Pressboard, a high density cellulose-based material used for insulation in high voltage power transformers, exhibits stress relaxation during compressive loading. Investigating the micro-mechanical mechanisms responsible for the relaxation can lead to modifications of the production process to control the behaviour of the material. This investigation can be done using Synchrotron X-ray micro Computed Tomography which provides sufficient temporal and spatial resolutions to capture the stress relaxation process. In the present thesis, a compression rig for in-situ mechanical loading during X-ray micro Computed Tomography was designed and constructed. Local tomography scans with sub-micrometre resolution were obtained at the TOMCAT beamline at the Swiss Light Source, Paul Scherrer Institut, Switzerland. Several fibre segmentation techniques are analysed, together with Optical Flow and Digital Volume Correlation (DVC), methods used for estimating displacement, strain and velocity vector fields. Suitability of the tested methods is evaluated, and it is found that segmentation of individual fibres in a cellulose material of such a high density is probably not possible using currently available segmentation techniques. The movements during relaxation are measurable at the used resolution, and can be estimated using Optical Flow. Further work into correction of image shift due to rig movement between scans, as well as image artefact reduction should allow for measurement and comparisons of displacement during relaxation as well as DVC-computed strain measurements during compression, recreating earlier results.

Dual-phase (DP) sheet steels are a class of advanced high strength steels which boast a desirable combination of properties for the forming of automotive components, including: high strength, continuous yielding behaviour, and a high initial work hardening rate. The higher strength of DP steels relative to predecessors used to form automotive components allows for a reduction in part gauge, translating to the potential for reduced automobile weight, emissions, and fuel consumption. However, a form of premature failure during component forming known as `shear fracture' has become a prominent challenge to manufacturers' adoption of DP steels. Martensite particles in DP steel microstructures act as nucleation sites for the development of void damage during deformation, resulting in a deleterious effect upon formability and thought to contribute to the observed shear fractures. This dissertation contributes to the overall goal of offering guidance for the improvement of DP steel microstructures for more desirable fracture behaviour. Specifically, the role of non-ferritic phase/constituent (NFP) volume percent and spatial distribution in the accumulation of void damage in DP steels was investigated. Void damage accumulation in ten DP steel microstructural variants tested to failure under near plane-strain deformation was qualified and quantified in three dimensions using an X-ray micro-computed tomography technique. These results were correlated to the microstructural parameters of the variants, which clearly indicated the detrimental effects of NFP banding in DP steels. It was observed that DP microstructures with increased severity of NFP banding (generally aligned in the sheet rolling direction) incurred a reduced strain to failure. Often, microstructural variants with NFP bands aligned transverse to the major loading direction incurred a reduced strain to failure, accumulated a greater number of voids, and exhibited a larger void volume percent than a specimen with oppositely oriented NFP bands. Void damage spatial distribution was generally reflective of the spatial distribution of the most coarse NFP bands through the sheet thickness. In microstructural variants with NFP bands aligned transverse to the major loading direction, accumulated void damage was often observed to be highly elongated in the direction of NFP banding. / Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2011-09-30 11:49:18.645

The use of lime for soil stabilization has greatly increased since the second half of the 20th century. A lot of research has been conducted to understand the mechanisms of stabilization. These mechanisms are caused by pozzolanic reactions between lime and clay minerals. However, it has not yet been possible to quantify the factors affecting the evolution of these reactions. The variety of soils and the disruptive elements do not allow comparing these soils with each other and giving any quantitative and generalized conclusions in terms of mechanical improvement. The goal of this study is to build a progressive understanding of this phenomenon by avoiding any disruptive elements and controlling most of the parameters. Consequently, the choice is made to study a synthetic soil by controlling its particle size distribution and composition. This soil is a mixture of sand and bentonite taken at different compositions. An analysis of the evolution of lime treatment on such model soils is carried out on two scales: the macroscopic scale and the microscopic scale. The macroscopic scale studies the evolution through unconfined compressive strength, lime consumption, electrical resistivity as well as complementary studies such as sonic and triaxial tests. Results from macroscopic tests show that sand takes an important part into soil stabilization, meaning that a soil containing a lot of clay does not necessary give the best long term mechanical characteristics. Tests that allow a much more detailed comprehension of stabilization are also presented. Microscopic evolution is studied through X-Ray Computed Tomography and Mercury Intrusion Porosimetry. A study on tomographic image treatment has also been carried out to segment the images from its different constituents. / L'utilisation de la chaux pour stabiliser le sol s'est considérablement déve-lop-pée depuis la seconde moitié du 20e siècle. De nombreuses recherches ont vu le jour pour comprendre les mécanis-mes de cette stabilisation. Ces mé-ca-nis-mes sont causés par les réactions pouzzolaniques entre la chaux et les minéraux argileux. Cependant, il n'a pas encore été possible de quantifier totalement les facteurs influençant le déroulement de ces réactions. La diversité des sols et la présence d'éléments perturbateurs ne permettent pas de les comparer et d'en tirer des conclusions quantitatives et généralisables en termes d'amélioration des paramètres mécaniques. Cette étude envisage donc de construire une compréhension progressive du phénomène en ne prenant pas en compte les éléments perturbateurs et en contrôlant à priori un maximum de paramètres. Pour ce faire, il est proposé d'étudier un sol synthétique dont la granulométrie et la composition peuvent être contrôlées. Ce sol est un mélange de sable et de bentonite pris à différentes compositions. Une analyse sur l'évolution du traitement à la chaux est alors effectuée sur ces mélanges sur deux échelles :l'échelle macroscopique et l'échelle microscopique. L'échelle macroscopique envisage des essais de compression simple, de consommation de chaux, de résistivité électrique ainsi que des essais complémentaires tels que les essais soniques et triaxiaux. Les résultats macroscopiques montrent que le sable joue un rôle important dans la stabilisation, le sol présentant la fraction argileuse la plus importante n'ayant pas les meilleures caractéristiques mécaniques à long terme. Les tests permettant une compréhension plus fine de cette stabilisation sont également présentés. L'échelle microscopique est étudiée via la tomographie aux rayons-X et la porosimétrie au mercure. Une étude sur le traitement des images tomographiques est aussi mise en oeuvre pour segmenter de manière adéquate les images de ses différents constituants. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

The Ottawa Embayment is a intracratonic rift basin that preserves a unique and eventful history through deep time. Its evolution records opening of the Iapetus Ocean with the break-up of Rodinia, followed by the formation of a continental passive margin, trapping siliciclastic sediments eroded from the adjacent Grenville Province. Samples were collected from a transect across the crystalline rift flank and through the embayment. We investigate the influence of crystallinitiy and non-ideal crystal chapes on He diffusion and resulting zircon (U-Th)/He age with the use of zircon (U-Th)/He thermochronometry, raman spectroscopy and x-ray micro-computed tomography. We then integrate our thermochronology data with regional geology to utilize multi-sample numerical modelling to improve our understanding of the thermal history of the Ottawa Embayment and the evolution of intracratonic rift basins. The works collected within define a comprehensive temperature-time history for the basin and rift flank from the Late-Mesoproterozoic to present day.

No description available.

The understanding of multiphase flow properties is essential for the exploitation of hydrocarbon reserves in a reservoir; these properties in turn are dependent on the geometric properties and connectivity of the pore space. The determination of the pore size distribution in carbonate reservoirs remains challenging; carbonates exhibit complex pore structures comprising length scales from nanometers to several centimeters. A major challenge to the accurate evaluation of these reservoirs is accounting for pore scale heterogeneity on multiple scales. This is the topic of this thesis. Conventionally, this micron scale information is achieved either by building stochastic models using 2D images or by combining log and laboratory data to classify pore types and their behaviour. None of these capture the true 3D connectivity vital for flow characterisation. We present here an approach to build realistic 3D network models across a range of scales to improve property estimation through employment of X-ray micro-Computed Tomography (μCT) and Focussed Ion Beam Tomography (FIBT). The submicron, or microporous, regions are delineated through a differential imaging technique undertaken on x-ray CT providing a qualitative description of microporosity. Various 3-Phase segmentation methods are then applied for quantitative characterisation of those regions utilising the attenuation coefficient values from the 3D tomographic images. X-ray micro-CT is resolution limited and can not resolve the detailed geometrical features of the submicron pores. FIB tomography is used to image the 3D pore structure of submicron pores down to a scale of tens of nanometers. We describe the experimental development and subsequent image processing including issues and difficulties resolved at various stages. The developed methodology is implemented on cores from producing wackstone and grainstone reservoirs. Pore network models are generated to characterise the 3D interconnectivity of pores. We perform the simulations of petrophysical properties (permeability and formation resistivity) directly on the submicron scale image data. Simulated drainage capillary pressure curves are matched with the experimental data. We also present some preliminary results for the integration of multiscale pore information to build dual-scale network models. The integration of multiscale data allows one to select appropriate effective medium theories to incorporate sub-micron structure into property calculations at macro scale giving a more realistic estimation of properties.

The understanding of multiphase flow properties is essential for the exploitation of hydrocarbon reserves in a reservoir; these properties in turn are dependent on the geometric properties and connectivity of the pore space. The determination of the pore size distribution in carbonate reservoirs remains challenging; carbonates exhibit complex pore structures comprising length scales from nanometers to several centimeters. A major challenge to the accurate evaluation of these reservoirs is accounting for pore scale heterogeneity on multiple scales. This is the topic of this thesis. Conventionally, this micron scale information is achieved either by building stochastic models using 2D images or by combining log and laboratory data to classify pore types and their behaviour. None of these capture the true 3D connectivity vital for flow characterisation. We present here an approach to build realistic 3D network models across a range of scales to improve property estimation through employment of X-ray micro-Computed Tomography (μCT) and Focussed Ion Beam Tomography (FIBT). The submicron, or microporous, regions are delineated through a differential imaging technique undertaken on x-ray CT providing a qualitative description of microporosity. Various 3-Phase segmentation methods are then applied for quantitative characterisation of those regions utilising the attenuation coefficient values from the 3D tomographic images. X-ray micro-CT is resolution limited and can not resolve the detailed geometrical features of the submicron pores. FIB tomography is used to image the 3D pore structure of submicron pores down to a scale of tens of nanometers. We describe the experimental development and subsequent image processing including issues and difficulties resolved at various stages. The developed methodology is implemented on cores from producing wackstone and grainstone reservoirs. Pore network models are generated to characterise the 3D interconnectivity of pores. We perform the simulations of petrophysical properties (permeability and formation resistivity) directly on the submicron scale image data. Simulated drainage capillary pressure curves are matched with the experimental data. We also present some preliminary results for the integration of multiscale pore information to build dual-scale network models. The integration of multiscale data allows one to select appropriate effective medium theories to incorporate sub-micron structure into property calculations at macro scale giving a more realistic estimation of properties.

Automatická segmentace biologických struktur v mikro-CT datech je stále výzvou, protože často objekt zájmu (v našem případě obličejová chrupavka) není charakterizovaný unikátním jasem či ostrými hranicemi. V posledních letech se konvoluční neuronové sítě (CNNs) staly mimořádně populárními v mnoha oblastech počítačového vidění. Konkrétně pro segmentaci biomedicínských obrazů je široce používaná architektura U-Net. Nicméně v případě mikro-CT dat vyvstává otázka, zda by nebylo výhodnější použít 3D CNN. Diplomová práce navrhla CNN architekturu založenou na síti V-Net včetně metodologie pro předzpracování a postprocessing dat. Základní architektura byla dále optimalizována pomocí pokročilých architektonických modifikací jako jsou pyramidální modul dilatovaných konvolucí (ASPP modul), škálovatelná exponenciálně-lineární jednotka (SELU aktivační funkce), víceúrovňová kontrola učení (multi-output supervision) či bloky s hustými propojeními (Dense blocks). Pro učení sítě byly použity moderní přístupy jako zahřívání kroku učení (learning rate warmup) či AdamW optimalizátor. I přes to, že 3D CNN v úloze segmentace obličejové chrupavky nepřekonala U-Net, optimalizace zvýšila medián Dice koeficientu z 69,74 % na 80,01 %. Používání těchto pokročilých architektonických modifikací v dalším výzkumu je proto vřele doporučováno, jelikož můžou být přidány do libovolné architektury typu U-Net a zároveň výrazně zlepšit výsledky.

No description available.

[pt] entendimento do macro comportamento dos materiais, este trabalho apresenta soluções inovadoras para a análise de imagens 3D obtidas por microtomografia computadorizada de raios-X (microCT). O material estudado conhecido pelo termo em inglês “strain-hardening cement-based composites” ou pela abreviação SHCC é um compósito cimentício reforçado com fibras que atinge deformações significativas através da formação de múltiplas fissuras, estabelecendo um material cimentício com característica pseudo-dúctil. O primeiro desafio deste trabalho foi reconhecer e quantificar as fases constituintes nas imagens 3D de SHCC obtidas por microCT. Materiais com estruturas complexas podem apresentar imagens em que as fases internas não podem ser distinguidas pela técnica de limiarização clássica, exigindo o uso de outra técnica como a segmentação por Deep Learning (DL). Portanto, este trabalho utilizou DL como solução para esta tarefa. Desta forma, as características de cada fases puderam ser correlacionadas ao comportamento mecânico macro do material em ensaios de microCT in-situ. Outro método moderno de análise de imagens 3D utilizado foi a correlação digital de volume (em inglês, digital volume correlation - DVC). O DVC é uma técnica que estima o campo de deformação sobre todo o volume da amostra, correlacionando as imagens 3D nos estados descarregado e carregado. Assim, as imagens obtidas nos ensaios de tração e compressão in-situ puderam ter seus deslocamentos internos medidos e deformações calculadas. Em síntese, este trabalho trouxe avanços ao campo do processamento digital e análise de imagens 3D, aplicadas a materiais cimentícios, mas que também podem se adaptar à análise de diversos materiais. / [en] Considering the importance of micro and mesoscale analyses to understand the macro behavior of materials, this work brings innovative solutions for analyzing 3D images obtained by X-ray micro-computed tomography (microCT). The studied material was the strain-hardening cement-based composites (SHCC), a fiber reinforced cementitious composite that achieves significant deformations through multiple cracks formation, resulting in a cementitious material with pseudo ductile features. The first challenge of this work was to recognize and quantify the constituent phases in the 3D images of SHCC obtained by microCT. Materials with complex structures may present images in which the internal phases cannot be distinguished by the classical thresholding technique, requiring the use of another technique such as segmentation by Deep Learning (DL). Therefore, this work used DL as a solution for this task. Then, the features of each phase could be correlated to the macro mechanical behavior of the material in in-situ microCT tests. Another modern method for analyzing 3D images used was the digital volume correlation (DVC). DVC is a technique that estimates full-field strain in 3D over the entire volume of the specimen by correlating imaging volumes of the specimen in unloaded and loaded states. Thus, the images obtained from tensile and compression in-situ tests could have their internal displacements measured and strain calculated. In summary, this work brought advances to the 3D image processing and analysis field, applied to cementitious materials, but which could also adapt for the analysis of various materials.