This thesis aimed at the development of a fibre optic strain sensor-based damage detection and evaluation system (FODDAS) based on the composite beams. EFPI strain sensors were used with their integrity being assessed. Their performance, either bonded on the surfaces or embedded was examined extensively. They were shown to be adequate and reliable for strain measurements. Through-the-width damages were simulated by artificially-embedded delaminations, which were located at several through-the-thickness locations, each with two different sizes. The overall design considerations were guided by ply stresses and strains which were estimated by using the modified classical lamination theory (CLT). Considerable efforts were devoted to assessing the through-the-thickness mechanical behaviours of the beams containing optical fibres in three-point bending and short beam shear (SBS). They involved various optical fibre orientations with respect to 00 plies / longitudinal axis and at various through-the-thickness locations, each with different number of optical fibres. The understanding of these behaviours paved the way for the evaluation of the beam-based FODDAS. Smart preconditioned beams were subjected to the quasi -static loads whose magnitudes and locations were required to be well controlled. The viability and effectiveness of the beam-based FODDAS was evaluated in terms of strength and strain obtained by the embedded sensor as well as the surface-bonded strain gauges via the cross comparison of ten cases. For the strength, each beam was incrementally loaded up to the ultimate failure either in three-point bending or SBS. After each increment, the beam was unloaded and inspected for damage. For the given locations of EFPI-SS and artificial delamination as well as the sizes of the latter, it was found that the embedded EFPI-SSs were capable of picking up the stiffness degradation when the 10- mm as well as the 20-mm delamination was located at the 29-30 ply interface in the tensile region of a 32-ply quasi-isotropic carbon/epoxy smart composite beam. It was speculated from single tests results that the propagation of the embedded delamination of the sufficient size was able not only to be detected but also to be monitored by the sensors.

abstract: Current economic conditions necessitate the extension of service lives for a variety of aerospace systems. As a result, there is an increased need for structural health management (SHM) systems to increase safety, extend life, reduce maintenance costs, and minimize downtime, lowering life cycle costs for these aging systems. The implementation of such a system requires a collaborative research effort in a variety of areas such as novel sensing techniques, robust algorithms for damage interrogation, high fidelity probabilistic progressive damage models, and hybrid residual life estimation models. This dissertation focuses on the sensing and damage estimation aspects of this multidisciplinary topic for application in metallic and composite material systems. The primary means of interrogating a structure in this work is through the use of Lamb wave propagation which works well for the thin structures used in aerospace applications. Piezoelectric transducers (PZTs) were selected for this application since they can be used as both sensors and actuators of guided waves. Placement of these transducers is an important issue in wave based approaches as Lamb waves are sensitive to changes in material properties, geometry, and boundary conditions which may obscure the presence of damage if they are not taken into account during sensor placement. The placement scheme proposed in this dissertation arranges piezoelectric transducers in a pitch-catch mode so the entire structure can be covered using a minimum number of sensors. The stress distribution of the structure is also considered so PZTs are placed in regions where they do not fail before the host structure. In order to process the data from these transducers, advanced signal processing techniques are employed to detect the presence of damage in complex structures. To provide a better estimate of the damage for accurate life estimation, machine learning techniques are used to classify the type of damage in the structure. A data structure analysis approach is used to reduce the amount of data collected and increase computational efficiency. In the case of low velocity impact damage, fiber Bragg grating (FBG) sensors were used with a nonlinear regression tool to reconstruct the loading at the impact site. / Dissertation/Thesis / Ph.D. Aerospace Engineering 2011

abstract: Composite materials are increasingly being used in aircraft, automobiles, and other applications due to their high strength to weight and stiffness to weight ratios. However, the presence of damage, such as delamination or matrix cracks, can significantly compromise the performance of these materials and result in premature failure. Structural components are often manually inspected to detect the presence of damage. This technique, known as schedule based maintenance, however, is expensive, time-consuming, and often limited to easily accessible structural elements. Therefore, there is an increased demand for robust and efficient Structural Health Monitoring (SHM) techniques that can be used for Condition Based Monitoring, which is the method in which structural components are inspected based upon damage metrics as opposed to flight hours. SHM relies on in situ frameworks for detecting early signs of damage in exposed and unexposed structural elements, offering not only reduced number of schedule based inspections, but also providing better useful life estimates. SHM frameworks require the development of different sensing technologies, algorithms, and procedures to detect, localize, quantify, characterize, as well as assess overall damage in aerospace structures so that strong estimations in the remaining useful life can be determined. The use of piezoelectric transducers along with guided Lamb waves is a method that has received considerable attention due to the weight, cost, and function of the systems based on these elements. The research in this thesis investigates the ability of Lamb waves to detect damage in feature dense anisotropic composite panels. Most current research negates the effects of experimental variability by performing tests on structurally simple isotropic plates that are used as a baseline and damaged specimen. However, in actual applications, variability cannot be negated, and therefore there is a need to research the effects of complex sample geometries, environmental operating conditions, and the effects of variability in material properties. This research is based on experiments conducted on a single blade-stiffened anisotropic composite panel that localizes delamination damage caused by impact. The overall goal was to utilize a correlative approach that used only the damage feature produced by the delamination as the damage index. This approach was adopted because it offered a simplistic way to determine the existence and location of damage without having to conduct a more complex wave propagation analysis or having to take into account the geometric complexities of the test specimen. Results showed that even in a complex structure, if the damage feature can be extracted and measured, then an appropriate damage index can be associated to it and the location of the damage can be inferred using a dense sensor array. The second experiment presented in this research studies the effects of temperature on damage detection when using one test specimen for a benchmark data set and another for damage data collection. This expands the previous experiment into exploring not only the effects of variable temperature, but also the effects of high experimental variability. Results from this work show that the damage feature in the data is not only extractable at higher temperatures, but that the data from one panel at one temperature can be directly compared to another panel at another temperature for baseline comparison due to linearity of the collected data. / Dissertation/Thesis / M.S. Aerospace Engineering 2012

Detecção de dano em estruturas de engenharia de grandes dimensões através da análise de suas características dinâmicas envolve diversos campos de estudo. O primeiro deles trata da identificação dos parâmetros modais da estrutura, uma vez que executar testes de vibração livre em tais estruturas não é uma tarefa simples, necessita-se de um método robusto que seja capaz de identificar os parâmetros modais dessa estrutura a ações ambientais, campo esse chamado de análise modal operacional. Este trabalho trata do problema de detecção de dano em estruturas que possam ser representadas através de modelos em pórticos planos e vigas e que estejam submetidos à ação de vibrações ambientais. A localização do dano é determinada através de um algoritmo de otimização conhecido como Backtracking Search Algorithm (BSA) fazendo uso de uma função objetivo que utiliza as frequências naturais e modos de vibração identificados da estrutura. Simulações e testes são feitos a fim de verificar a concordância da metodologia para ambos os casos. Para as simulações, são utilizados casos mais gerais de carregamentos dinâmicos, e dois níveis de ruído (3% e 5%) são adicionados ao sinal de respostas para que esses ensaios se assemelhem aos ensaios experimentais, onde o ruído é inerente do processo. Já nos ensaios experimentais, apenas testes de vibração livre são executados. Diversos cenários de dano são propostos para as estruturas analisadas a fim de se verificar a robustez da rotina de detecção de dano. Os resultados mostram que a etapa de identificação modal estocástica através do método de identificação estocástica de subespaço (SSI) teve ótimos resultados, possibilitando, assim, a localização da região danificada da estrutura em todos os casos analisados. / Damage detection in large dimensions engineering structures through the analysis of their dynamic characteristics involves several fields. The first one deals with the structure modal identification parameter, since running free vibration tests in such structures is not a simple task, robust methods are needed in order to identify the modal parameters of this structure under ambient vibrations, this field is known as operational modal analysis. This work deals with the problem of damage detection in structures under ambient vibrations that can be represented by FEM using frame and beam elements. The damage location is determined through an optimization algorithm know as Backtracking Search Algorithm (BSA). It uses as objective function the identified natural frequencies and modes of vibration of the structure. Numerical and experimental tests are performed to assess the agreement of the methodology for both cases. For the numerical tests, more general cases of dynamic loads are used, and two noise levels (3% and 5%) are added to the response signal to assessing the robustness of the methodology close to the field conditions, in which noise is inherent of the process. In the experimental tests, only free vibration tests are performed. Several damage scenarios are proposed for the analyzed structures to check the robustness of the damage detection routine. The results show that the stochastic modal identification using the stochastic subspace identification (SSI) method had excellent results, thus allowing the location of the damaged region of the structure in all analyzed cases.

Detecção de dano em estruturas de engenharia de grandes dimensões através da análise de suas características dinâmicas envolve diversos campos de estudo. O primeiro deles trata da identificação dos parâmetros modais da estrutura, uma vez que executar testes de vibração livre em tais estruturas não é uma tarefa simples, necessita-se de um método robusto que seja capaz de identificar os parâmetros modais dessa estrutura a ações ambientais, campo esse chamado de análise modal operacional. Este trabalho trata do problema de detecção de dano em estruturas que possam ser representadas através de modelos em pórticos planos e vigas e que estejam submetidos à ação de vibrações ambientais. A localização do dano é determinada através de um algoritmo de otimização conhecido como Backtracking Search Algorithm (BSA) fazendo uso de uma função objetivo que utiliza as frequências naturais e modos de vibração identificados da estrutura. Simulações e testes são feitos a fim de verificar a concordância da metodologia para ambos os casos. Para as simulações, são utilizados casos mais gerais de carregamentos dinâmicos, e dois níveis de ruído (3% e 5%) são adicionados ao sinal de respostas para que esses ensaios se assemelhem aos ensaios experimentais, onde o ruído é inerente do processo. Já nos ensaios experimentais, apenas testes de vibração livre são executados. Diversos cenários de dano são propostos para as estruturas analisadas a fim de se verificar a robustez da rotina de detecção de dano. Os resultados mostram que a etapa de identificação modal estocástica através do método de identificação estocástica de subespaço (SSI) teve ótimos resultados, possibilitando, assim, a localização da região danificada da estrutura em todos os casos analisados. / Damage detection in large dimensions engineering structures through the analysis of their dynamic characteristics involves several fields. The first one deals with the structure modal identification parameter, since running free vibration tests in such structures is not a simple task, robust methods are needed in order to identify the modal parameters of this structure under ambient vibrations, this field is known as operational modal analysis. This work deals with the problem of damage detection in structures under ambient vibrations that can be represented by FEM using frame and beam elements. The damage location is determined through an optimization algorithm know as Backtracking Search Algorithm (BSA). It uses as objective function the identified natural frequencies and modes of vibration of the structure. Numerical and experimental tests are performed to assess the agreement of the methodology for both cases. For the numerical tests, more general cases of dynamic loads are used, and two noise levels (3% and 5%) are added to the response signal to assessing the robustness of the methodology close to the field conditions, in which noise is inherent of the process. In the experimental tests, only free vibration tests are performed. Several damage scenarios are proposed for the analyzed structures to check the robustness of the damage detection routine. The results show that the stochastic modal identification using the stochastic subspace identification (SSI) method had excellent results, thus allowing the location of the damaged region of the structure in all analyzed cases.

A avaliação do estado das estruturas é um tema de pesquisa muito importante para diversos campos da engenharia e, por isso, estão sendo desenvolvidas metodologias que permitem detectar dano em uma estrutura. O presente trabalho tem como objetivo verificar a aplicabilidade dos algoritmos genéticos (AG) na detecção de dano a partir das mudanças ocorridas, entre as condições com e sem dano, dos parâmetros dinâmicos da estrutura. Três tipos de AGs (binário, real e redundante implícita) são implementados com a finalidade de comparação do desempenho. Os parâmetros dinâmicos da estrutura, sadia e danificada, são determinados a partir do modelo de elementos finitos da estrutura. Medições incompletas e ruidosas foram consideradas visando simular as características da informação obtida por meio de um ensaio dinâmico real. Os AGs implementados são aplicados em estruturas de tipo viga, treliça e pórtico sob diferentes cenários de dano. Resultados mostram o bom desempenho dos AGs para detectar dano em uma estrutura. / The assessment of structural health is an important research topic in many engineering fields and, for that reason, damage detection methodologies are being developed. The goal of this dissertation is to verify the applicability of genetic algorithms (GAs) for detecting damage using dynamic parameters changes between undamaged and damaged condition of the structure. Three different GAs are implemented in order to compare the performance of the algorithms. Undamaged and damaged dynamic parameters are computed using the finite element model of the structure. Incomplete and noisy measurements are considered with the objective of simulating the real condition of the information in a real dynamic test. GAs are applied in some different structures: beam, truss and frame. The results indicate the good performance of the GAs for detecting damage in a structure.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-05-22T13:41:04Z No. of bitstreams: 1 rafaellepiazzarolifinottiamaral.pdf: 17493907 bytes, checksum: 1adeaaa1aa2fea27421c90402c88531e (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-05-22T17:36:26Z (GMT) No. of bitstreams: 1 rafaellepiazzarolifinottiamaral.pdf: 17493907 bytes, checksum: 1adeaaa1aa2fea27421c90402c88531e (MD5) / Made available in DSpace on 2017-05-22T17:36:26Z (GMT). No. of bitstreams: 1 rafaellepiazzarolifinottiamaral.pdf: 17493907 bytes, checksum: 1adeaaa1aa2fea27421c90402c88531e (MD5) Previous issue date: 2017-03-07 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / O desafio de se detectar danos e/ou alterações estruturais através de dados vibracionais tem levado ao desenvolvimento de diversas técnicas nas últimas décadas. Grande parte desses métodos busca associar variações de frequências naturais, modos de vibração e taxas de amortecimento em uma estrutura ao surgimento de danos localizados. Em vista disso, surgiram métodos como: o índice MAC (Modal Assurance Criterion), métodos baseados em energia de deformação, métodos baseados em variação de curvatura, análise da matriz de flexibilidade, dentre outros. Apesar de se mostrarem bastante eficazes na detecção de danos em modelos numéricos, salvo em raras exceções, os métodos supracitados apresentam dificuldades quando se trata de problemas práticos com dados obtidos de experimentos reais. Entretanto, abordagens envolvendo técnicas de inteligência computacional vêm sendo apontadas como uma linha de pesquisa promissora nesta área. Dessa forma, o presente trabalho avalia o uso das Redes Neurais Artificiais (ANN - Artificial Neural Networks) e Máquinas de Vetor Suporte (SVM - Support Vector Machines) na detecção de alterações estruturais baseadas na análise da evolução das respostas dinâmicas. Tanto as características modais quanto indicadores estatísticos extraídos diretamente dos sinais temporais são utilizados como parâmetros de entrada dos modelos de inteligência computacional. Além disso, apresenta-se ainda uma nova metodologia desenvolvida com base no histórico de variação das frequências naturais e temperatura, na qual é possível detectar mudanças no comportamento estrutural e apontar o momento em que elas ocorrem a partir de um classificador SVM. A eficiência da metodologia proposta é analisada através de dados obtidos em um modelo numérico de viga biapoiada e dados oriundos de um monitoramento contínuo da Torre de Gabbia, na Itália. / Structural damage detection using dynamic measurements has led to the development of several techniques in the last decades. Most of these methods associate variations of natural frequencies, mode shapes and damping ratios to damage, like the Modal Assurance Criterion (MAC), methods based on strain energy deviation, methods based on curvature mode shapes, flexibility matrix analysis, among others. Although these aforementioned techniques are mostly efficient to identify structural alterations in numerical models, they have difficulties in practical applications with experimental data. Thus, approaches involving computational intelligence to identify structural damage can be a promising field of research. This work evaluates the Artificial Neural Networks (ANN) and Support Vector Machine (SVM) to detect structural changes based on evolution of dynamic responses. The modal characteristics and statistical indicators extracted directly from raw dynamic measurements are used as inputs to computational intelligence models. Furthermore, a new methodology based on the time history of natural frequencies and temperature records is presented. The technique consists in detecting structural changes and when they occur by using a SVM algorithm. The efficiency of the proposed methodology is analyzed through data from a numerical model of a supported beam and from a continuous monitoring of the Gabbia Tower, in Italy.

No description available.

Cette thèse s'inscrit dans le cadre d'une collaboration avec EADS Innovation Works et AIRBUS. L'objectif des travaux est d'identifier les modes d'endommagements possibles d'éléments de structure métalliques d'aéronefs développés en service et d'en comprendre les mécanismes et les effets sur les propriétés des matériaux afin de contribuer au développement d'une méthode de contrôle non destructif innovante. Le matériau sélectionné est un alliage d'aluminium 2024-T351, l'un des matériaux constitutifs de la voilure et du fuselage d'avions civils. Les modes d'endommagement étudiés sont la corrosion et le vieillissement microstructural. La première partie de ces travaux est consacrée à l'analyse de l'influence des conditions d'exposition au milieu corrosif sur le développement de la corrosion intergranulaire et à l'identification des mécanismes de dégradation associés et de leurs cinétiques. Des conditions d'exposition originales alternant des phases d'immersion et d'émersion à différentes températures ont été explorées dans la mesure où elles semblent particulièrement représentatives des conditions d'exposition réelles. Les mécanismes proposés pour comprendre l'endommagement observé dans certaines de ces conditions d'exposition au milieu corrosif, impliquent un phénomène apparenté à de la fragilisation par l'hydrogène, phénomène qui n'est, à l'heure actuelle, pas encore reconnu pour les alliages d'aluminium de la série 2xxx. L'influence de l'hydrogène sur les propriétés physico-chimiques et mécaniques du matériau est donc étudiée dans la seconde partie de ces travaux. Enfin, l'influence d'un vieillissement microstructural sur les propriétés de l'alliage ainsi que les couplages possibles entre vieillissement microstructural et phénomènes de corrosion sont abordés dans une dernière partie. L'ensemble des résultats obtenus permet de révéler des pistes pour développer une méthode CND innovante permettant la caractérisation physique in-situ du niveau d'endommagement à l'échelle locale d'éléments de structures en alliages d'aluminium. / In the framework of a collaborative program research with EADS Innovation Works and AIRBUS, this work aims to identify the possible sources of in service damage of pieces of aircraft structure and the impact of these degradations on the mechanical properties of the materials. The results obtained allow describing the mechanisms involved and their kinetics, in order to contribute to the development of an innovative non destructive method. The material selected is the aluminum alloy 2024-T351, one of the constitutive materials for skin and wings of civil aircraft. For this study, the corrosion and the microstructural evolutions have been selected among the possible causes of degradation identified. The first part of this study is dedicated to the analysis of the influence of exposure conditions to the aggressive media on the development of intergranular corrosion and to the identification of the corrosion mechanisms involved and theirs kinetics. Original exposure conditions, alternating immersion steps in corrosive media and emersion steps in air at different temperatures, have been used insofar as these conditions have been estimated as representative of real exposure conditions. For some exposure conditions, the proposed mechanism to explain the damage observed implies a phenomenon related to hydrogen embrittlement which is, at the moment, not well recognized for aluminum alloys of the 2xxx series. The influence of hydrogen on the mechanical and physicochemical properties of the 2024 is so treated in the second part of this study. Finally, the impact of microstructural ageing as well as its possible coupling with corrosion is discussed in the last part. The whole results obtained allow the identification of leads to develop an innovative non destructive method allowing the physical characterization of local damage of aluminum alloys used to build civil aircrafts.

Orientador: Jose Maria Campos dos Santos / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica / Made available in DSpace on 2018-07-31T20:57:31Z (GMT). No. of bitstreams: 1 Ferraz_FabioGuilherme_M.pdf: 9315977 bytes, checksum: 2c619b06df862551ab474095f22421cc (MD5) Previous issue date: 2001 / Resumo: Este trabalho explora o uso de métodos de Síntese Modal dos Componentes (SMC), a Teoria da Perturbação por Mínimo Rank (MRPT) e o Algoritmo de Realização de vetores de Ritz (RRA) como uma ferramenta para a detecção de danos estruturais. A SMC consiste em modelar separadamente componentes individuais de uma estrutura e então acoplá-Ios num sistema único. Os métodos de SMC podem ser generalizados para se permitir o uso de outros vetores, tais como os vetores de Ritz em substituição aos modos normais. Os vetores de Ritz são obtidos a partir de relações de recorrência, e representam uma ótima base de vetores como alternativa aos modos naturais de vibrar dos componentes. O MRPT é um método de detecção de danos baseado em modelo, que usa o fato de que um dano discreto pode ser manifestado num modelo de elementos finitos (MEF) como uma pequena perturbação no rank das matrizes que compõe as propriedades da estrutura. O RRA converte as matrizes em tempo discreto identificadas pelo algoritmo ERA para o tempo contínuo, a partir das quais pode-se extrair os vetores de Ritz experimentais usados para se complementar a matriz de forças dinâmicas residuais na formulação do MRPT. Através do modelo sem danos sintetizado, e do modelo medido com danos, o MRPT com RRA é usado para se detectar a localização do dano e sua extensão, ou no mínimo o componente que contém o dano. Diferentes considerações de modelagem subestruturada são exploradas na detecção de danos usando exemplos numéricos. Em particular um MEF de vigas da estação espacial internacional é implementado e os efeitos de danos localizados em diferentes componentes são investigados / Abstract: This work explores the use of Component Mode Synthesis methods (CMS), Minimum Rank Perturbation Theory (MRPT), and Ritz Realization AIgorithm (RRA) as a structural damage detection tooI. The CMS consists in to modeling individual components of a structure separately and then to couple them to form an assembled system. CMS methods can be generalized to allow the use of other vectors, like Ritz vectors, rather than normal modes. The Ritz vectors are obtained from recurrence relations, and represent a suitable basis vectors as an alternative to component vibration modes. MRPT is a model-based damage detection method, which utilizes the fact that discrete damage is manifested in a structural finite element model (FEM) as a low rank perturbation to the structural property matrices. RRA converts the discrete time system matrices identified by Eigensystem Realization AIgorithm (ERA) to continuous time system matrices, from which one can extract the experimental Ritz vectors used to complement the matrix of dynamic residual forces in the MRPT formulation. With the coupled healthy model and the measured damaged model, the MRPT with RRA is used to detect the damage location and his extent, or at least the component that contains the damage. Different substructure modeling assumptions on damage detectability are explored using numerical examples. In particular a beam FEM of the international space station structure is implemented and the effects of different localized component damages are investigated. / Mestrado / Mecanica dos Sólidos e Projeto Mecanico / Mestre em Engenharia Mecânica