Residual stresses are generally considered to be the driving forces for the failure of APS TBCs. In this thesis, the residual stress distribution as a function of depth in APS TBC has been measured by synchrotron XRD and explained by image based modelling based on the microstructure detailed studied by SEM and CT. The residual stress/ strain distribution as a function of depth was measured by synchrotron XRD in transmission and reflection geometry. The residual stress/ strain values were analysed using full pattern Rietveld refinement, the sin square psi method and XRD2 method. For the reflection geometry, a new method was developed to deconvolute the residual stress value in each depth from the measured averaged values. Two types of residual stress/strain distribution were observed. The first kind of residual stress was found to be compressive and followed a non-linear trend, which increased from the surface to the interface, decreased slightly and increased again to the interface. This trend showed a jump feature near the interface. The second kind of residual stress distribution possessed two jump features: one near the interface similar to the first kind and another jump feature near the sample surface. The residual stress in both beta and gama phase in the bond coat were also investigated which showed a tensile stress state. The stress trend predicted by our analytical model followed a linear relationship. Comparing this with the first kind of residual stress distribution, two main differences were shown. Firstly the jump feature near the interface and secondly the much larger overall stress gradient. The 3D and 2D microstructure of the sample with the first kind of residual stress distribution was observed by X-ray CT and SEM. The effect of pores, inter-splat cracks and the rumpling interface on the residual stress distribution was investigated by image based modelling. It was proved that the pores and the inter-splat cracks had no large influence on the stress distribution and the jump feature near the interface was a result of the rumpling interface. The much larger stress gradient observed in the measured residual stress distribution was an indication of the stress relaxation in the coating which was proved by a specially designed mechanical test. To explain the jump feature near the sample surface in the second kind of stress distribution. 3D microstructures of the measured samples were observed using X-ray CT. The effect of vertical and the side cracks on the stress distribution were investigated by image based modelling. It was found that the vertical crack had no large influence on the residual stress distribution and the jump feature in the stress trend near the surface could be attributed to the side crack. The effect of other kinds of cracks that were not directly observed in our samples, such as middle or through side cracks, were also investigated. These results were used to develop a semi-destructive method to determine the existence and distribution of cracks in APS TBC.

This study develops a 3D meso-scale fracture characterisation and modelling framework for better understanding of the failure mechanisms in concrete, by combining in-situ micro-scale X-ray computed tomography (XCT) experiments and XCT image-based finite element (FE) simulations. Firstly, sophisticated in-situ XCT experiments are conducted on concrete cubes under Brazilian-like, uniaxial and cyclic compression. Proper procedures for XCT image reconstruction and multi-phasic segmentation are identified. The fracture evolution at different loading stages is characterised and visualised as well as the detailed distributions of aggregates and voids. The Young's moduli of aggregate and cement are obtained by micro-indentation tests and used in XCT-image based asymptotic homogenisation simulations to calculate effective elastic constants of concrete cubes. The XCT technique proves very powerful in characterising and visualising the complicated 3D fracture evolution in concrete. The material properties and the segmented 3D images from the experiments are then used for FE fracture simulations with realistic aggregates, cement and voids. Image-based mesh generation algorithms are developed for 2D in a MATLAB code and identified for 3D in Simpleware. Cohesive interface elements are embedded within cement and aggregate-cement interfaces to simulate the complex nonlinear fracture. Extensive simulations of 40mm and 20mm cubes under compression and tension are carried out. Good agreements are achieved between the load-displacement curves and final crack patterns from the simulations and those from the compressive in-situ XCT tests. The XCT image-based modelling proves very promising in elucidating fundamental mechanisms of complicated crack initiation and propagation in concrete.

The permeability of rocks has a critical influence on their fluid transport response in critical geo-environmental applications, such as pollutant transport or underground storage of hazardous nuclear waste. In such processes, the materials microstructure may be altered as a result of various stimuli, thereby impacting the fluid transfer properties. Stress or strain state modifications are one of the main causes for such evolutions. To numerically address this concern, an integrated and automated numerical tool was developed and illustrated on subsets of microCT scans of a Vosges sandstone (i) to explore the links between the pore space properties and the corresponding macroscopic transfer properties, with (ii) an incorporation of the microstructural alterations associated with stress state variations by using a realistic image-based representation of the microstructural morphology. The ductile mechanical deformation behavior under high confining pressures at the scale of the microstructure, inducing pore closures by local plastifications, was modelled using finite elements simulations with a non-linear elastoplastic law, allowing to take into account the redistribution of local stresses. These simulations require robust discretization tools to capture the complex geometry of the porous network and the corresponding solid boundaries of the heterogeneous microstructural geometries. To achieve this, an integrated approach for the conformal discretization of complex implicit geometries based on signed distance fields was developed, producing high quality meshes from both imaging techniques and computational RVE generation methodologies. This conforming discretization approach was compared with an incompatible mode-based framework using a non conforming approach. This comparison highlighted the complementarity of both methods, the former capturing the effect of more detailed geometrical features, while the latter is more flexible as it allows using the same (non conforming) mesh for potentially variable geometries.The evolution of permeability was evaluated at different confining pressure levels using the Lattice-Bolzmann method. This uncoupled solid-fluid interaction made it possible to study the combined influence on the permeability, porosity and the pores size distribution of the pore space morphology and the solid skeleton constitutive law parameters during loading and unloading conditions. The results highlight the need to consider elastoplastic laws and heterogeneities in the rock model to simulate the ductile behavior of rocks at high confining pressures leading to significant permeability alterations under loading, and irreversible alterations under loading/unloading cycles induced by progressive pore closures.The proposed methodology is designed to be flexible thanks to the interfacing with 'classical' discretization approaches and can be easily readapted to other contexts given the block approach. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

The aim of the thesis is to analyse new technologies for integrated architectural surveys, studying the advantages and limitations of each in different architectural contexts, providing a global vision and unifying terminology and methodology in the field of architecture and engineering. The new technologies analyzed include laser scanning (both time-of-flight and triangulation), image-based 3-D modelling and drone-based photogrammetry, along with their integration with classical surveying techniques. With this goal, some case studies were examined, using different survey techniques with several advanced applications, in the field of architectural heritage. The case studies enabled us to analyze and study these techniques, however having quite clear that Image- and Range-based Modelling techniques, rather than compared, must be analysed for their integration, which is essential for the rendering of models with high levels of morphological and chromatic detail. On the other hand, thanks to the experience of the two different faculties (Architecture in Valencia, Spain and Civil Engineering in Pisa, Italy), besides the issues of interpretation between the two languages, divergence was found between the terminology used by the different specialists involved in the process, be they engineers (although dealing with different branches), architects and archaeologists. It is obvious that each of these profiles has a different view of architectural heritage, general construction and surveys. The current trend to form multidisciplinary teams working on architectural heritage, leads us to conclude that an unified technical terminology in this field could facilitate understanding and integration between the different figures, thus creating a common code. / Martínez-Espejo Zaragoza, I. (2014). Precisiones sobre el levantamiento 3D integrado con herramientas avanzadas, aplicado al conocimiento y la conservación del patrimonio arquitectónico [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/37512

De nos jours, les images augmentées font partie du quotidien. Du cinéma aux jeux vidéo en passant par l'architecture ou le design, nombreuses sont les applications qui ont besoin d'afficher des objets synthétiques dans un contexte réel. Cependant, le processus permettant d'intégrer ces objets de manière cohérente dans leur environnement peut rapidement devenir très difficile à mettre en œuvre. Lorsque l'environnement à augmenter est de grande taille ou présente une géométrie ou un éclairage complexe, sa modélisation devient alors fastidieuse et l'utilisation de ces modèles dans le rendu d'images augmentées réalistes est très coûteuse en ressources. D'un autre côté, des applications telles que la réalité augmentée ont besoin de méthodes de rendu efficaces pour fonctionner en temps réel. Elles doivent, par ailleurs, pouvoir s'adapter automatiquement à des environnements a priori inconnus avec pour seule source d'informations les images acquises progressivement dans ces derniers. Dans cette thèse, nous nous sommes appuyés sur les méthodes développées en vision par ordinateur, en modélisation à partir d'images et en synthèse d'images pour proposer une approche globale au problème d'augmentation cohérente d'environnements complexes et progressivement découverts. Nous y développons de nouvelles méthodes d'acquisition permettant d'obtenir des images RGB+Z avec une grande dynamique et localisées dans l'environnement. Nous présentons ensuite comment exploiter cette source d'information pour construire incrémentalement des représentations de la géométrie et de l'éclairement de la scène à augmenter. Enfin, nous apportons de nouvelles approches de rendu adaptées à ces modélisations et permettant une génération rapide d'images augmentées où l'éclairement des objets synthétiques reste cohérent avec celui de l'environnement / Today, augmented images are parts of our daily life. From movie industry to video games through architecture and object design, many applications need to display synthetic objects into a real context. However, coherently integrating objects in their environment may be a difficult task. When the environment is vast or includes complex geometry or lighting, its modelling is tedious and using its model to render augmented images is resource-consuming. Moreover, applications like augmented reality need efficient real-time rendering. They also have to automatically adapt to unmodelled environments, while progressively acquiring data from incoming images. In this thesis, we based our work on computer vision, image-based modelling and rendering methods to propose a global approach to the problem of progressively discovered and complex environment coherent augmentation. We first develop new acquisition methods to get high dynamic range RGB+Z registered images of the environment. Then we explain how to use these informations to incrementally build models of scene geometry and lighting. Finally, we provide new rendering approaches using these models and suitable for an efficient and photometrically coherent image augmentation

This thesis presents the development of a new multiscale stochastic fracture mechanics modelling framework informed by in-situ X-ray Computed Tomography (X-ray CT) tests, which can be used to enhance the quality of new designs and prognosis practices for fibre reinforced composites. To reduce the empiricism and conservatism of existing methods, this PhD research systematically has tackled several challenging tasks including: (i) extension of the cohesive interface crack model to multi-phase composites in both 2D and 3D, (ii) development of a new in-house loading rig to support in-situ X-ray CT tests, (iii) reconstruction of low phase-contrast X-ray CT datasets of carbon fibre composites, (iv) integration of X-ray CT image-based models into detailed crack propagation FE modelling and (v) validation of a partially informed multiscale stochastic modelling method by direct comparison with in-situ X-ray CT tensile test results.

Dans cette thèse, nous avons abordé deux problèmes de modélisation mathématique pour la propagation des signaux électriques cardiaques : la propagation à l’échelle tissulaire en présence d’hétérogénéités et la propagation à l’échelle cellulaire avec des jonctions communicantes non linéaires. Inclusions diffusives. Le modèle standard utilisé en électrocardiologie est le modèle bidomaine. Il est déduit par homogénéisation des propriétés microscopiques du tissu. Pour cela, on suppose que les myocytes électriquement actifs sont uniformément répartis dans le coeur. Bien que ce soit une hypothèse raisonnable pour des coeurs sains, ce n’est plus vrai dans certains cas pathologiques où des changements importants dans la structure tissulaire se produisent. C’est le cas, par exemple des maladies cardiaques ischémiques, rhumatismales et inflammatoires, de l’hypertrophie ou de l’infarctus. Ces hétérogénéités tissulaires sont souvent prises en compte à l’aide d’un ajustement ad hoc des paramètres du modèle. Le premier objectif de cette thèse consistait à généraliser les équations du modèle bidomaine au cas des pathologies cardiaques structurelles.Nous avons supposé une alternance périodique d’éléments de tissus sains (modèle bidomaine) et modifiées (inclusions diffusives). La simulation numérique directe d’un tel modèle nécessite une discrétisation très fine, et entraîne un coût de calcul élevé. Pour éviter cela, nous avons construit un modèle homogénéisé à l’échelle macroscopique en utilisant une analyse à deux échelles. Nous avons retrouvé un modèle de type bidomaine avec des coefficients de conductivité modifiés, dits effectifs. En complément, nous avons effectué une vérification numérique de la convergence du modèle microscopique vers celui homogénéisé, dans une situation bidimensionnelle.Dans la deuxième partie, nous avons quantifié les effets de différentes formes d’inclusions diffusives sur les coefficients de conductivité effectifs et leur anisotropie en 2D et 3D. De plus, nous avons effectué des simulations sur des domaines représentant des morceaux de tissu 2D avec ces coefficients de conductivité modifiés. Nous avons observé des changements de la vitesse de propagation et de la forme du front de l’onde de dépolarisation. Dans la troisième partie, nous avons simulé le modèle homogénéisé en 3D, à partir d’images par résonance magnétique (IRM) à haute résolution d’un coeur de rat. Nous avons évalué les propriétés structurelles du tissu en utilisant des outils d’analyse d’image.Nous avons ensuite utilisés ces évaluations pour construire les paramètres dans le modèle homogénéisé. Jonctions communicantes non linéaires. Dans la dernière partie de cette thèse, nous avons étudié les effets du comportement non linéaires des jonctions communicantes sur la propagation du signal à l’échelle cellulaire. Dans les modèles existants, les jonctions communicantes sont supposées avoir un comportement linéaire, lorsqu’elles sont modélisées.Cependant les données provenant des expériences montrent que ceux-ci ont un comportement non linéaire dépendant du temps et de la différence de potentiel entre cellules voisines. D’abord, nous avons présenté un modèle non linéaire 0D du courant dans les jonctions communicantes. Ensuite, nous avons recalé le modèle sur les données expérimentales.Enfin, nous avons proposé un modèle mathématique 2D qui décrit l’interaction électrique des myocytes cardiaques à l’échelle cellulaire. Ce modèle utilise le courant dans les jonctions communicantes comme une liaison directe entre des cellules adjacentes. / In this thesis we addressed two problems in mathematical modelling of propagation of electrical signals in the heart: tissue scale propagation with presence of tissue heterogeneities and cell scale propagation with non-linear gap junctions. Diffusive inclusions. The standard model used in cardiac electrophysiology is the bidomain model. It is an averaged model derived from the microscopic properties of the tissue.The bidomain model assumes that the electrically active myocytes are present uniformly everywhere in the heart. While this is a reasonable assumption for healthy hearts, it fails insome pathological cases where significant changes in the tissue structure occur, for examplein ischaemic and rheumatic heart disease, inflammation, hypertrophy, or infarction. These tissue heterogeneities are often taken into account through an ad-hoc tuning of model parameters. The first aim of this thesis consisted in generalizing the bidomain equations to the case of structural heart diseases.We assumed a periodic alternation of healthy (bidomain model) and altered (diffusive inclusion) tissue patches. Such a model may be simulated directly, at the high computational cost of a very fine discretisation. Instead we derived a homogenized model at the macroscopic scale, using a rigorous two-scale analysis. We recovered a bidomain-type model with modified conductivity coefficients, and performed a 2D numerical verificationof the convergence of the microscopic model towards the homogenized one.In the second part we quantified the effects of different shapes and sizes of diffusive inclusions on the effective conductivity coefficients and their anisotropy ratios in 2D and3D. Additionally, we ran simulations on 2D patches of tissue with modified conductivity coefficients. We observed changes in the propagation velocity as well as in the shape of the depolarization wave-front.In the third part, based on high-resolution MR images of a rat heart we simulated 3D propagations with the homogenized model. Using image analysis software tools we assessed the structural properties of the tissue, that we used afterwards as parameters inthe homogenized model. Non-linear gap junctions. In the last part of this thesis, we studied the effects of nonlineargap junction channels on the signal propagation at the cell scale. In existing models, the gap junction channels, if modelled, are assumed to have a linear behaviour, while from experimental data we know that they have a time- and voltage-dependent non-linear behaviour. Firstly, we stated a non-linear 0D model for the gap junctional current, and secondly fitted the model to available experimental data. Finally, we proposed a 2D mathematical model that describes the electrical interaction of cardiac myocytes on the cell scale. It accounts for the gap junctional current as "the direct link" between the adjacent cells.