京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第19893号 / 工博第4209号 / 新制||工||1651(附属図書館) / 32970 / 京都大学大学院工学研究科材料工学専攻 / (主査)教授 辻 伸泰, 教授 白井 泰治, 教授 松原 英一郎 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

Formable Advanced High-Strength Steels (AHSS) have a unique combination of strength and ductility, making them ideal in the effort to lightweight vehicles. The AHSS in this study, Quenched and Partitioned 1180, rely on the Transformation Induced Plasticity (TRIP) effect, in which retained austenite (RA) grains transform to martensite during plastic deformation, providing extra ductility via the transformation event. Understanding the factors involved in RA transformation, such as local strain and grain attributes, is therefore key to optimizing the microstructure of these steels. This research seeks to increase understanding of those attributes and the correlations between microstructure and RA transformation in TRIP steels. To measure local strain, the viability of using forescatter detector (FSD) images as the basis for DIC study is investigated. Standard FSD techniques, along with an integrated EBSD / FSD approach (Pattern Region of Interest Analysis System), are both analyzed. Simultaneous strain and microstructure maps are obtained for tensile deformation up to around 6% strain. The method does not give sub-grain resolution, and surface feature evolution prevents DIC analysis across large strain steps; however, the data is easy to obtain and provides a natural set of complementary information for the EBSD analysis. In-situ tensile tests combined with EBSD allow RA grain and neighboring attributes to be characterized and corresponding transformation data to be obtained. However, pseudo-symmetry of the ferrite (BCC) and martensite (BCT) phases prevents EBSD from accurately identifying all phases. Measuring the relative distortion of the crystal lattice, tetragonality, is one approach to identifying the phases. Unfortunately, small errors in the pattern center can cause significant errors in tetragonality measurement. Therefore, this research utilizes a new approach for accurate pattern center determination using a strain minimization routine and applies it to tetragonality maps for phase identification. Tetragonality maps based on dynamically simulated patterns result in the most accurate maps and can also be used to predict approximate local carbon content. Machine learning is then used on the collected data to isolate key attributes of RA grains and provide a decision tree model to predict transformation based on those attributes. Among the most relevant attributes found, RA grain area, RA grain shape aspect ratio, a “hardness” factor, and major axis orientation are included. Possible correlations between these factors and transformation improve understanding of relevant attributes and show the advantage that machine learning can have in unravelling complex material behavior.

This dissertation contains the results from an experimental study, numerical, and analytical study conducted on quasi-isotropic carbon fiber laminates containing a center hole (notch) subjected to constant amplitude tension-tension fatigue loading in order to investigate the effect of fatigue damage development on the residual properties. Quasi-static tests were initially performed on notched composites using digital image correlation (DIC) to determine the strain profiles at selected transverse sections of the outer ply of the laminates and the static strength of the laminates. Subsequently, tension-tension fatigue tests were carried out at 70%, 75% and 80% of the nominal static failure load. A finite element model was developed using Abaqus and Digimat in which Digimat was used to implement the damage evolution model via a user-defined material subroutine. Damage initiation has been assessed using Hashin's failure criteria and the Matzenmiller model was adopted for damage evolution. A second finite element model was developed using Abaqus and Autodesk Simulation Composite Analysis (ASCA) in which ASCA was used to implement the user-material subroutine. The subroutine includes a failure initiation criterion based upon multi-continuum theory (MCT) and an energy-based damage evolution law. Numerical and experimental strain results were presented and compared for different section lines on the outer surface of the laminate at different loading stages. Additionally, the experimentally measured notched composite strength was compared with the predictions from the finite element solutions. These results are used as baseline for subsequent comparison with strain profiles obtained using DIC for specimens fatigued at different stress levels and fatigue lifetime fractions. The results showed a significant effect of fatigue damage development on strain redistribution even at early stages of fatigue. The results also showed the capability of DIC technique to identify damage initiation and its location. Furthermore, X-ray computed tomography (CT) was used to examine the sequence of damage development throughout the fatigue lifetime and to connect the observed damage mechanisms with the occurred change of strain profiles. Experimental vibrational modal analysis tests were also conducted to assess the effect of fatigue damage on the residual frequency responses (RFRs). Vibrational measurements were initially performed on pristine notched composites. The results are used as baseline for subsequent comparison with strain profiles obtained with DIC. Finite element models based on the classical plate theory (Kirchhoff) and the shear deformable theory (Mindlin) within the framework of equivalent single-layer and layer-wise concepts as well as the three-dimensional theory of elasticity are developed to predict the natural frequencies of non-fatigued specimen. These models are implemented using the finite element software, Abaqus, to determine the natural frequencies and the corresponding mode shapes. In addition, an analytical model based on Kirchhoff plate theory is developed. Using this approach, an equivalent bending-torsion beam model for cantilever laminated plates is extracted taking into account the reduction in local stiffness and mass induced by the center hole. Numerical and analytical natural frequency values are then compared with those obtained through experimental vibrational tests, and the accuracy of each finite element (FE) and analytical model type is assessed. It is shown that the natural frequencies obtained using the analytical and FE models are within 8% of the experimentally determined values. / Ph. D.

The current thesis focuses on the deformation behaviour and strain distribution in the microstructure of ductile iron during tensile loading. Utilizing Digital Image Correlation (DIC) and in-situ tensile test under optical microscope, a method was developed to measure high resolution strain in microstructural constitutes. In this method, a pit etching procedure was applied to generate a random speckle pattern for DIC measurement. The method was validated by benchmarking the measured properties with the material’s standard properties. Using DIC, strain maps in the microstructure of the ductile iron were measured, which showed a high level of heterogeneity even during elastic deformation. The early micro-cracks were initiated around graphite particles, where the highest amount of local strain was detected. Local strain at the onset of the micro-cracks were measured. It was observed that the micro-cracks were initiated above a threshold strain level, but with a large variation in the overall strain. A continuum Finite Element (FE) model containing a physical length scale was developed to predict strain on the microstructure of ductile iron. The materials parameters for this model were calculated by optimization, utilizing Ramberg-Osgood equation. For benchmarking, the predicted strain maps were compared to the strain maps measured by DIC, both qualitatively and quantitatively. The DIC and simulation strain maps conformed to a large extent resulting in the validation of the model in micro-scale level. Furthermore, the results obtained from the in-situ tensile test were compared to a FE-model which compromised cohesive elements to enable cracking. The stress-strain curve prediction of the FE simulation showed a good agreement with the stress-strain curve that was measured from the experiment. The cohesive model was able to accurately capture the main trends of microscale deformation such as localized elastic and plastic deformation and micro-crack initiation and propagation.

The Finite Element Method is a powerful and widespread tool for the structural analysis of flexible pipes and umbilicals. However, it is unfeasible to represent in detail all layers and components of a flexible pipe or umbilical cable in a Finite Element (FE) model, since the calculation time would be unrealistic. Moreover, consistent numerical analysis requires support from experimental results. In this context, this thesis presents numerical and experimental research options, as well as the development of new strategies for the design of FE models of flexible pipes and umbilicals. Using the commercial FE software ABAQUS, the text highlights the development of innovative techniques to represent helical layers, as well as the concept of a two-dimensional FE analysis, supported by analytical formulation. Complementing the numerical approaches, pioneer experimental techniques herein developed are presented, based on optical instrumentation through a Digital Image Correlation (DIC) system. An unconventional use of the DIC system enables the development of an experimental methodology to study umbilicals under crushing loads. / Na análise estrutural de tubos flexíveis e cabos umbilicais, o Método de Elementos Finitos se destaca como uma ferramenta poderosa e bastante difundida. Contudo, é inviável representar em modelos baseados em Elementos Finitos (EF) um tubo flexível ou um cabo umbilical com toda sua riqueza de detalhes, pois os tempos de cálculo seriam irreais. Além disso, análises numéricas consistentes precisam de respaldo de resultados experimentais. Neste contexto, esta tese apresenta linhas de pesquisa numérica e experimental. O desenvolvimento de novas estratégias para a concepção de modelos em EF de tubos flexíveis e cabos umbilicais é apresentado. Utilizando o software comercial ABAQUS, destacam-se técnicas inovadoras para representação das camadas helicoidais, bem como a obtenção de modelos EF bidimensionais, amparados por formulação analítica. Complementando as abordagens numéricas, técnicas pioneiras de análise experimental são apresentadas, baseando-se em instrumentação óptica com sistema de correlação digital de imagens. Utilizado de forma não convencional, o monitoramento óptico permite o desenvolvimento de metodologia experimental para estudo de cabos umbilicais sob carregamentos de crushing.

Currently, the maintenance and repair of civil engineering infrastructures (especially bridges and highways) have become increasingly important, as these structures age and deteriorate. Interface between two different mixes or strengths of concrete also appear in large concrete structures involving mass concreting such as dams, nuclear containment vessels, cooling towers etc., since joints between successive lifts are inevitable. These joints and interfaces are potential sites for crack formation, leading to weakening of mechanical strength and subsequent failure. In case of a bi-material interface, the stress singularities are oscillatory in nature and the fracture behavior of a concrete-concrete bi-material interface is much more complicated. A comprehensive experimental work has been undertaken for characterization of the behavior of different concrete-concrete interfaces under static and fatigue loading. The effect of specimen size on the concrete-concrete interfaces is studied and the non-linear fracture parameters such as fracture energy, mode I fracture toughness, critical crack tip opening displacement, critical crack length, length of process zone, brittleness number, size of process zone, crack growth resistance curve and tension softening diagram. These parameters are required for modeling the concrete-concrete interfaces in non-linear finite element analysis. Presently, the advanced non-destructive techniques namely acoustic emission, digital image correlation and micro-indentation have great capabilities to characterize the fracture behavior. The damage in plain concrete and concrete interface specimens is characterized both qualitatively and quantitatively using acoustic emission technique by measuring the width of fracture process zone and width of damage zones. The DIC technique is used to obtain the fracture parameters such as mode I and mode II fracture toughness and critical energy release rate. The micro-mechanical properties are obtained by performing depth-sensing micro-indentation tests on the concrete-concrete interfaces. Civil engineering structures such as long-span bridges, offshore structures, airport pavements and gravity dams are frequently subjected to variable-amplitude cyclic loadings in actual conditions. Hence, in order to understand the fracture behaviour under fatigue loading, the fatigue crack growth in plain concrete and concrete-concrete interface is also studied using the acoustic emission technique. An attempt is made to apply the Paris’ law, which is applicable to mechanical behaviour of metals, for acoustic emission count data. All these studies show that, as the difference in the compressive strength of concrete on either side of the interface increases, the load carrying capacity decreases and the fracture parameters indicate the increase in the brittleness of the specimens. It is concluded that the repair concrete should be selected in such a way that its elastic properties are as those of the parent concrete.

In current enterprises, simulations are being utilized to lessen the cost of product advancement.  Along this line, there is an awesome enthusiasm for enhancing precision and accuracy of simulations. For an accurate and reliable simulation, it is essential to use an accurate material model and provide it with accurate material information. In exhibit industries, orthotropic materials are being simulated utilizing isotropic material model, as orthotropic material model requires more material data which is not promptly accessible. This proposal intends to test and identify orthotropic materials and simulate them using orthotropic material model in ABAQUS. Materials utilized as a part of this proposal are Aluminium, LDPE, PET. Required material data was gotten by performing Uni-directional tensile tests, DIC, and an algorithm we developed in light of Inverses method. To get highly accurate material data from DIC, a few kinds of patterns were examined, and a superior pattern was resolved for camera configuration being utilized.

Evolution of concrete is continuously taking place to meet the ever-growing demands of the construction industry. Self compacting concrete (SCC) has emerged as a result of this demand to overcome the scarcity of labour. SCC is widely replacing normal vibrated concrete (NVC) these days owing to its advantages such as homogeneity of the mix, filling ability even in heavily congested reinforcement, smooth finish, reduction in construction time etc. The ingredients used for SCC is the same as that of the NVC. But the proportioning of ingredients to achieve self compactability alters the microstructure of SCC which in turn affects the mechanical and fracture properties. Moreover, the mineral admixtures such as fly ash and silica fume when used for improving the workability of SCC help in the development of the microstructural skeleton. In this study, three SCC mixes SCC1- made with only cement, SCC2 - with fly ash in addition to cement and SCC3 - with fly ash and silica fume in addition to cement for achieving normal, medium and high strength SCC respectively are cast. The microstructural changes in SCC with and without mineral admixtures over a period of time are studied using different techniques such as scanning electron microscopy (SEM), energy dispersive spectrometer (EDS) and X-ray diffraction (XRD). The modification of mechanical properties at microstructural level brings difference in the behavior at macro level. Hence in this study, the mechanical properties at microstructural are obtained by using microindentation test and are scaled up to the macro level to predict the influence of micromechanical properties on macro response. The fracture properties of SCC is considered to be the interest of this study and is carried out with the help of advanced techniques such as acoustic emission (AE) and digital image correlation (DIC). From the various studies carried out, it is inferred that the mixes with mineral admixtures behave in a more brittle manner when compared to mix having no mineral admixture. It is also observed that class ‘F’ fly ash hydrates at a slow pace and the strength gain is observed after 28 days and even beyond 90 days. Hence, it is concluded that it is appropriate to consider the strength at 90 days instead of 28 days for a SCC mix with class ‘F’ fly ash. Silica fume on the other hand is observed to result in a more rapid gain in strength and this can partially offset the delay in strength gain due to fly ash.

La compréhension du comportement musculaire est un champ d’investigation primordial dans divers domaines tels que le sport, le crash automobile et la médecine. Peu de techniques in vivo permettent aujourd’hui de caractériser les propriétés mécaniques du muscle. Aussi, l’objectif de ce travail est de développer une méthode d’identification in vivo à partir demesures de champs de déplacement. La méthode d’identification est composée de 3 étapes interdépendantes. La première consiste à réaliser une IRM de la cuisse pour segmenter manuellement différents tissus musculaires (quadriceps, ischios, gracilis et sartorius) et le tissu adipeux. Un comportement Néo-Hookéen est choisi pour modéliser le comportement hyperélastique (C10, D). Dans un second temps, un dispositif expérimental de compression est développé pour mesurer le champ de déplacement in vivo à partir des techniques d’imagerie échographique et de Corrélation d’Images Numériques. Finalement, une méthode inverse est mise en œuvre pour identifier les paramètres C10 et D de chaque tissu. Par le biais d’un exemple numérique, l’erreur sur les paramètres identifiés est évaluée. Les cartographies des champs de déplacement expérimentaux confirment les observations qualitatives obtenues sur les images échographiques et sont validées par les champs de déformation obtenus par approximation diffuse. Une faible erreur d’identification (C10<3%, D<7%) est obtenue à partir de l’exemple numérique, et les paramètres mécaniques identifiés sont en accord avec la littérature. Ces résultats valident la démarche inverse mise en œuvre qui permettra, à terme, de suivre l’évolution des pathologies et de mener des simulations prédictives. / The understanding of the mechanical behavior of the muscle tissue is an important field of investigation with different applications in medicine, car crash and sport. Currently, few in vivo imaging techniques are able to characterize the mechanical properties of muscle. Thus, this study aims at developing an in vivo identification method based on displacement fieldmeasurements. The identification approach is composed of 3 dependent steps. The first step consists in performing a 2D MRI acquisition of the thigh in order to segment manually the muscle (quadriceps, ischio, gracilis and sartorius) and fat tissues. A Neo-Hookean model is chosen to characterize the hyperelastic behavior (C10, D). Secondly, an experimental compressiondevice is developed to measure the in vivo displacement field using ultrasound and Digital Image Correlation (DIC) techniques. Finally, an inverse method is implemented to identify the C10 and D parameters of each soft tissue. A numerical example is used to quantify the identification error on each parameter. Displacement field measurements confirm the ultrasound observations. They are also validated by the cartographies of the strain fields, which are obtained by the diffuse approximation method. Using the numerical example, the identification leads to low errors on the C10 (< 3%) and D (< 7%) parameters. Identified values of the mechanical parameters are in good agreement with the literature. All results validate the implemented identification method. In the long term, this protocol will allow to follow the evolution of pathologies and to conduct predictive simulations.

Mechanical parameter characterization of very thin polymer films using digital im- age correlation is performed in this work. At present days DIC is widely used in the construction, food industries, and aviation. Despite advantages when compared to other conventional methods, but users still face difficulties with the analysis of thin polymers like low-density polyethylene (LDPE) and polyethylene terephthalate (PET) thin polymer films. For the application of sprays to obtain the best pattern quality as well as the potential of thin-film material properties tempering from the stochastic pattern paint. This research work will investigate the effect of several spray paints on the material response of thin polymer film. It also shows how to achieve good surface traction, time effect, and the type of spray to be used for DIC analysis. Finally, this research also studies how the width of the specimen affects the wrinkling effect, which is a common phenomenon while testing the thin polymer films and exhibits the appropriate width for reducing wrinkles on thin polymer films.