problems by applying it to simulations of the start up of shear flow. The robustness of the method is illustrated with two different flow scenarios in which shear forces act in directions parallel and perpendicular to the interface separating the continuum and atomistic domains. In both cases, we obtain the correct transient velocity profile. We also perform a triple-scale shear flow simulation where we include two SDPD regions with different resolutions in addition to a MD domain, illustrating the feasibility of a three-scale coupling.

show abstract

“…The numerical technique was introduced in 2003 by Español and Revenga [1] to remedy some deficiencies of the classical dissipative particle dynamics (DPD) [2][3][4] . Since then, it has been applied successfully to a wide range of problems in microfluidics [5] , nanofluidics [6] , colloidal suspensions [7][8] , blood [9][10] , tethered DNA [11] , and dilute polymeric solutions [12][13][14] . It has also been used for the simulation of fluid mixtures [15][16][17][18] , mesoscopic viscoelastic flows [19] , and multiscale coupling strategies [18,[20][21] .…”

Section: Introductionmentioning

confidence: 99%