Un large spectre d’applications en ingénierie est concerné par les écoulements de fluides en interaction avec des structures poreuses, allant de problèmes à petite échelle jusqu’à des problématiques de plus grande échelle. Ces structures poreuses, souvent à géométries complexes, peuvent se déplacer ou se déformer en réponse au forçage exercé par l’écoulement environnant.Le but de ce travail est de proposer un modèle numérique pour la simulation macroscopique d’écoulements de fluide interagissant avec des milieux poreux mobiles à géométries complexes, qui soit facile d’implémentation et pouvant être utilisé dans une large gamme d’applications. Pour atteindre cet objectif, la méthode de Lattice Boltzmann est utilisée pour résoudre l’écoulement dans des milieux poreux à l’échelle d’un volume représentatif élémentaire. Pour l’implémentation du mouvement désiré, le concept de frontières immergées est adopté. Dans ce contexte, un nouveau modèle est proposé pour traiter des milieux poreux en volume, dont la résistance à l’écoulement environnant est modélisé par la loi de Brinkman-Forchheimer-Darcy étendue.L’algorithme est d’abord testé sur l’écoulement à travers un cylindre fixe. La simplicité de ce cas test académique permet de caractériser finement la précision de la méthode. Le modèle est ensuite utilisé pour simuler des écoulements de fluide autour et à travers des corps poreux mobiles, à la fois pour des géométries confinées et pour des écoulements ouverts. L’invariance Galiléenne des équations moyennées macroscopiques gouvernant la dynamique du fluide est démontrée. D’excellents accords avec les résultats de référence sont obtenus pour les différents cas testés. / A wide spectrum of engineering problems is concerned with fluid flows in interaction with porous structures, ranging from small length-scale problems to large ones. These structures, often of complex geometry, may move/deform in response to the forces exerted by the surrounding flow. Despite the advancements in computational fluid dynamics, the numerical simulation of such configurations - a valuable tool for the study of the flow physics involved - remains a challenging task.The aim of the present work is to propose a numerical model for the macroscopic simulation of fluid flows interacting with moving porous media of complex geometry, that is easy to implement and can be used in a range of applications. To achieve this, the Lattice Boltzmann method is employed for solving the flow in porous media at the representative elementary volume scale. For the implementation of the desired body motion, the concept of the Immersed Boundary method is adopted. In this context, a novel model is proposed for dealing with moving volumetric porous media, whose resistance to the surrounding flow obeys the Brinkman-Forchheimer-extended Darcy law. The algorithm is initially tested for flow past a static cylinder. The simplicity of this academic test case allows us to assess in detail the accuracy of the proposed method. The model is later used to simulate fluid flows around and through moving porous bodies, both in a confined geometry and in open space. We are able to demonstrate the Galilean invariance of the macroscopic volume-averaged flow governing equations. Excellent agreement with reference results is obtained in all cases.

The objective of this work is to develop a novel 3-D biological particulate dynamics framework to simulate blood flow in the micro circulation. This entails the amalgamation of concepts from various fields namely blood flow dynamics, solid mechanics, fluid-structure interaction and computational data structures. It is envisioned that this project will serve as a harbinger for implementing a multi-scale simulation model with applications in a vast array of situations from blood flows in heart valves to studying cancer metastasis. The primary motivation for this work stems from the need for establishing a simple, effective and holistic framework for performing blood flow simulations, taking into account the extremely 3-D nature of flow, the particle interactions and fluid structure interaction between blood and its constituent elements. Many current models to simulate blood cells rely on finite element methods which render large scale simulations extremely computationally intensive. The development of a framework for simulating blood flow is tied together with achieving a framework for performing an investigation of cancer metastasis. Cancer initially develops at a primary site and spreads through the body to secondary sites using the circulatory systems of the body - the blood circulatory system and the lymphatic system. It is known that all the cancer cells that enter into the circulation do not survive the harsh environment, though the exact cause of this is still undetermined. Moreover, the mechanical properties of cancer cells are not well documented and appropriate computational models require that experiments be conducted to determine the same. Thus the end goal of this work is to establish a system to analyze and simulate 3-D blood particulate dynamics, including cancer cells, from a holistic standpoint in order to understand more about the phenomenon of blood flow as a whole, and cancer metastasis in particular.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第18271号 / 工博第3863号 / 新制||工||1592(附属図書館) / 31129 / 京都大学大学院工学研究科航空宇宙工学専攻 / (主査)教授 稲室 隆二, 教授 泉田 啓, 教授 青木 一生 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

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Knowledge of the detailed flow dynamics at the interior of branching corals is critical for a full understanding of nutrient uptake, mass transport, wave dissipation, and other essential processes. These physiological processes depend on the local velocity field, local concentration gradients of nutrients and waste, and the turbulent stresses developed on and above the coral surface. Though the large-scale hydrodynamics over coral reefs are well studied, the interior hydrodynamics, between the branches, remains uncharacterized due to limited optical and acoustic access to the interior. In the current thesis, a three-dimensional immersed boundary method in the large eddy simulation framework was used to compute the flow inside several branching coral colony geometries in order to study the effects of branch density and surface structure on the flow fields in the coral interiors. Two different Pocillopora colony species were studied at different Reynolds numbers. A ray-tracing algorithm was used for capturing the arbitrary branches of these complex geometries to obtain the three-dimensional flow fields within these colonies for the first time. The analysis showed the formation of vortices at the colony interior that stir the water column and thus passively enhance mass transport, compensating for the reduced mean velocity magnitude compared to the free stream value, within the densely branched Pocillopora meandrina colony. Further analysis showed that the mean streamwise velocity profile changes shape along the streamwise direction inside P. meandrina, whereas the mean velocity profile did not change shape from the front to the back for the loosely branched Pocillopora colony, Pocillopora eydouxi. Moreover, turbulent flow field quantities were computed for both these structures, and for two almost identical Montipora capitata colony geometries, one with, and one without roughness elements called verrucae. The analyses demonstrated significant differences in the mean velocity profiles, Reynolds stress, and other flow quantities with changes in colony branch density and surface structure. / Doctor of Philosophy / Coral reefs are the largest marine ecosystem, and play a critical role in protecting coastal areas against flooding and erosion. The majority of the world's corals are currently under threat from rising ocean temperatures, which disrupt the symbiotic relationship between the coral polyp and its symbiont algae causing coral bleaching. Bleaching involves processes mediated by the flow at the coral surface, but relatively little is known regarding the local flow dynamics between the branches of coral reefs. The current research seeks to characterize internal coral hydrodynamics, leading to insights about many critical physiological and other processes in corals, like drag formation, mixing, and mass or nutrient transport to and from the coral. In the current study, the influence of the coral branch density and surface structure on the resulting interbranch flow field were investigated by simulating the flow resulting from uniform oncoming ocean flow conditions using three-dimensional immersed boundary large eddy simulations. The detailed velocity and pressure fields were found throughout the interior of the colonies studied. A distinct mass transport mechanism was found inside one densely branched colony studied. For this coral, Pocillopora meandrina, the flow speed reduces substantially inside the coral because of the high branch density. But corals depend on the ocean flow to bring nutrients to the polyps on their surface. We found that P. meandrina sheds hundreds of small vortices from its branches, which stir the overlying water column, increasing the mass transport rate, and compensating almost exactly for the reduced flow in the interior. The study also included computing the flow through three other coral colony geometries, and comparisons of their mean velocity profiles and turbulent flow statistics in order to examine the impact of the colony branch density and surface structures on the resulting hydrodynamic flow field. The current investigation of coral hydrodynamics may lead to an increased understanding of coral health and physiological activity, and may help in designing effective interventions for the challenges facing corals, which could have impacts in the fields of coral restoration, coastal protection, and public policy in the United States and abroad.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第21753号 / 工博第4570号 / 新制||工||1712(附属図書館) / 京都大学大学院工学研究科機械理工学専攻 / (主査)教授 西脇 眞二, 教授 松原 厚, 教授 黒瀬 良一 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

The present thesis focuses on evaluating a conjugate heat transfer (CHT) simulation in a ribbed cooling passage with a fully developed flow assumption using LES with the immersed boundary method (IBM-LES-CHT). The IBM with the LES model (IBM-LES) and the IBM with CHT boundary condition (IBM-CHT) frameworks are validated prior to the main simulations by simulating purely convective heat transfer (iso-flux) in the ribbed duct, and a developing laminar boundary layer flow over a two-dimensional flat plate with heat conduction, respectively. For the main conjugate simulations, a ribbed duct geometry with a blockage ratio of 0.3 is simulated at a bulk Reynolds number of 10,000 with a conjugate boundary condition applied to the rib surface. The nominal Biot number is kept at 1, which is similar to the comparative experiment. As a means to overcome a large time scale disparity between the fluid and the solid regions, the use of a high artificial solid thermal diffusivity is compared to the physical diffusivity. It is shown that while the diffusivity impacts the instantaneous fluctuations in temperature, heat transfer and Nusselt numbers, it has an insignificantly small effect on the mean Nusselt number. The comparison between the IBM-LES-CHT and iso-flux simulations shows that the iso-flux case predicts higher local Nusselt numbers at the back face of the rib. Furthermore, the local Nusselt number augmentation ratio (EF) predicted by IBM-LES-CHT is compared to the body fitted grid (BFG) simulation, experiment and another LES conjugate simulation. Even though there is a mismatch between IBM-LES-CHT prediction and other studies at the front face of the rib, the area-averaged EF compares reasonably well in other regions between IBM-LES-CHT prediction and the comparative studies. / Master of Science / The present thesis focuses on the computational study of the conjugate heat transfer (CHT) investigation on the turbine internal ribbed cooling channel. Plenty of prior research on turbine internal cooling channel have been conducted by considering only the convective heat transfer at the wall, which assumes an iso-flux (constant heat flux) boundary condition at the surface. However, applying an iso-flux condition on the surface is far from the realistic heat transfer mechanism occurring in internal cooling systems. In this work, a conjugate heat transfer analysis of the cooling channel, which considers both the conduction within the solid wall and the convection at the ribbed inner wall surface, is conducted for more realistic heat transfer coefficient prediction at the inner ribbed wall. For the simulation, the computational mesh is generated by the immersed boundary method (IBM), which can ease the mesh generation by simply immersing the CAD geometry into the background volume grid. The IBM is combined with the conjugate boundary condition to simulate the internal ribbed cooling channel. The conjugate simulation is compared with the experimental data and another computational study for the validation. Even though there are some discrepancy between the IBM simulation and other comparative studies, overall results are in good agreement. From the thermal prediction comparison between the iso-flux case and the conjugate case v using the IBM, it is found that the heat transfer predicted by the conjugate case is different from the iso-flux case by more than 40 percent at the rib back face. The present study shows the potential of the IBM framework with the conjugate boundary condition for more complicated geometry, such as full turbine blade model with external and internal cooling system.

Gas-solid flow is fundamental to many industrial processes. Extensive experimental and numerical studies have been devoted to understand the interphase momentum and heat transfer in these systems. Most of the studies have focused on spherical particle shapes, however, in most natural and industrial processes, the particle shape is seldom spherical. In fact, particle shape is one of the important parameters that can have a significant impact on momentum, heat and mass transfer, which are fundamental to all processes. In this study particle-resolved simulations are performed to study momentum and heat transfer in flow through a fixed random assembly of ellipsoidal particles with sphericity of 0.887. The incompressible Navier-Stokes equations are solved using the Immersed Boundary Method (IBM). A Framework for generating particle assembly is developed using physics engine PhysX. High-order boundary conditions are developed for immersed boundary method to resolve the heat transfer in the vicinity of fluid/particle boundary with better accuracy. A complete framework using particle-resolved simulation study assembly of particles with any shape is developed. The drag force of spherical particles and ellipsoid particles are investigated. Available correlations are evaluated based on simulation results and recommendations are made regarding the best combinations. The heat transfer in assembly of ellipsoidal particle is investigated, and a correlation is proposed for the particle shape studied. The lift force, lateral force and torque of ellipsoid particles in assembly and their variations are quantitatively presented and it is shown that under certain conditions these forces and torques cannot be neglected as is done in the larger literature. / Ph. D. / Gas-solid flow is fundamental to many industrial processes such as pollution control, CO2 capture, biomass gasification, chemical reactors, sprays, pneumatic conveying, etc. Extensive experimental and numerical studies have been devoted to understand the interphase momentum and heat transfer in these systems. Most of the studies have focused on spherical particle shapes, however, in most natural and industrial processes, the particle shape is seldom spherical. In fact, particle shape is one of the important parameters that can have a significant impact on momentum, heat and mass transfer, which are fundamental to all processes. In this study particle-resolved simulations are performed to study momentum and heat transfer in flow through a fixed random assembly of ellipsoidal particles. A Framework for generating particle assembly is developed using physics engine—PhysX. A complete framework using particle-resolved simulation study assembly of particles with any shape is developed. The drag force of spherical particles and ellipsoidal particles are investigated. Available correlations are evaluated based on simulation results and recommendations are made regarding the best combinations. The heat transfer in assembly of ellipsoidal particle is investigated, and a correlation is proposed for the particle shape studied. The lift force, lateral force and torque of ellipsoidal particles in assembly and their variations are quantitatively presented and it is shown that under certain conditions these forces and torques cannot be neglected as is done in the larger literature. The framework developed in this work can be used to study the heat and momentum transfer in flow with spherical and non-spherical particles. With data collected using this method, more accurate drag and heat transfer models can be developed for fluid-particle system.

The delivery of drugs into solid tumors is not trivial due to obstructions in the tumor microenvironment. Innovative drug delivery vehicles are currently being designed to overcome this challenge. In this research, computational fluid dynamics (CFD) simulations were used to evaluate the behavior of several drug delivery vectors in tumor capillaries—specifically motile bacteria, non-motile bacteria, and nanoparticles. Red blood cells, bacteria, and nanoparticles were imposed in the flow using the immersed boundary method. A human capillary model was developed using a novel method of handling deformable red blood cells (RBC). The capillary model was validated with experimental data from the literature. A stochastic model of bacteria motility was defined based on experimentally observed run and tumble behavior. The capillary and bacteria models were combined to simulate the intracapillary transport of bacteria. Non-motile bacteria and nanoparticles of 200 nm, 300 nm, and 405 nm were also simulated in capillary flow for comparison to motile bacteria. Motile bacteria tended to swim into the plasma layer near the capillary wall, while non-motile bacteria tended to get caught in the bolus flow between the RBCs. The nanoparticles were more impacted by Brownian motion and small scale fluid fluctuations, so they did not trend toward a single region of the flow. Motile bacteria were found to have the longest residence time in a 1 mm long capillary as well as the highest average radial velocity. This suggests motile bacteria may enter the interstitium at a higher rate than non-motile bacteria or nanoparticles of diameters between 200–405 nm. / Master of Science / The last 50 years have brought significant advancements in cancer treatment. Despite progress, cancer still remains one of the leading causes of death. In 2016, an estimated 1.7 million new cases of cancer will be diagnosed, and nearly 600,000 people will die from the disease in the United States alone. This is due to numerous unsolved challenges in the field of cancer research. The present study looks at one of these challenges—specially the delivery of drugs into a solid tumor. Several biological factors prohibit chemotherapy drugs from fully penetrating tumors. This prevents the drugs from completely killing the cancer, and can lead to ineffective treatment or recurrence. Innovative new techniques to help drugs better penetrate tumors are under development. One such technique is to harness bacteria to carry drugs inside of tumors. The goal of the present research is to evaluate the behavior of drug carrying bacteria with computer simulations. Blood vessels carry things in and out of tumors. The smallest blood vessels, the capillaries, are the location at which bacteria enter the tumor. The computer simulations found potential for swimming bacteria to enter the tumor at greater rates than other methods of drug delivery. Behavior of bacteria in capillaries is important, but just one of many aspects of this treatment strategy so research is ongoing. Beyond the simulations run for this study, the computer software developed during this project could also have other applications in engineering and biology research.

In meshfree methods, partial differential equations are solved on an unstructured cloud of points distributed throughout the computational domain. In collocated meshfree methods, the differential operators are directly approximated at each grid point based on a local cloud of neighboring points. The set of neighboring nodes used to construct the local approximation is determined using a variable search radius. The variable search radius establishes an implicit nodal connectivity and hence a mesh is not required. As a result, meshfree methods have the potential flexibility to handle problem sets where the computational grid may undergo large deformations as well as where the grid may need to undergo adaptive refinement. In this work we develop the sharp interface formulation of the immersed boundary method for collocated meshfree approximations. We use the framework to implement three meshfree methods: General Finite Differences (GFD), Smoothed Particle Hydrodynamics (SPH), and Moving Least Squares (MLS). We evaluate the numerical accuracy and convergence rate of these methods by solving the 2D Poisson equation. We demonstrate that GFD is computationally more efficient than MLS and show that its accuracy is superior to a popular corrected form of SPH and comparable to MLS. We then use GFD to solve several canonic steady state fluid flow problems on meshfree grids generated using uniform and variable radii Poisson disk algorithm.