Submitted by JACQUELINE SANTOS CHAVES null (jac_sc@yahoo.com) on 2016-08-19T20:04:09Z No. of bitstreams: 1 Jacqueline S. Chaves.pdf: 1795331 bytes, checksum: 9c7a177018aa3a98f7cb4a90da94c904 (MD5) / Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-08-23T19:46:42Z (GMT) No. of bitstreams: 1 chaves_js_me_ilha.pdf: 1795331 bytes, checksum: 9c7a177018aa3a98f7cb4a90da94c904 (MD5) / Made available in DSpace on 2016-08-23T19:46:42Z (GMT). No. of bitstreams: 1 chaves_js_me_ilha.pdf: 1795331 bytes, checksum: 9c7a177018aa3a98f7cb4a90da94c904 (MD5) Previous issue date: 2016-07-29 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / As técnicas para o monitoramento de falhas em estruturas têm se tornado cada vez mais importantes principalmente por seus benefícios quanto à maior segurança de vida e por auxiliarem as empresas responsáveis em construir edifícios, pontes e estruturas em geral a diminuírem seus custos com a manutenção das mesmas. Deste modo, a fim de desenvolver uma forma eficiente para a identificação e caracterização de falhas estruturais, esta dissertação tem por objetivo demonstrar uma aplicação de Redes Neurais Artificiais (RNAs) como uma técnica de monitoramento da integridade estrutural (SHM) para tal problema. Através de um modelo matemático de equações diferenciais ordinárias para a representação de uma estrutura predial, será desenvolvida uma RNA ARTMAP Fuzzy por ser uma rede flexível e estável em relação à sua habilidade em se adaptar às mudanças imprevistas do ambiente externo, para identificar tais falhas. / The techniques for failures monitoring in mechanical engineering structures have become increasingly important especially for its benefits as the largest life-security and assist the responsible companies for build buildings, bridges and structures in general to lower their costs to maintenance of them. Thus, in order to develop an efficient way for the identification and characterization of structural failures, this work aims to demonstrate an application of Artificial Neural Networks (ANN) as a monitoring technique of structural health monitoring (SHM) for this problem. Through a dynamic model for the representation of a building structure, Fuzzy ARTMAP ANN will be developed to be a flexible and stable network with respect to its ability to adapt to unexpected changes in the external environment to identify such failures.

Orientador: Fábio Roberto Chavarette / Resumo: As técnicas para o monitoramento de falhas em estruturas têm se tornado cada vez mais importantes principalmente por seus benefícios quanto à maior segurança de vida e por auxiliarem as empresas responsáveis em construir edifícios, pontes e estruturas em geral a diminuírem seus custos com a manutenção das mesmas. Deste modo, a fim de desenvolver uma forma eficiente para a identificação e caracterização de falhas estruturais, esta dissertação tem por objetivo demonstrar uma aplicação de Redes Neurais Artificiais (RNAs) como uma técnica de monitoramento da integridade estrutural (SHM) para tal problema. Através de um modelo matemático de equações diferenciais ordinárias para a representação de uma estrutura predial, será desenvolvida uma RNA ARTMAP Fuzzy por ser uma rede flexível e estável em relação à sua habilidade em se adaptar às mudanças imprevistas do ambiente externo, para identificar tais falhas. / Abstract: The techniques for failures monitoring in mechanical engineering structures have become increasingly important especially for its benefits as the largest life-security and assist the responsible companies for build buildings, bridges and structures in general to lower their costs to maintenance of them. Thus, in order to develop an efficient way for the identification and characterization of structural failures, this work aims to demonstrate an application of Artificial Neural Networks (ANN) as a monitoring technique of structural health monitoring (SHM) for this problem. Through a dynamic model for the representation of a building structure, Fuzzy ARTMAP ANN will be developed to be a flexible and stable network with respect to its ability to adapt to unexpected changes in the external environment to identify such failures. / Mestre

Structural Health Monitoring (SHM) systems were developed to evaluate the integrity of a system during operation, and to quickly identify the maintenance problems. They will be used in future aerospace vehicles to improve safety, reduce cost and minimize the maintenance time of a system. Many SHM systems were already developed to evaluate the integrity of plates and used in marine structures. Their implementation in manufacturing processes is still expected. The application of SHM methods for complex geometries and welds are two important challenges in this area of research. This research work started by studying the characteristics of piezoelectric actuators, and a small energy harvester was designed. The output voltages at different frequencies of vibration were acquired to determine the nonlinear characteristics of the piezoelectric stripe actuators. The frequency response was evaluated experimentally. AA battery size energy harvesting devices were developed by using these actuators. When the round and square cross section devices were excited at 50 Hz frequency, they generated 16 V and 25 V respectively. The Surface Response to Excitation (SuRE) and Lamb wave methods were used to estimate the condition of parts with complex geometries. Cutting tools and welded plates were considered. Both approaches used piezoelectric elements that were attached to the surfaces of considered parts. The variation of the magnitude of the frequency response was evaluated when the SuRE method was used. The sum of the square of the differences was calculated. The envelope of the received signal was used for the analysis of wave propagation. Bi-orthogonal wavelet (Binlet) analysis was also used for the evaluation of the data obtained during Lamb wave technique. Both the Lamb wave and SuRE approaches along with the three methods for data analysis worked effectively to detect increasing tool wear. Similarly, they detected defects on the plate, on the weld, and on a separate plate without any sensor as long as it was welded to the test plate.

Yes / In view of high-performance, multifunctional and low-carbon development of infrastructures, there is a growing demand for smart engineering materials, making infrastructures intelligent. This paper reports a new-generation self-sensing cementitious composite (SSCC) incorporated with a hierarchically structured carbon fiber-carbon nanotube composite filler (CF-CNT), which is in-situ synthesized by directly growing CNT on CF. Various important factors including catalyst, temperature, and gas composition are considered to investigate their kinetic and thermodynamic influence on CF-CNT synthesis. The reciprocal architecture of CF-CNT not only alleviates the CNT aggregation, but also significantly improves the interfacial bonding between CF-CNTs and matrix. Due to the synergic and spatially morphological effects of CF-CNT, i.e., the formation of widely distributed multiscale reinforcement networks, SSCCs with CF-CNTs exhibit high mechanical properties and electrical conductivity as well as excellent self-sensing performances, particularly enhanced sensing repeatability. Moreover, the SSCCs with CF-CNTs are integrated into a full-scale maglev girder to devise a smart system for crack development monitoring. The system demonstrates high sensitivity and fidelity to capture the initiation of cracks/damage, as well as progressive and sudden damage events until complete failure of the maglev girder, indicating its considerable potential for structural health monitoring of infrastructures. / The work described in this paper is supported by grants from the National Science Foundation of China (51978127 and 51578110) and grants from the China Postdoctoral Science Foundation (2022M710973 and 2022M720648).

The fiber reinforced polymer (FRP) bars have been widely used in pre-stressing applications and reinforcing of the civil structures. High strength-to-weight ratio and high resistance to the corrosion make the FRP bars a good replacement for steel reinforcing bars in civil engineering applications. According to the CAN/CSA-S806-12 standard, the maximum recommended stress in FRP bars under service loads should not exceed 25% and 65% of the ultimate strength for glass FRP (GFRP) and carbon FRP (CFRP), respectively. These stress values are set to prevent creep failure in FRP bars. However, for in-service applications, there are few physical indicators that these values have been reached or exceeded. In this work analysis of acoustic emission (AE) signals is used. Two new techniques based on pattern recognition and frequency entropy of the isolated acoustic emission (AE) signal are presented for monitoring damage progression and prediction of failure in FRPs. / May 2017

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.

Dans le but d’une introduction en aéronautique civile, la certification des composites à matrice céramique(CMC) requiert la justification de la tenue du matériau durant toute la durée de vie de l’avion (50000h environ),dans des milieux oxydants à haute température et sous les contraintes élevées rencontrées en application. Lebut de cette thèse est d’identifier comment accélérer les essais de vieillissement pour obtenir sur de pluscourtes périodes de temps des essais représentatifs du comportement du matériau en conditions standard. Lecomposite étudié étant doté d’une matrice auto-cicatrisante dont l’efficacité est liée de manière complexe à latempérature et à l’humidité présente dans le milieu oxydant, une compréhension fine des mécanismes dedégradation est nécessaire afin de choisir des leviers d’accélération pertinents. L’influence de paramètresd’essai sélectionnés (pression partielle d’eau, type de chargement mécanique, fréquence de cyclagemécanique, température) sur les cinétiques d’endommagement est analysée, tout en vérifiant que lesmécanismes de dégradation ne sont pas modifiés. La mise en place de méthodes de suivi d'endommagementnon-destructives est indispensable pour quantifier en temps réel les niveaux de dégradation des matériauxsous différentes conditions expérimentales: le suivi par émission acoustique a été utilisé et une techniqueoriginale de suivi par mesure de résistance électrique durant des essais de longue durée a été développée.Deux modèles électro-mécaniques ont été proposés concernant l’évolution de résistance électrique àtempérature ambiante et sous conditions oxydantes. Des estimations de durées de vie basées sur cestechniques ont permis de proposer une méthodologie vers l’accélération d’essais sur CMC. / With the aim of an introduction in civil aeronautics, the certification of Ceramic Matrix Composites (CMC)requires to demonstrate the correct behavior of the material during the whole lifetime of the aircraft (about50000h), in high-temperature oxidizing environments and under the stress levels required by the applications.The goal of this thesis is to identify a methodology to accelerate ageing tests in order to get, in shorterdurations, results that are representative of the behavior of the material in standard conditions. The studiedcomposite includes a self-healing matrix which efficiency is linked in a complex way to temperature andhumidity. A thorough understanding of degradation mechanisms is therefore required in order to identifyrelevant accelerating levers. The influence of the selected test parameters (water partial pressure, type ofmechanical loading, frequency of cyclic loading, temperature) on the damage kinetics has been analyzed, whilechecking that the damage mechanisms were not modified. Non destructive monitoring techniques are essentialto quantify in real time the damage level of materials under different test conditions: acoustic emissionmonitoring has been used, and an original method of damage monitoring using electrical resistivity has beendeveloped. Two electromechanical models were proposed, describing the evolution of electrical resistance atroom temperature and under oxidizing conditions. Lifetime estimations based on these techniques led topropose a methodology towards accelerated testing on CMCs.

La fatigue de contact est un des modes de défaillance prédominants des composants tels que les engrenages ou les roulements. Les mécanismes d’initiation de fissures associés à ce mode de défaillance sont fortement liés à la microstructure du matériau. Cependant, la plupart des modèles utilisés pour prédire la durée de vie se situent à l’échelle macroscopique. Un modèle basé sur une représentation de type Voronoi des grains (échelle mésoscopique) est développé afin d’analyser les mécanismes d’initiation. Le concept d’endommagement est appliqué aux joints de grain modélisés par la méthode des zones cohésives. L’objectif de ce modèle est (i) de contribuer à une meilleure compréhension de l’influence de paramètres tels que ceux liés aux conditions de contact (rugosité, lubrification) ou aux matériaux (présence d’inclusions ou gradients de propriétés et contraintes résiduelles générés par les traitements de surface…) sur les mécanismes d’initiation et (ii) de fournir une estimation de la durée de vie jusqu’à cette initiation. Un premier modèle 2D isotrope a permis de mettre en place l’approche proposée et d’analyser le comportement numérique des éléments cohésifs : influence de la valeur des raideurs cohésives et apparition de singularités aux jonctions triples. Cette singularité semble inévitable, mais l’approche consistant à considérer le joint de grain comme une unique entité, et donc à utiliser des valeurs moyennes le long du joint de grain permet de s’affranchir de cette singularité. La représentativité du modèle a ensuite été améliorée par la modélisation de l’anisotropie cristalline. Un modèle de type élasticité cubique a été utilisé pour modéliser le comportement des grains. Enfin, une analyse approfondie de l’application du concept d’endommagement aux joints de grains a permis de proposer une nouvelle formulation entraînant une influence plus réaliste de cet endommagement sur le cisaillement intergranulaire et conduisant à une durée de vie estimée (apparition des premières micro-fissures) d’un ordre de grandeur comparable à celles données par l’expérience. / Contact fatigue is the predominant mode of failure of components subjected to a repeated contact pressure, like rolling element bearings or gears. This phenomenon is known as rolling contact fatigue (RCF). A large number of models have been developed to predict RCF, but there is today no complete predictive life model, and understanding RCF failure mechanism remains a significant challenge. RCF failure mechanisms are known to be very sensitive to a large number of parameters linked to contact conditions (roughness, lubrication) or materials (inclusions, gradients properties, residual stresses…). To improve knowledge about the influence of these parameters on failure mechanisms and life, a numerical model is developed to simulate the progressive damage of a component subject to rolling contact fatigue. Mechanisms associated with the initiation stage of failure process are located at a scale lower than the macroscopic scale. The proposed approach is to develop a grain level model (mesoscopic scale) in order to focus on initiation mechanisms. A Voronoi tessellation is used to represent the material microstructure. The progressive deterioration is simulated by applying the concept of damage mechanics at grain boundaries represented by cohesive elements. This approach has been first applied to a 2D isotropic model. The numerical behaviour of cohesive elements has been investigated: the influence of cohesive stiffness has been analysed and singularities at the triple junctions has been highlighted. The representativeness of the original model was improved by modelling crystal anisotropy. A cubic elasticity model was used to represent the behaviour of grains. Finally, a thorough analysis of the application of the damage concept at grain boundaries highlighted that the initial formulation results in a very low influence of the damage on the intergranular shear stress. A new formulation leading to a direct influence of the damage on the intergranular shear stress has been proposed. This new formulation has resulted in (i) a change in the distribution of micro-cracks, with coalescence between the different micro-cracks, and (ii) a large increase in the RCF life estimated by the model. The order of magnitude of the number of cycles corresponding to the first micro-cracks is comparable to that given by experiments.