Direct numerical simulation of particulate flows with an overset grid method

We evaluate an efficient overset grid method for two-dimensional and three-dimensional particulate flows for small numbers of particles at finite Reynolds number. The rigid particles are discretised using moving overset grids overlaid on a Cartesian background grid. This allows for strongly-enforced boundary conditions and local grid refinement at particle surfaces, thereby accurately capturing the viscous boundary layer at modest computational cost. The incompressible Navier–Stokes equations are solved with a fractional-step scheme which is second-order-accurate in space and time, while the fluid–solid coupling is achieved with a partitioned approach including multiple sub-iterations to increase stability for light, rigid bodies. Through a series of benchmark studies we demonstrate the accuracy and efficiency of this approach compared to other boundary conformal and static grid methods in the literature. In particular, we find that fully resolving boundary layers at particle surfaces is crucial to obtain accurate solutions to many common test cases. With our approach we are able to compute accurate solutions using as little as one third the number of grid points as uniform grid computations in the literature. A detailed convergence study shows a 13-fold decrease in CPU time over a uniform grid test case whilst maintaining comparable solution accuracy.This work was supported by contracts from the U.S. Department of Energy ASCR Applied Math Program under grant AC52-07NA27344; the National Science Foundation under grant DMS-1519934; the Schlumberger Gould Research Centre under grant RG78221; the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science under grant EP/L015552/1

Simulating water-entry/exit problems using Eulerian-Lagrangian and fully-Eulerian fictitious domain methods within the open-source IBAMR library

In this paper we employ two implementations of the fictitious domain (FD) method to simulate water-entry and water-exit problems and demonstrate their ability to simulate practical marine engineering problems. In FD methods, the fluid momentum equation is extended within the solid domain using an additional body force that constrains the structure velocity to be that of a rigid body. Using this formulation, a single set of equations is solved over the entire computational domain. The constraint force is calculated in two distinct ways: one using an Eulerian-Lagrangian framework of the immersed boundary (IB) method and another using a fully-Eulerian approach of the Brinkman penalization (BP) method. Both FSI strategies use the same multiphase flow algorithm that solves the discrete incompressible Navier-Stokes system in conservative form. A consistent transport scheme is employed to advect mass and momentum in the domain, which ensures numerical stability of high density ratio multiphase flows involved in practical marine engineering applications. Example cases of a free falling wedge (straight and inclined) and cylinder are simulated, and the numerical results are compared against benchmark cases in literature.Comment: The current paper builds on arXiv:1901.07892 and re-explains some parts of it for the reader's convenienc

A Partitioned FSI Approach to Study the Interaction between Flexible Membranes and Fluids

The interaction between fluids and structures, which is an interdisciplinary problem, has gained importance in a wide range of scientific and engineering applications. Thanks to new advances in computer technology, the numerical analysis of multiphysics phenomena has aroused growing interest. Fluid-structure interactions have been numerically and experimentally studied by many researchers and published by several books, papers, and review papers. Hou et al. (2012) [3] have also published a review paper entitled “Numerical methods for fluid-structure interaction”, which provides useful knowledge about different approaches for FSI analysis. The key challenge encountered in any numerical FSI analysis is the coupling between the two independent domains with clear distinctions. For example, a structure domain requires discretizing by a Lagrangian mesh where the mesh is fixed to the mass and follows the mass motion. In fact, the Lagrangian mesh is able to deform and follows an individual structural mass as it moves through space and time. Nonetheless, the fluid mesh remains intact within the space, where the fluid flows as time passes. The numerical approaches with regard to FSI phenomena can be divided into two main categories, namely the monolithic approach and the partitioned approach. In the former, a single system equation for the whole problem is solved simultaneously by a unified algorithm; however, in the latter, the fluid and the structure are discretized with their proper mesh and solved separately by different numerical algorithms. When a fluid flow interacts with a structure, the pressure load arising from the fluid flow is exerted on the structure, followed by deformations, stresses, and strains of the structure. Depending on the resulting deformation and the rate of the variations, a one-way or two-way coupling analysis can be conducted. Fluid-structure interaction (FSI) is characterized by the interaction of some movable or deformable structure with an internal or surrounding fluid flow. In a fluid-structure interaction (FSI), the laws that describe fluid dynamics and structural mechanics are coupled. There is also another classification for FSI problems on the basis of mesh methods: conforming methods and non-conforming methods. In the first method, the interface condition is regarded as a physical boundary (interface boundary) moving during the solution time, which imposes the mesh for the fluid domain to be updated in conformity with the new position for the interface. In contrast, the implementation of the second method eliminates a need for the fluid mesh update on the account of the fact that the interface requirement is enforced by constraints on the system equations instead of the physical boundary motion. In this work, we study numerically and experimentally the fluid-structure interaction comprising a flexible slender shaped structure, free surface flow and potentially interacting rigid structures, categorized in flood protection applications, whereas more emphasis is given to numerical analysis. Objectives of this study are defined in detail as follows: The initial aim is the numerical analysis of the behavior of a down-scale membrane loaded by hydrostatic pressures, where the numerical results have to be validated against available experimental data. A further case which has to be investigated is how the full scale flexible flood barrier behaves when approached and impacted by an accelerated massive flotsam. The numerical model has to be built so as to replicate the same physical phenomenon investigated experimentally. It enables a comparison between the numerical and experimental analyses to be drawn. A more complicated case where the flexible down-scale membrane interacts with a propagated water wave is a further target area to study. Moreover, an experimental investigation is required to validate the numerical results by way of comparison. The ultimate goal is to perform a similitude analysis upon which a correlation between the full-scale prototype and the down-scale model can be formed. The implementation of the similarity laws enables the behavior of the full scale prototype to be quantitatively assessed on the basis of the available data for the down-scale model. In addition, in order to validate the accuracy of the similitude analysis, numerical analyses have to be carried out.:Contents Zusammenfassung I ABSTRACT IV Nomenclature X 1 Introduction 1 1.1 Work overview 2 1.2 Literature review 3 1.2.1 The non-conforming methods 6 1.2.2 The conforming (partitioned) approaches 11 1.2.2.1 Interface data transfer 16 1.2.2.2 Accuracy, stability and efficiency 16 1.2.2.3 Modification of interface conditions: Robin transmission conditions 18 1.3 Concluding remarks 19 2 Methodology-numerical methods for fluid-structure interaction analysis (FSI) 20 2.1 Single FV framework 21 2.1.1 The prism layer mesher 24 2.1.2 Turbulence modeling 24 2.2 Preparation of the standalone Abaqus model 27 2.2.1 Damping by bulk viscosity 28 2.2.2 Coulomb friction damping 29 2.2.3 Rayleigh damping 29 2.2.4 Determination of the Rayleigh damping parameters based on the Chowdhury procedure 29 2.2.5 The frequency response function (FRF) measurement 30 2.2.6 The half-power bandwidth method 31 2.3 Explicit partitioned coupling 33 2.4 Implicit partitioned coupling 39 2.5 Overset mesh 40 2.6 Concluding remarks 42 3 Verification and validation of the structural model 44 3.1 Numerical model setup of the down-scale membrane 44 3.2 Comparing similarity between numerical and experimental results 46 3.2.1 Hypothesis test terminology 46 3.2.2 Curve fitting 47 3.2.3 Similarity measures between two curves 48 3.3 Results (down-scale membrane) 52 3.3.1 Similarity tests for the contact length 54 3.3.2 Similarity tests for the slope 58 3.3.3 Similarity tests for the displacement in Y direction 60 3.4 Concluding remarks 63 4 Numerical model setup of the original membrane for impact analysis 66 4.1 Structure domain 67 4.2 Fluid domain 72 4.2.1 Standard mesh and results 74 4.2.2 Overset mesh 80 4.3 Co-simulation model setup and results 88 4.4 Concluding remarks 96 5 Numerical wave generation 100 5.1 Theoretical estimation of the waves 107 5.2 Numerical wave tank setup 110 5.3 Results 114 5.4 Concluding remarks 119 6 Validity of the model with dynamic pressure 121 6.1 Wave tank 123 6.2 Structure domain 127 6.3 Fluid domain 130 6.4 Co-simulation model setup 136 6.5 Experimental approach 137 6.6 Results 141 6.6.1 Similarity tests for the displacement of the membrane in X direction 156 6.6.2 Similarity tests for the displacement of the membrane in Y direction 160 6.6.3 Similarity tests for the displacement of the membrane in Z direction 164 6.7 Concluding remarks 168 7 Similarity 171 7.1 Motivation 171 7.2 Governing equations 174 7.3 Buckingham Pi theorem 175 7.4 Dimensionless numbers 175 Similitude requirement 177 7.5 Simulation setup 178 7.6 Results 179 7.7 Concluding remarks 191 8 Summary, conclusions and outlook 192 List of figures 199 List of tables 209 References 21

Viscoplastic squeeze flow between two identical infinite circular cylinders

Direct numerical simulations of closely interacting infinite circular cylinders in a Bingham fluid are presented, and results compared to asymptotic solutions based on lubrication theory in the gap. Unlike for a Newtonian fluid, the macroscopic flow outside of the gap between the cylinders is shown to have a large effect on the pressure profile within the gap and the resulting lubrication force on the cylinders. The presented results indicate that the asymptotic lubrication solution can be used to predict the lubrication pressure only if the surrounding viscoplastic matrix is yielded by a macroscopic flow. This has implications for the use of subgrid-scale lubrication models in simulations of noncolloidal particulate suspensions in viscoplastic fluids

Effect of interpolation kernels and grid refinement on two way-coupled point-particle simulations

The predictive capability of two way--coupled point-particle Euler-Lagrange model in accurately capturing particle-flow interactions under grid refinement, wherein the particle size can be comparable to the grid size, is systematically evaluated. Two situations are considered, (i) uniform flow over a stationary particle, and (ii) decaying isotropic turbulence laden with Kolmogorov-scale particles. Particle-fluid interactions are modeled using only the standard drag law, typical of large density-ratio systems. A zonal, advection-diffusion-reaction (Zonal-ADR) model is used to obtain the undisturbed fluid velocity needed in the drag closure. Two main types of interpolation kernels, grid-based and particle size--based, are employed. The effect of interpolation kernels on capturing the particle-fluid interactions, kinetic energy, dissipation rate, and particle acceleration statistics are evaluated in detail. It is shown that the interpolation kernels whose width scales with the particle size perform significantly better under grid refinement than kernels whose width scales with the grid size. Convergence with respect to spatial resolution is obtained with the particle size--based kernels with and without correcting for the self-disturbance effect. While the use of particle size--based interpolation kernels provide spatial convergence and perform better than kernels that scale based on grid size, small differences can still be seen in the converged results with and without correcting for the particle self-disturbance. Such differences indicate the need for self-disturbance correction to obtain the best results, especially when the particles are larger than the grid size.Comment: Submitted to International Journal of Multiphase Flo

A hybrid recursive regularized lattice Boltzmann model with overset grids for rotating geometries

Simulating rotating geometries in fluid flows for industrial applications remains a challenging task for general fluid solvers and in particular for the lattice Boltzmann method (LBM) due to inherent stability and accuracy problems. This work proposes an original method based on the widely used overset grids (or Chimera grids) while being integrated with a recent and optimized LBM collision operator, the hybrid recursive regularized model (HRR). The overset grids are used to actualize the rotating geometries where both the rotating and fixed meshes exist simultaneously. In the rotating mesh, the fictitious forces generated from its non-inertial rotating reference frame are taken into account by using a second order discrete forcing term. The fixed and rotating grids communicate with each other through the interpolation of the macroscopic variables. Meanwhile, the HRR collision model is selected to enhance the stability and accuracy properties of the LBM simulations by filtering out redundant higher order non-equilibrium tensors. The robustness of the overset HRR algorithm is assessed on different configurations, undergoing mid-to-high Reynolds number flows, and the method successfully demonstrates its robustness while exhibiting the second order accuracy