Aujourd’hui, les modèles numériques sont couramment utilisés dans le monde de la recherche, mais aussi de l’industrie, de la santé, de la finance, etc… La qualité du résultat sera toujours liée à la finesse et à la précision avec laquelle l’ingénieur est capable de formaliser les phénomènes physiques rencontrés. Dans le cadre plus spécifique de la modélisation biomécanique, énormément de paramètres rentrent en compte, rendant très compliquée la standardisation des modèles. Cette thèse s’inscrit donc dans une démarche d’amélioration de la qualité des modèles numériques du crâne humain au travers de plusieurs études ayant pour objectif d’analyser les paramètres morphologiques du crâne et de les utiliser pour la personnalisation d’un modèle morpho-mécanique. La méthode de scan par micro-tomographie a été utilisée pour scanner plus de 360 échantillons prélevé sur 10 crânes, puis des essais mécaniques de compression quasi-statiques et dynamiques ont été menés sur une partie de ces échantillons. Les résultats obtenus ont permis de développer une carte d’évolution d’un certain nombre de paramètres morphologiques du crane basés sur un modèle polynomiale. Une étude comparative statistique a permis de mettre en évidences les liens existants entre la morphologie et le comportement mécanique de ces échantillons. Au final, la liaison de ces deux études a permis de proposer un modèle morpho-mécanique personnalisable, puis de le valider pour différentes simulations éléments finis sur des échantillons osseux et sur une voute crânienne complète. / Today, the digital models are usually used in the world of research, but also in industry, health, finance, etc.… The quality of the results will always be connected to the accuracy with which the engineer is able of formalizing the physical phenomena. More specifically in the biomechanical modelling, working with a high number of parameters, making very complicated the standardization of the models. This thesis has an approach of improvement in the quality of the digital models of the human skull through several studies having for aim the analysis of the morphological parameters of the skull and their use for the personalization of a morpho-mechanical model.The method of scan by micro-tomography was used to scan more than 360 samples taken from 10 skulls, and then mechanical tests of compression in quasi-statics and dynamics were led on a part of these samples. The results we obtained allowed us to develop a card of evolution of a number of morphological parameters of the skull based on a polynomial model. A statistical comparative study allowed to highlight the existing links between the morphology and the mechanical behaviour of these samples. Finally, the connection of these two studies allowed to propose a customizable morpho-mechanical model, and to validate it for various finite elements simulations on bones samples and on complete human skull.

The Bohemian Massif was consolidated during the Variscan orogeny (~400-300 Ma), which involved several oceanic subductions and collisions of continental micro-plates. The central part of the Bohemian Massif, the Moldanubian domain, shows a large accumulation of felsic high-pressure metamorphs. We present a numerical model of exhumation of these rocks due to continental collision and underthrusting. The key feature of the model is a felsic (light, rheologically weak and rich in radioactive elements) material in the lower crust of one of the colliding blocks. We examine the influence of the rate of convergence of the two blocks, radiogenic heating in the felsic lower crust and efficiency of erosion, on the model evolution and pressure-temperature conditions in the lower-crustal material. The models where the material is sufficiently weakened due to radiogenic heating show formation of an orogenic plateau, sedimentation in a foreland basin, and crustal thickening accompanied by gravity-driven exhumation of the lower crust and subsequent sub-horizontal flow in the middle crust. In colder and/or faster models, the thickening is dominated by folding. We correlate the tectonic style of these two types of models with differences between the high-grade rocks in the southern (Moldanubian) and northern (Sudetic) parts...

To model clouds in the mesoscale a 3D nonhydrostatic numerical model - GESIMA - was used, with a new cloud scheme which includes a quasispectral treatment of 6 different bulk water species ( water vapor, cloud water, rain, ice, snow, graupel) . lt allows to predict the distribution parameters since the number concentration and the mass mixing ratio were prognosed. So it is possible to vary the average particle masses ( diameters) in time which gives more realistic results. According to measurements two different distribution functions (log-normal for rain and cloud water and Marshall-Palmer for solid water classes) were used to describe the different water species. The cloud model is tested in a simulation of a mesoscale snowfall event over the southern Baltic Sea. / Für die mesoskalige Simulation von Wolken wurde ein nichthydrostatisches numerisches 3D-Modell - GESIMA - benutzt, in dem ein neuer Wolkenmodul mit quasispektraler Behandlung 6 verschiedener Wolkenteilchenklassen (Wasserdampf, Wolkenwasser, Regen, Eis, Schnee, Graupel) implementiert wurde. Es erlaubt die Vorhersage der Verteilungsparameter, da sowohl die Teilchenzahlkonzentration als auch das Massenmischungsverhältnis prognostiziert werden. Damit ist es möglich auch die mittlere Masse (Durchmesser) einer Teilchensorte zeitlich zu variieren, was zu realistischeren Resultaten führt. In Übereinstimmung mit Messungen wurden 2 verschiedene Verteilungsfunktionen zur Beschreibung für die verschiedenen Teilchenklassen (log-normal für Wolkenwasser und Regen und Marshall-Palmer für Schnee und Graupel) benutzt. Das Wolkenmodell wurde in einer Simulation eines mesoskaligen Schneefallereignisses über der südwestlichen Ostsee getestet.

Numerische Experimente wurden durchgeführt, um den Einfluß von Gittermaschenweite und subskaliger Heterogenität auf die Vorhersage der am Wasserkreislauf beteiligten Größen zu untersuchen. Die Modellergebnisse zeigen, daß die Evapotranspiration, Bewölkung und der Niederschlag von der Gittermaschenweite und der Heterogenität beeinflußt werden. Es zeigte sich, daß bei Verwendung gröberer Maschenweiten unter Einbezug der verschiedenen Landnutzungstypen innerhalb der Gittermasche die Obertlächenprozesse und Phänomene (z.B. Wärmeinseleffekt) realistischer beschrieben werden, als wenn nur ein Landnutzungstyp für das gesamte Gitterelement angenommen wird. / Numerical experiments were performed to investigate the influence of grid resolution and subgrid heterogeneity on the prediction of the quantities of the water cycle. The results were compared with each other and with those provided by a simulation using the same surface parameterization scheme but taking subgrid scale surface heterogeneity into account. The model results substantiate that the evapotranspiration, cloudiness and precipitation are affected by the grid resolution and the heterogeneity. lt was found that increasing the grid size but including the heterogeneity describes more realistically the surface processes and phenomena (e.g„ heat island effect) than assuming one land use type for the whole grid element.

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The Diploma Thesis consists of research and design part. The content of research part is description of dry reservoirs and theory of 2D modelling. The design part of the work deals with the hydrotechnical study of possibility of building a dry reservoir Blučina in two variants of designs of reservoir with objects. The design contains simulations of 2D numerical model of reservoir made in program SMS-SRH of both designed variants. The result is evaluation of both designed variants and recommendation of better option for a possibility of construction in the future in terms of the transformation of the century-flood wave.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第19292号 / 工博第4089号 / 新制||工||1630(附属図書館) / 32294 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 角 哲也, 准教授 竹門 康弘, 准教授 KANTOUSH Sameh Ahmed / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

京都大学 / 0048 / 新制・課程博士 / 博士(理学) / 甲第19505号 / 理博第4165号 / 新制||理||1598(附属図書館) / 32541 / 京都大学大学院理学研究科地球惑星科学専攻 / (主査)教授 津田 敏隆, 教授 石川 裕彦, 教授 余田 成男 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DFAM

Indiana University-Purdue University Indianapolis (IUPUI) / Numerical models are important tools for simulating processes within complex natural systems, such as hydrodynamics and water quality processes within a water body. From decision makers’ perspectives, such models also serve as useful tools for predicting the impacts of water quality problems or develop early warning systems. However, accuracy of a numerical model developed for a specific site is dependent on multiple model parameters and variables whose values are attained via calibration processes and/or expert knowledge. Real time variations in the actual aquatic system at a site necessitate continuous monitoring of the system so that model parameters and variables are regularly updated to reflect accurate conditions. Multiple sources of observations can help adjust the model better by providing benefits of individual monitoring technology within the model updating process. For example, remote sensing data provide a spatially dense dataset of model variables at the surface of a water body, while in-situ monitoring technologies can provide data at multiple depths and at more frequent time intervals than remote sensing technologies. This research aims to present an overview of an integrated modeling and data assimilation framework that combines three-dimensional numerical model with multiple sources of observations to simulate water column temperature in a eutrophic reservoir in central Indiana. A variational data assimilation approach is investigated for incorporating spatially continuous remote sensing observations and spatially discrete in-situ observations to change initial conditions of the numerical model. This research addresses the challenge of improving the model performance by combining water temperature from multi-spectral remote sensing analysis and in-situ measurements. Results of the approach on a eutrophic reservoir in Central Indiana show that with four images of multi-spectral remote sensing data assimilated, the model results oscillate more from the in-situ measurements during the data assimilation period. For validation, the data assimilation has negative impacts on the root mean square error. According to quantitative analysis, more significant water temperature stratification leads to larger deviations. Sampling depth differences for remote sensing technology, in-situ measurements and model output are considered as possible error source.

A two-dimensional axisymmetric thermo-mechanical model of the Refill Friction Stir Spot Welding (RFSSW) process was developed and validated with experimental data. Welding temperatures, tool forces, and material flow including defect formation, were accurately predicted by the model. Qualified repair techniques are critical for successful implementation of a welding process for use on large weldments with a significant number of spot joints, and this work demonstrates a repair technique for RFSSW that is validated both experimentally and numerically. Repaired properties are shown to exceed 90% of the original mechanical properties of the RFSSW process. RFSSW has different process parameters for every combination of material alloy, material thickness, weld duration, and machine force limits. Numerical modeling develops the process parameters for any RFSSW iteration in a fraction of the time with the same amount of accuracy. The model can effectively simulate how to determine the optimal weld duration given any experimental parameters.