The natural soils and sedimentary rocks are typically formed by deposition and progressive consolidation of marine sediments. Consequently, they are characterized by the presence of closely spaced bedding planes, resulting in anisotropy in their mechanical behaviour. Among anisotropic rocks, the group of sedimentary rocks known as shales is of a particular interest as it is often the host rock in nuclear waste storage and oil industry. The Tournemire shales are anisotropic in terms of deformability and the failure mode, which means that complex constitutive models should be used to describe their mechanical response. In this thesis a pragmatic methodology based on the notion of a microstructure tensor, as suggested by Pietruszczak and Mroz (2001), has been employed for the description of orientation dependent characteristics of Tournemire shale. This has been combined with a plasticity framework that incorporates an anisotropic deviatoric hardening. The formulation requires identification of several parameters including strength descriptors associated with the failure criterion and constants that are involved in describing the anisotropy and strain hardening. All the material functions/parameters have been identified here based on the experimental results reported by Niandou et al. (1997). Using those parameters, the numerical simulations of a number of triaxial tests were conducted and the results compared with the experimental data in order to verify the performance of the model. After the verification stage, the formulation was incorporated in a commercial FE code (Abaqus/standard) using the UMAT interface and was then applied to a numerical analysis of a tunnel excavation within the anisotropic rock mass. The numerical results, including the distribution of the damage and vertical/horizontal displacements, have been compared for different orientations of the bedding planes. / Thesis / Master of Applied Science (MASc)

Aircraft flight test data are processed by optimal estimation programs to estimate the aircraft state trajectory (3 DOF) and to identify the unknown parameters, including constant biases and scale factor of the measurement instrumentation system. The methods applied in processing aircraft flight test data are the iterative extended Kalman filter/smoother and fixed-point smoother (IEKFSFPS) method and the two-step estimator (TSE) method. The models of an aircraft flight dynamic system and measurement instrumentation system are established. The principles of IEKFSFPS and TSE methods are derived and summarized, and their algorithms are programmed with MATLAB codes. Several numerical experiments of flight data processing and parameter identification are carried out by using IEKFSFPS and TSE algorithm programs. Comparison and discussion of the simulation results with the two methods are made. The TSE+IEKFSFPS combination method is presented and proven to be effective and practical. Figures and tables of the results are presented.

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>Les maladies cardiovasculaires sont la première cause de mortalité dans le monde et font actuellement l’objet de nombreuses recherches. Dans le cas d’études des artères, un des objectifs est d’améliorer la compréhension des mécanismes biologiques impliqués dans des maladies comme l’hypertension, l’athérosclérose ou l’anévrisme. Les études mécaniques qui ont été menées s’appuient essentiellement sur des approches expérimentales in vitro, ce qui en limite leur intérêt et application dans le diagnostic clinique. Dans ce travail, un modèle théorique de comportement mécanique 3D de l’artère carotide prenant en compte le caractère hyperélastique, anisotrope, actif, précontraint et dynamique de la structure est proposé. Les mesures expérimentales sont obtenues in vivo sur des carotides communes de rats d’une part, et humaines de manière non invasive, d’autre part. Le problème mécanique aux limites est résolu semi-analytiquement sur un cycle cardiaque, considérant le tissu environnant. Les valeurs optimales des paramètres du modèle, en particulier de ceux décrivant les caractéristiques mécaniques de microconstituants pariétaux (élastine, collagène, muscle lisse), sont évaluées par régression non linéaire. Le modèle proposé permet (i) de reproduire les évolutions de pression luminale mesurées in vivo et (ii) de donner une évaluation des distributions de contraintes pariétales cohérentes avec la physiologie artérielle. Une corrélation entre l’âge des patients et les paramètres décrivant les contraintes résiduelles et les fibres de collagène, montre l’intérêt du modèle théorique et l’originalité de cette approche qui pourra donc être utilisée dans l’étude de pathologies artérielles. / Cardiovascular diseases are the number one cause of death globally and they are currently the subject of many researches. In studies of arteries, one of the aims is to improve understanding in biological mechanisms involved in diseases such as hypertension, atherosclerosis or aneurysm. The mechanical studies that were carried out predominantly rely on in vitro experimental testing, which limit their interest and application in clinical diagnosis. In this work, a theoretical modelling of the 3D carotid artery mechanical behaviour is proposed by assuming a hyperelastic, anisotropic, active, pre-stretched and dynamic wall structure. The experimental measurements were obtained in vivo from rat and human common carotid arteries, with non invasive recordings in the human case. The mechanical boundary value problem is solved semi-analytically over a cardiac cycle by also assuming the surrounding perivascular tissue. The best-fit values of the model parameters are estimated by nonlinear least-squares method, in particular those describing the mechanical characteristics of wall microconstituents (elastin, collagen, smooth muscle). The proposed modelling is able (i) to reconstruct the in vivo dynamic measured intraluminal pressures and (ii) to compute the wall stress fields which seem to be consistent with the arterial physiology. A correlation between patient age and the parameters related to residual stresses and collagen fibres shows the relevance of the theoretical modelling and the originality of the approach which, thereby, would be able to be used in studies of arterial pathological cases.

Ce travail de thèse porte sur une catégorie de matériaux actifs dénommés Elastomères Magnéto-Rhéologiques (EMR). Ces derniers sont composés de particules micrométriques et magnétisables imprégnées dans une matrice élastomère isolante. Il est possible de modifier les propriétés mécaniques de tels matériaux en les soumettant à un champ magnétique externe. Avec pour objectif d’aboutir à une caractérisation couplée (magnéto-mécanique) du comportement des EMRs en grandes déformations et en présence de champs magnétiques élevés, ce travail propose une approche à la fois expérimentale, théorique et numérique.La première partie de ce travail s’intéresse à des aspects expérimentaux où l’influence de la microstructure (isotrope et transverse isotrope) et l’influence de la fraction volumique de particules sont étudiées. Un échantillon dédié est développé afin d’obtenir simultanément des champs mécaniques et magnétiques les plus homogènes possibles dans celui-ci lors d’une caractérisation couplée. La question de l’adhésion interfaciale entre les particules de fer doux et la matrice en silicone est également traitée et il est montré qu’un traitement chimique des particules est nécessaire afin d’éviter toute décohésion avec la matrice lorsque le matériau est soumis à un champ magnétique externe. Avant d’analyser les données obtenues, le dispositif expérimental permettant d’obtenir de manière simultanée une mesure du champ de déformation en trois dimensions et une mesure des champs magnétiques internes, est décrit. Malgré l’ensemble des difficultés expérimentales en grande partie dûes à des phénomènes d’instabilité qui sont omniprésents chez les EMRs, de nombreuses données sont collectées et serviront à la calibration des lois de comportement.La seconde partie de cette thèse couvre la modélisation couplée magnéto-mécanique des EMRs en s’appuyant sur le cadre théorique général des solides magnéto-élastiques proposé par Kankanala, Triantafyllidis et Danas (2004, 2012, 2014). En particulier, la méthode énergétique (qui s’appuie sur l’utilisation d’une fonction d’énergie libre) est préférée et des formulations variationnelles équivalentes (qui diffèrent entre elles simplement par le choix de la variable magnétique indépendante utilisée pour décrire le problème : B, H ou M) sont proposées et implémentées dans des codes numériques 3D s’appuyant sur la méthode des éléments finis. Ces outils numériques sont combinés à la méthode de minimisation des moindres carrés afin d’obtenir l’ensemble des paramètres matériaux du modèle de comportement des EMRs. L’utilisation de simulations numériques est nécessaire car une approche purement analytique ne permettrait pas de modéliser « l’effet de forme » observé expérimentalement. En effet, il est primordial de modéliser ce dernier car dans le cas contraire les paramètres identifiés dépendraient de la forme de l’échantillon expérimental et ne décriraient pas uniquement le matériau.La troisième partie de cette étude décrit en détail l’implémentation numérique des différentes formulations variationnelles proposées précédemment. Dans chacun des cas, il est prouvé que l’utilisation d’éléments isoparamétriques est bien adaptée. De nombreuses difficultés numériques ont été observées dans le cas des formulations variationnelles utilisant le champ de déplacement et le potentiel vecteur magnétique comme variables indépendantes. L’ensemble de ces difficultés (comme par exemple la minimisation de l’énergie potentielle sous la contrainte imposée par la jauge de Coulomb) est surmonté dans ce travail. Avant de décrire les différents problèmes tests utilisés pour s’assurer de la validité et de la précision des codes numériques, les différentes étapes nécessaires à la simulation d’un problème aux limites sont expliquées. Plus précisément, les questions liées aux spécificités des conditions aux limites à appliquer sur le potentiel vecteur magnétique ou encore aux conditions de symétries, sont traitées. / In this thesis, we study a class of “active materials” called Magnetorheological elastomers (MRE) which are ferromagnetic impregnated rubbers whose mechanical properties are altered by the application of external magnetic fields. With the purpose of characterizing the behavior of MREs up to large strains and high magnetic fields, this work brings a completely novel experimental, theoretical and numerical approach.The first part of this study focuses on an experimental investigation of MRE where multiple microstructures (isotropic and transversely isotropic materials) and multiple particles’ volume fraction are tested. A special sample geometry is designed in order to increase the uniformity of internal magnetic and mechanical fields measured during coupled-field experiments. The interfacial adhesion between the iron fillers and the silicone matrix is investigated and we show that when specimens are subjected to external magnetic fields, a silane primer treatment of the particles is needed to prevent debonding at the interface particle/matrix. Then, we present the magneto-mechanical testing setup that allows simultaneous 3D mechanical and magnetic measurements before discussing the results. Even if is found that instabilities are ubiquitous in MREs, lots of useful data are collected and will be used to compute the parameters proposed in the material model.The second part of the thesis is dedicated to the modeling of isotropic MREs. The continuum description proposed by Kankanala, Triantafyllidis and Danas (2004, 2012, 2014) to derive constitutive laws that account for finite strains is used and, in particular, the energetic approach (that requires an energy density function) is chosen. Multiple equivalent variational formulation alternatives (based on different choices of the independent magnetic variable used in the energy function: B, H or M) are given and implemented into 3D finite element (FEM) codes. Based on the use of FEM simulation in combination with least square optimization methods, the previously collected experimental data are fitted and all three energy functions ψB , ψH and ψM are computed. The obtained material model proves to have excellent predictive capabilities when compared to other experiments not used in the fitting process. The use of numerical tools is necessary to make sure that the calculated material parameters are not influenced by the shape of experimental specimens.The last part of this work details the numerical implementation of the different variational formulations. For each one of them, it is found that isoparametric elements are well suited to simulate coupled magneto-mechanical boundary value problems. We show that special care is needed when implementing variational formulations using the displacement vector and the magnetic vector potential as independent variables. Indeed, ensuring the uniqueness of the vector potential requires to numerically enforce the Coulomb gauge, which leads to numerical complications that are addressed in this thesis. Before describing the different patch tests that have been considered to validate the numerical codes, we show which are the valid boundary conditions for the magnetic vector potential and how to use the symmetry properties of a given boundary value problem to reduce its complexity and the computational resources needed to solve it.

This thesis analyses, develops and implements a very fast on-line parameter identification algorithm for both rotor and stator resistances of a rotor flux oriented induction motor drive, with the best possible convergence results using artificial neural networks and fuzzy logic systems. The thesis focuses mainly on identifying the rotor resistance, which is the most critical parameter for RFOC. Limitations of PI and fuzzy logic based estimators were identified. Artificial neural network based estimators were found to track the rotor and stator resistances of the drive accurately and fast. The rotor flux of the induction motor estimated with a classical voltage model was the key input of the rotor resistance estimator. Because, pure digital integrators were unable to play this role, an alternative rotor flux synthesizer using a programmable cascaded filter was developed. This rotor flux synthesizer has been used for all of the resistance estimators. It was found that the error in rotor resistance estimation using an ANN was contributed to by error in the stator resistance (caused by motor heating). Several stator resistance estimators using the stator current measurements were developed. The limitations of a PI and a fuzzy estimator for stator resistance estimation were also established. A new stator resistance identifier using an ANN was found to be much superior to the PI and fuzzy estimators, both in terms of dynamic estimation times and convergence problems. The rotor resistance estimator developed for this thesis used a feedforward neural network and the stator resistance estimator used a recurrent neural network. Both networks exhibited excellent learning capabilities; the stator resistance estimator network was very fast as it had a feedback input. A speed estimator was also developed with the state estimation principles, with the updated motor parameters supplied by the ANN estimators. Analysis for speed sensorless operation has shown that the stator and rotor resistances could be updated on-line.

Gas bearings in oil-free micro-turbomachinery for process gas applications and for power generation (< 400 kW) must offer adequate load capacity and thermal stability, reliable rotordynamic performance at high speeds and temperatures, low power losses and minimal maintenance costs. The metal mesh foil bearing (MMFB) is a promising foil bearing technology offering inexpensive manufacturing cost, large inherent material energy dissipation mechanism, and custom-tailored stiffness and damping properties. This dissertation presents predictions and measurements of the dynamic forced performance of various high speed and high temperature MMFBs. MMFB forced performance depends mainly on its elastic support structure, consisting of arcuate metal mesh pads and a smooth top foil. The analysis models the top foil as a 2D finite element (FE) shell supported uniformly by a metal mesh under-layer. The solution of the structural FE model coupled with a gas film model, governed by the Reynolds equation, delivers the pressure distribution over the top foil and thus the load reaction. A perturbation analysis further renders the dynamic stiffness and damping coefficients for the bearing. The static and dynamic performance predictions are validated against limited published experimental data. A one-to-one comparison of the static and dynamic forced performance characteristics of a MMFB against a Generation I bump foil bearing (BFB) of similar size, with a slenderness ratio L/D=1.04, showcases the comparative performance of MMFB against a commercially available gas foil bearing design. The measurements of rotor lift-off speed and drag friction at start-up and airborne conditions are conducted for rotor speeds up to 70 krpm and under identical specific loads (W/LD =0.06 to 0.26 bar). The dynamic force coefficients of the bearings are estimated, in a ‘floating bearing’ type test rig, while floating atop a journal spinning to speeds as high as 50 krpm and with controlled static loads (22 N) applied in the vertical direction. The parameter identification is conducted in the frequency range of 200-400 Hz first, and then up to 600 Hz using higher load capacity shakers. A finite element rotordynamic program (XLTRC2) models a hollow rotor and two MMFBs supporting it and predict the synchronous rotor response for known imbalances. The predictions agree well with the ambient temperature rotor response measurements. Extensive rotor response measurements and rotor and bearing temperature measurements, with a coil heater warming up to 200 ºC and placed inside the hollow rotor, reveal the importance of adequate thermal management. The database of high speed high temperature performance measurements and the development of a predictive tool will aid in the design and deployment of MMFBs in commercial high-speed turbomachinery. The work presented in the dissertation is a cornerstone for future analytical developments and further testing of practical MMFBs.

Modal parameter identification of a structure is done through modal testing and modal analysis using various system identification methods. These methods employ linear input-output relationships to extract the modes of a structure. There are cases where laboratory testing of a structure is not possible or information about the structure under operating conditions is seeked. A set of techniques called Operational Modal Analysis have been developed for modal parameter identification in operating conditions of a structure. These techniques use only response measurements to extract the modes. The aim of this study is to investigate the applicability and use of three selected time-domain methods adapted to operational modal analysis. The algorithms are programmed in Matlab&copy / environment, and various cases are evaluated using computer simulations for each method. Two of the selected methods are evaluated on a laboratory scale test setup.

名古屋大学博士学位論文 学位の種類:工学博士 (論文) 学位授与年月日:平成1年12月8日