Computer-generated imagery is ubiquitous in today's society, appearing in advertisements, video games, and computer-animated movies among other places. Much of this imagery needs to be as realistic as possible, and animators have turned to techniques such as fluid simulation to create scenes involving substances like smoke, fire, and water. The Lattice-Boltzmann Method (LBM) is one fluid simulation technique that has gained recent popularity due to its relatively simple basic algorithm and the ease with which it can be distributed across multiple processors. Unfortunately, current LBM simulations also suffer from high memory usage and restrict free surface fluids to domains of fixed size. This thesis modifies the LBM to utilize a recursive run-length-encoded (RLE) grid data structure instead of the standard fixed array of grid cells, which reduces the amount of memory required for LBM simulations as well as allowing the domain to grow and shrink as necessary to accomodate a liquid surface. The modified LBM is implemented within the open-source 3D animation package Blender and compared to Blender's current LBM simulator using the metrics of memory usage and time required to complete a given simulation. Results show that, although the RLE-based simulator can take several times longer than the current simulator to complete a given simulation, the memory usage is significantly reduced, making an RLE-based simulation preferable in a few specific circumstances.

Physiological muscle adaptations due to resistance training are still not fully known. The rate and area of hypertrophy could drastically help or hinder athletic performance. The purpose of this study was to observe the changes in lean body mass (and related factors), relative allometrically scaled strength and absolute strength through an 11-week block periodized resistance training program. The subjects (n = 15) realized an increase in total body water (pre = 49.77Kg; post = 51.70Kg), lean body mass (pre = 67.98Kg; post = 70.63Kg), adjusted lean body mass (pre = 20.35Kg; post = 21.03Kg) and cross sectional area (pre = 32.73 cm2; post = 36.33cm2). Subjects (n= 15) were divided into either a strong (1 RM ≥ 1.75x body weight), moderate (1 RM = ≥ 1.25-1.74x body weight), or weak (1 RM < 1.25x body weight) group and data were analyzed in pre-post training. While all subjects showed gains in LBM and related factors, initial strength levels altered these adaptations. Subjects with a lower initial maximum strength level tended to make greater gains. However, due to the increase in total body water and relatively small increases in adjusted LBM, it appears, among this group, that little myofibrillar hypertrophy occurred during this short training period. These data suggest that greater accuracy for measures of alterations in LBM and related factors may require measures of total body water.

Cette étude s'intéresse aux risques associés à la formation d'une ATmosphère EXplosive (ATEX) née d'une fuite d'hydrogène et de sa dispersion dans l'air ambiant. La fuite a été modélisée par un jet turbulent à densité variable libre, impactant sur une sphère de diamètre 20mm ou sur une plaque plane. Dans un premier temps, les champs de vitesses et de concentration ont été obtenus expérimentalement en proche sortie grâce à des mesures de Vélocimétrie par Images de Particules (PIV) et de Fluorescence Induite par Plan Laser sur l'acétone (PLIF). La turbulence et le mélange ont été caractérisés pour le cas d'un jet libre ou en présence d'un obstacle. A partir de ces mesures, la structure générale de l'écoulement a été étudiée à partir des champs moyens et fluctuants par comparaison avec les données de la bibliographie. Puis, les données issues des fluctuations ont été analysées statistiquement par l'étude des fonctions de densité de probabilité du scalaire. Ces travaux se sont poursuivis avec la mise en relation des résultats expérimentaux avec ceux obtenues par des simulations numériques DNS (Direct Numerical Simulation) utilisant la méthode Boltzmann sur Réseau (LBM) d'un scalaire passif dans un jet d'air. Cette étude a permis de recueillir et d'analyser des données supplémentaires sur le mélange d'un jet à masse volumique variable libre ou impactant. Ces données sont directement applicables à la maitrise des risques liés aux fuites d'hydrogène. / This study examines the risks associated with the formation of an explosive atmosphere from a hydrogen leak and its dispersion into the air. We considered the leak as a turbulent jet with density variable, free and impinging a $20,mm$ diameter sphere or a flat plate. Firstly, velocity and scalar fields have been measured experimentally in the near field through Particle Image Velocimetry (PIV) and acetone Planar Laser Induced Fluorescence (LIF). Turbulence and mixing have been defined in the case of free jet and impinging jet. From this measurements, the flow structure has been presented from the mean and fluctuating flow measurements by comparison with literature data. Next, the fluctuation scalar fields are studied with the probability density function method. Finally, a comparison has been conducted between the experiments and direct numerical simulation (DNS) of turbulence based on the lattice Boltzmann method (LBM) for passive scalar in air jet. This study is gathering and analyzing data on the mixing of jet with density variable, free and impinging jet. Such data is directly useful to identify and control risks incurred due to hydrogen leak.

L'objet de cette thèse est la modélisation computationnelle de l'Imagerie par Résonance Magnétique (IRM), appliquée à l'imagerie des réseaux vasculaires. Les images sont influencées par la géométrie des vaisseaux mais aussi par le flux sanguin. Par ailleurs, outre la qualité des modèles développés, il est important que les calculs soient performants. C'est pourquoi, le calcul parallèle est utilisé pour gérer ce type de problèmes complexes. Dans cette thèse, trois solutions sont proposées. La première concerne les algorithmes parallèles pour la modélisation des réseaux vasculaires. Des algorithmes dédiés à différentes architectures sont proposés. Le premier est basé sur le modèle de « passage de messages » pour les machines à mémoires distribuées. La parallélisation concerne l'irrigation de nouvelles zones de tissu par les vaisseaux existants. Le deuxième algorithme est dédié aux machines à mémoire partagée. Il parallélise également le processus de perfusion mais des processeurs différents se chargent de gérer les différents arbres vasculaires. Le troisième algorithme est une combinaison des approches précédentes offrant une solution pour les architectures parallèles hybrides. Les algorithmes proposés permettent d'accélérer considérablement la croissance des réseaux vasculaires complexes, ce qui rend possible la simulation de structures vasculaires plus précises, en un temps raisonnable et aide à améliorer le modèle vasculaire et à tester plus facilement différents jeux de paramètres. Une nouvelle approche de modélisation computationnelle des flux en IRM est également proposée. Elle combine le calcul de flux par la méthode de Lattice Boltzmann, la simulation IRM par le suivi temporel de magnétisations locales, ainsi qu'un nouvel algorithme de transport des magnétisations. Les résultats montrent qu'une telle approche intègre naturellement l'influence du flux dans la modélisation IRM. Contrairement aux travaux de la littérature, aucun mécanisme additionnel n'est nécessaire pour considérer les artéfacts de flux, ce qui offre une grande facilité d'extension du modèle. Les principaux avantages de cette méthode est sa faible complexité computationnelle, son implémentation efficace, qui facilitent le lancement des simulations en utilisant différents paramètres physiologiques ou paramètres d'acquisition des images. La troisième partie du travail de thèse a consisté à appliquer le modèle d'imagerie de flux à des réseaux vasculaires complexes en combinant les modèles de vaisseaux, de flux et d'acquisition IRM. Les algorithmes sont optimisés à tous les niveaux afin d'être performants sur des architectures parallèles. Les possibilités du modèle sont illustrées sur différents cas. Cette démarche de modélisation peut aider à mieux interpréter les images IRM grâce à l'intégration, dans les modèles, de connaissances variées allant de la vascularisation des organes jusqu'à la formation de l'image en passant par les propriétés des flux sanguins. / This PhD thesis concerns computer modeling of magnetic resonance imaging (MRI). The main attention is centered on imaging of vascular structures. Such imaging is influenced not only by vascular geometries but also by blood flow which has to been taken into account in modeling. Next to the question about the quality of developed models, the challenge lies also in the demand for high performance computing. Thus, in order to manage computationally complex problems, parallel computing is in use. In the thesis three solutions are proposed. The first one concerns parallel algorithms of vascular network modeling. Algorithms for different architectures are proposed. The first algorithm is based on the message passing model and thus, it is suited for distributed memory architectures. It parallelizes the process of connecting new parts of tissue to existing vascular structures. The second algorithm is designed for shared memory machines. It also parallelizes the perfusion process, but individual processors perform calculations concerning different vascular trees. The third algorithm combines message passing and shared memory approaches providing solutions for hybrid parallel architectures. Developed algorithms are able to substantially speed up the time-demanded simulations of growth of complex vascular networks. As a result, more elaborate and precise vascular structures can be simulated in a reasonable period of time. It can also help to extend the vascular model and to test multiple sets of parameters. Secondly, a new approach in computational modeling of magnetic resonance (MR) flow imaging is proposed. The approach combines the flow computation by lattice Boltzmann method, MRI simulation by following discrete local magnetizations in time and a new magnetization transport algorithm together. Results demonstrate that such an approach is able to naturally incorporate the flow influence in MRI modeling. As a result, in the proposed model, no additional mechanism (unlike in prior works) is needed to consider flow artifacts, what implies its easy extensibility. In combination with its low computational complexity and efficient implementation, the solution is a user-friendly and manageable at different levels tool which facilitates running series of simulations with different physiological and imaging parameters. The goal of the third solution is to apply the proposed MR flow imaging model on complex vascular networks. To this aim, models of vascular networks, flow behavior and MRI are combined together. In all the model components, computations are adapted to be performed at various parallel architectures. The model potential and possibilities of simulations of flow and MRI in complex vascular structures are shown. The model aims at explaining and exploring MR image formation and appearance by the combined knowledge from many processes and systems, starting from vascular geometry, through flow patterns and ending on imaging technology.

Une méthode innovante pour simuler des interactions fluide-structure complexes tout en gardant un bon compromis temps de calcul/précision est présenté.Pour réduire le temps de simulation des modèles d’ordre réduits sont utilisés au lieu des modèles complets aussi bien pour les modèles structuraux que pour les modèles aérodynamiques. Un des challenges de base était d'utiliser des modèles industrielles hautes fidélités. La technique de condensation dynamique est utilisée pour réduire la taille du modèle éléments finis structures et la décomposition aux valeurs propres est utilisé sur une base de données aérodynamiques construite à partir de simulations CFD.Les non-linéarités structurelles sont réintroduites à posteriori.Une comparaison poussée des méthodes classique d'interpolation comme des méthodes de spline, d’interpolation sur des Manifold de Grassmann avec des méthodes innovantes d'apprentissage statistiques a été amené.Afin de valider complètement la méthodologie développée, une maquette expérimentale visant à imiter le comportement du carénage au sol avant le décollage a été conçue.Ce cas a pu être assimilé à une plaque avec des raideurs de liaisons dans une couche de mélange.La validation de cette méthode est réalisée en comparant les résultats des simulations numériques avec les données enregistrées pendant des essaies en soufflerie. On pourra ainsi comparer aussi bien des champs que des mesures locales. L'ensemble des essais a permis d'améliorer la compréhension de ce phénomène vibratoire qui mène à des problèmes récurrents de fatigue dans cette sous structures.Cette méthode est enfin appliquée à une structure aéronautique: les carénages de volet hypersustentateur / An innovative method for numerical simulating complex problems of fluid structure interaction, such as non-linear transients, characterized by good performances and high precision is presented in this manuscript. To cut down the simulation time, reduced order models are used for both the aerodynamic and structural modules. High fidelity industrial models have been used. A technique of dynamic condensation is employed to reduce the size of the finite element model while the technique of Proper Orthogonal Decomposition is used on a database of aerodynamic pressures built from CFD simulations. Structural non-linearities are reintroduced a posteriori. Different interpolation techniques such as the classic spline interpolation, interpolation on a Grassmann Manifold with more innovative methods of statistical learning have been compared. In order to validate the developed methodology a test campaign has been designed to reproduce a simplified mechanism of interaction inspired by a flap track fairing in take-off configuration. A plate whose stiffness depends on the springs at its attachment to the wind tunnel test section floor is immersed in a mixing layer. In parallel to the test activities a numerical model of the test rig has been developed. The validation of the methodology of fluid structure interaction is done through direct comparison between test data and simulation results. The testing activities have granted a deeper comprehension of the vibratory phenomenon that has led to recurrent fatigue problems on the impacted structures. The methodology is ultimately applied to an industrial problem: the load prediction on flap track fairings excited by engine exhaust.

La réduction des émissions de gaz à effet de serre (GES) passe par la réduction des consommations d’énergie. Le stockage de la chaleur dans les parois des bâtiments permet de réduire la consommation d'énergie. Parmi les techniques de stockage, le stockage latent a la capacité de stocker une quantité d’énergie par unité de volume plus importante qu’un système sensible. Le projet INERTRANS a proposé le développement d’une façade associant une isolation translucide et le stockage latent avec un matériau à changement de phase (MCP). La fusion du MCP s’accompagne de la convection naturelle et l’absorption ou transmission du rayonnement. Le couplage de l’ensemble de ces phénomènes n’a pas été étudié dans la littérature. Dans cette thèse un modèle numérique 2D pour l’étude du changement de phase a été développé. Ce modèle utilise la méthode de Boltzmann sur réseau (LB) à temps de relaxation multiple (MRT), pour la résolution du champ de vitesse et la méthode des différences finies, pour la résolution du champ de températures. Le changement de phase a été traité par la formulation enthalpique. L’originalité est l’application de ce modèle au problème de changement de phase avec convection naturelle, d’une part, et au changement de phase avec convection naturelle et rayonnement, d’autre part. Pour vérifier notre modèle sans rayonnement, un cas de référence de la littérature a été simulé. Il s’agit de la fusion des deux MCP, l’étain et l’octadécane, à faible et fort nombre de Prandtl, respectivement. La simulation de l’étain a confirmé un écoulement multicellulaire. La simulation de l’octadécane a montré une forte influence de la convection avec un front de fusion qui se déforme sur toute la cavité. Le nombre de Nusselt pour l’octadécane avec convection est plus de trois fois le Nusselt sans convection. La simulation de l’acide gras de la brique INERTRANS a montré que la convection ne doit pas être négligée, car le flux prédit avec convection peut être jusqu’à trois fois plus grand que le flux prédit sans convection. La fraction fondue est près du double qu’en conduction seule. La méthode LB appliquée aux transferts radiatifs a été étudiée. Il se trouve, qu’à l’état actuel cette méthode n’est pas compétitive par rapport à une méthode classique des ordonnées discrètes (MOD). Enfin, nous avons couplé la MOD pour le calcul du flux radiatif avec la méthode LB pour le calcul du champ de vitesses et des différences finies pour l’équation de l’énergie. Le rayonnement grande longueur d’onde n’a pas d’influence notable sur les transferts thermiques. Le rayonnement courte longueur d’onde augmente les transferts thermiques, pourtant, cet effet n’est pas aussi important que l’augmentation due à la convection pour le matériau choisi. Puisqu’aucune solution de référence n’existe dans la bibliographie, nos résultats peuvent désormais servir d’éléments de comparaison pour de futurs travaux. Une validation expérimentale constituerait une perspective nécessaire. / Reduction of greenhouse gas emissions requires reduction of energy consumption. Energy storage on building walls allows reduction in energy consumption. Among storage techniques, latent heat storage offers higher energy storage density than sensible heat storage. INERTRANS project has proposed the development of an innovative facade, coupling transparent insulation and energy storage with a fatty acid phase change materials (PCM). Melting of PCM comprises different phenomena, namely, natural convection in the liquid phase and radiation absorption or transmission. The coupling of all this phenomena is not still studied in scientific literature. In this thesis, a 2D numerical model for studying phase change has been developed. This model uses the lattice Boltzmann method (LBM) with multiple relaxation time (MRT) to resolve velocity field, and finite differences for the temperature field. Phase change is treated with the enthalpy formulation. The original contribution is application of this hybrid approach to the phase change with natural convection, on the one hand, and to the phase change with natural convection and radiation, on the other hand. To verify the model without radiation, a test case taken from literature has been simulated. It concerns the melting of two PCM with a low and high Prandtl number, the tin and octadecane, respectively. Tin melting simulation confirms multiple cells flow, starting with four rolls which merges in three then two rolls. Octadecane simulation shows high convection effect, with a melting front deforming all along the cavity height. Nusselt number plot for octadecane melting with convection is more than three times with conduction only. INERTRANS’ fatty acid simulation shows that convection shall not be neglected, because predicted heat flux with convection may be up to three times that predicted with conduction only. Melted fraction is almost twice than with conduction only. The lattice Boltzmann method applied to radiative heat transfer has also been explored. It turns out that in its current state, this method is not competitive compared to a conventional discrete ordinates method (DOM). Finally, we coupled the DOM for radiation heat flux, with the LBM for velocity field calculation and finite differences for the energy equation to solve the coupling between phase change, convection and radiation. Long wavelength radiation has no noticeable effect on heat transfer. Short wavelength radiation increases heat transfer, however, this increase is not as important as that produced by convection for this kind of material. Since no reference solution exists in the literature, our results can now serve as a basis for future work. An experimental validation would be a necessary perspective.

Syftet med denna uppsats är att bidra till en bättre förståelse för LBG:s förutsättningar inom sjöfarten genom att kartlägga vilka möjligheter och hinder som finns för att använda LBG som bränsle i Östersjöområdet. Studien består av en analytisk kartläggning som baseras i en litteraturstudie och kompletteras av en intervjustudie med branschaktörer.  Uppsatsen använder en kombinerad PESTLE/SWOT-metodik, där en kartläggning har utförts med hjälp av en PESTLE-analys för att identifiera områden och faktorer. Faktorerna har därefter analyserats genom en SWOT-analys för att svara på rapportens formulerade huvudfrågeställning. Resultatet visar att potentialen för LBG inom sjöfartsbranschen är stor, särskilt då den huvudsakliga infrastrukturen för bränslet finns på plats med anledning av LNG:s framväxt i Östersjöområdet. Den volymmässiga avsättningspotentialen för bränslen är också stor inom sjöfarten, och LBG har unika styrkor jämfört med LNG och i sjöfarten redan etablerade bränslen. LBG:s styrkor ligger i linje med de målsättningar som finns kring omställning till förnybara bränslen i transportsektorn, samt de strategier och mål som finns om att reducera koldioxidutsläpp på global och europeisk nivå. Intervjuade rederier menar att de ser utvecklingen mot LBG som ett naturligt steg för sin LNG-drivna flotta och att testverksamhet pågår med inblandning av LBG i LNG-drivna fartyg. Tre faktorer identifierades som särskilda viktiga för utvecklingen mot LBG i sjöfartsbranschen i Östersjön. En av dessa berör produktionskapaciteten av LBG, där sjöfartsbranschens stora energibehov medför att endast en begränsad inblandning av LBG är möjlig i dagsläget. Ett annat identifierat fokusområde består i LBG-kostnad för sjöfarten, där den hårda konkurrenssituationen inom branschen negativt påverkar rederiers möjligheter att bekosta inblandning av LBG. Förutsättningarna påverkas också av att fartygsbränslen för kommersiell sjöfart är skattefria och att andra potentiella branscher för LBG medger möjlighet till skattemässiga subventioner. I uppsatsen skissas det på förslag för hur man kan avhjälpa dessa hinder och bättre utnyttja LBG:s styrkor som fartygsbränsle i Östersjöområdet. / The purpose of this paper is to contribute to a better understanding of LBG's conditions in the shipping sector by mapping out the opportunities and barriers of using LBG as fuel in the Baltic Sea area. The paper consists of a literature study that is supplemented by an interview study with industry players. The thesis uses a combined PESTLE / SWOT methodology, where a survey has been performed using a PESTLE analysis to identify areas and specific factors. The factors were then analyzed through a SWOT analysis to answer the main issue proposed by the author. The results show that there is considerable potential for LBG in the shipping industry, especially as the entire fuel infrastructure is in place due to LNG's continuous growth in the Baltic Sea area. LBG has unique strengths compared to both LNG and fuels that are already established in the maritime industry. LBG's strengths are in line with the aims of increasing renewable fuels in the transport sector, as well as the strategies and targets that exist to reduce carbon dioxide emissions at a global and European level. Interviewed shipping companies see the development towards LBG as a natural step for their LNG-operated fleet, and that testing is ongoing with mixing LBG in some LNG-fueled vessels. Three factors were identified as particularly important for the development of LBG in the Baltic Sea. One of these concerns the production capacity of LBG, where the large energy needs of the shipping industry mean that only a limited use of LBG is possible at present. Another identified focus area is costs in relation to LBG, where the tough competitive situation in the shipping industry negatively impacts shipping companies' ability to afford a more expensive fuel like LBG. The prerequisites are also affected by the fact that ship fuels for commercial shipping are tax-free and that other potential sectors for LBG allow for tax subsidies. The thesis outlines proposals for how to overcome these obstacles and make better use of LBG's strengths as a fuel for shipping in the Baltic Sea area.

Industrialization and globalization of companies has promoted fast, easy and profitable business solutions. A linear business model (LBM) is seen as the most common way to do business. However, recent studies have enlightened how LBMs are detrimental to the health and biological cycles of the earth and its inhabitants. To prevent this, circular business models (CBM) are being introduced as a feasible while still profitable solution. CBMs are defined by Oghaze &amp; Mostaghel, (2018), as the “…rationale of how an organisation creates, delivers, and captures value with slowing, closing, or narrowing flows of the resource loops”, as they base their business on products and services designed to close or slowing the resource loops, decreasing the overall need of virgin resources.  However, to make these major changes in the current way of designing products and services has to be made, taking into consideration the change in design objectives from a linear to a circular model. Today, there are many circular design methods (DM) developed by academia to aid designers in designing sustainable products and services, however, the uptake of such DMs in the industry is quite low. Such a low level of uptake is often due to a poor fit between the DM and the context it is adopted in, which does not aid its seamless integration in existing processes.  Therefore, this research aims to identify DM characteristics that will aid industries to be adopted or adapted by companies transitioning towards CBMs. To do so, three research questions were developed: i) What are the most critical internal and external drivers in a company that enable the successful adoption of a circular design method?  ii) What are the contextual barriers that companies encounter when adopting or adapting circular design methods? iii) How can the design method adopted or adapted be evaluated to improve their implementation in a company? To answer these research questions, a survey was initially carried out, and subsequent interviews were conducted amongst participants of five different companies from various sectors and expertise. The survey and interviews were grounded in previous research concerning types of CBM and different types of barriers and drivers influencing the adoption of circular DMs.  The result from the survey indicates that the ability to make trade-offs when confronted with sustainability aspects, management commitment to a CBM, good communication and sharing of environmental knowledge, both through different departments and with external actors like suppliers, as well as allocating resources such as time, personnel, funds, and having clear business incentives are needed to promote the use of circular DMs. From the interviews, it was also found that barriers to the effective use of DMs are lack of environmental knowledge throughout the supply chain and wrong identification of actors in the supply chain as well as limited communication with external actors. Furthermore, the research revealed several characteristics of the DMs such as simplicity, flexibility and informativity need to be adapted to leverage and overcome the identified contextual drivers and barriers respectively, for their successful deployment within the companies.

No description available.

Liquid film flow is an important flow type in many applications of process engineering. For supporting experiments, theoretical and numerical investigations are required. The present state of the art is to model the liquid film flow with Navier--Stokes-based methods, whereas the lattice Boltzmann method is employed here. The final model has been developed within this treatise by means of a two-phase flow and a heat transfer model, and boundary and initial conditions. All these sub-models have been applied to simple test cases. It could be found that the two-phase model is capable of solving flow phenomena with a large density ratio which has been shown impressively in conjunction with wall boundary conditions. The heat transfer model was tested against spectral method results with a transient non-uniform flow field. It was possible to find optimal parameters for computation. The final model has been applied to steady-state film flow, and showed very good agreement to OpenFOAM simulations. Tests with transient film flow demonstrated that the model is also able to predict these flow phenomena. / Flüssigkeitsfilmströmungen kommen in vielen verfahrenstechnischen Prozessen zum Einsatz. Zur Unterstützung von Experimenten sind theoretische und numerische Untersuchungen nötig. Stand der Technik ist es, Navier--Stokes-basierte Modelle zu verwenden, wohingegen hier die Lattice-Boltzmann-Methode verwendet wird. Das finale Modell wurde unter Verwendung eines Zweiphasen- und eines Wärmeübertragungsmodell entwickelt und geeignete Rand- und Anfangsbedingungen formuliert. Alle Untermodelle wurden anhand einfacher Testfälle überprüft. Es konnte herausgefunden werden, dass das Zweiphasenmodell Strömungen großer Dichteunterschiede rechnen kann, was eindrucksvoll im Zusammenhang mit Wandrandbedingungen gezeigt wurde. Das Wärmeübertragungsmodell wurde gegen eine Spektrallösung anhand eines transienten und nichtuniformen Strömungsproblemes getestet. Stationäre Filmströmungen zeigten sehr gute Übereinstimmungen mit OpenFOAM-Lösungen und instationäre Berechungen bewiesen, dass das Model auch solche Strömungen abbilden kann.