2021
DOI: 10.1039/d0sm02210a
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Smoothed profile method for direct numerical simulations of hydrodynamically interacting particles

Abstract: A general method is presented for computing the motions of hydrodynamically interacting particles in various kinds of host fluids for arbitrary Reynolds number. The method follows the standard procedure for...

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Cited by 28 publications
(27 citation statements)
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“…To simulate the dynamics of a swimming system while fully considering the hydrodynamic interactions, we employ the smoothed profile (SP) method [20]. In this method, all boundaries, including both fluid/solid and fluid/fluid boundaries, are considered to possess a finite interfacial thickness ξ.…”
Section: B Smoothed Profile Methodsmentioning
confidence: 99%
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“…To simulate the dynamics of a swimming system while fully considering the hydrodynamic interactions, we employ the smoothed profile (SP) method [20]. In this method, all boundaries, including both fluid/solid and fluid/fluid boundaries, are considered to possess a finite interfacial thickness ξ.…”
Section: B Smoothed Profile Methodsmentioning
confidence: 99%
“…The hydrodynamic forces and torques are given by F H i and N H i , F C i represents direct particle-particle interactions (N C i = 0), and F ext i and N ext i are the external forces and torques, respectively. Detailed descriptions of the SP method and its implementation can be found in our earlier publications [20][21][22][23].…”
Section: B Smoothed Profile Methodsmentioning
confidence: 99%
“…Because of this, Lagrangian points are not used, which is a preferable feature from the computational cost perspective; indeed, this massively simplify the numerical scheme and its parallelisation procedure allowing for fast computation and easy migration towards the rapidly growing graphics processing unit (GPU) computations. The method proposed by Kajishima et al [1] is often classified as immersed body method [6], a class of methods which includes among others the so-called smoothed profile method originally developed by Nakayama and Yamamoto [7,8], and later extended by Luo et al [9]. Apart from the IBM, several other techniques have been proposed and used in the past; among those using a fictitious domain approach, techniques worth mentioning are the distributed Lagrange multiplier method first developed by Glowinski et al [10], where the fluid equations are solved in the whole domain and coupled with the particle ones in a monolithic form, the Physalis method developed by Prosperetti and Oguz [11] where the flow near the surface of a particle is represented by the solution of the Stokes flow, assuming that such flow is dominated by viscous forces even at finite Reynolds number.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a discrete element method (DEM) 5) and a smoothed profile method (SPM) 6) are applied to the particle dispersion estimation. However, their computational load is very high and it is difficult to apply to actual processes.…”
Section: Introductionmentioning
confidence: 99%