"Maintaining an efficient and reliable infrastructure requires continuous monitoring and control. In order to accomplish these tasks, algorithms are needed to process large sets of data and for modeling based on these processed data sets. For this reason, computationally efficient and accurate modeling algorithms along with data compression techniques and optimal yet practical control methods are in demand. These tools can help model structures and improve their performance. In this thesis, these two aspects are addressed separately. A principal component analysis based adaptive neuro-fuzzy inference system is proposed for fast and accurate modeling of time-dependent behavior of a structure integrated with a smart damper. Since a smart damper can only dissipate energy from structures, a challenge is to evaluate the dissipativity of optimal control methods for smart dampers to decide if the optimal controller can be realized using the smart damper. Therefore, a generalized deterministic definition for dissipativity is proposed and a commonly used controller, LQR is proved to be dissipative. Examples are provided to illustrate the effectiveness of the proposed modeling algorithm and evaluating the dissipativity of LQR control method. These examples illustrate the effectiveness of the proposed modeling algorithm and dissipativity of LQR controller."

Submitted by ANA PAULA ALVES GUIMARÃES null (annapaulasun@gmail.com) on 2017-02-04T20:28:04Z No. of bitstreams: 1 dissertação-final.pdf: 4630588 bytes, checksum: 8c2806b890a1b7889d8d26b4a11e97bf (MD5) / Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-02-07T13:18:18Z (GMT) No. of bitstreams: 1 guimaraes_apa_me_ilha.pdf: 4630588 bytes, checksum: 8c2806b890a1b7889d8d26b4a11e97bf (MD5) / Made available in DSpace on 2017-02-07T13:18:18Z (GMT). No. of bitstreams: 1 guimaraes_apa_me_ilha.pdf: 4630588 bytes, checksum: 8c2806b890a1b7889d8d26b4a11e97bf (MD5) Previous issue date: 2016-12-20 / O monitoramento da condição estrutural é uma área que vem sendo bastante estudada por permitir a construção de sistemas que possuem a capacidade de identificar um determinado dano em seu estágio inicial, podendo assim evitar sérios prejuízos futuros. O ideal seria que estes sistemas tivessem o mínimo de interferência humana. Sistemas que abordam o conceito de aprendizagem têm a capacidade de serem autômatos. Acredita-se que por possuírem estas propriedades, os algoritmos de aprendizagem de máquina sejam uma excelente opção para realizar as etapas de identificação, localização e avaliação de um dano, com capacidade de obter resultados extremamente precisos e com taxas mínimas de erros. Este trabalho tem como foco principal utilizar o algoritmo support vector machine no auxílio do monitoramento da condição de estruturas e, com isto, obter melhor exatidão na identificação da presença ou ausência do dano, diminuindo as taxas de erros através das abordagens da aprendizagem de máquina, possibilitando, assim, um monitoramento inteligente e eficiente. Foi utilizada a biblioteca LibSVM para análise e validação da proposta. Desta forma, foi possível realizar o treinamento e classificação dos dados promovendo a identificação dos danos e posteriormente, empregando as predições efetuadas pelo algoritmo, foi possível determinar a localização dos danos na estrutura. Os resultados de identificação e localização dos danos foram bastante satisfatórios. / Structural health monitoring (SHM) is an area that has been extensively studied for allowing the construction of systems that have the ability to identify damages at an early stage, thus being able to avoid serious future losses. Ideally, these systems have the minimum of human interference. Systems that address the concept of learning have the ability to be autonomous. It is believed that by having these properties, the machine learning algorithms are an excellent choice to perform the steps of identifying, locating and assessing damage with ability to obtain highly accurate results with minimum error rates. This work is mainly focused on using support vector machine algorithm for monitoring structural condition and, thus, get better accuracy in identifying the presence or absence of damage, reducing error rates through the approaches of machine learning. It allows an intelligent and efficient monitoring system. LIBSVM library was used for analysing and validation of the proposed approach. Thus, it was feasible to conduct training and classification of data promoting the identification of damages. It was also possible to locate the damages in the structure. The results of identification and location of the damage was quite satisfactory.

The application of static shape control was investigated in this thesis particularly for a composite plate configuration using piezoelectric actuators. A new electro-mechanically coupled mathematical model was developed for the analysis and is based on a third order displacement field coupled with a layerwise electric potential concept. This formulation, TODL, is then implemented into a finite element program. The mathematical model represents an improvement over existing formulations used to model intelligent structures using piezoelectric materials as actuators and sensors. The reason is TODL does not only account for the electro-mechanical coupling within the adaptive material, it also accounts for the full structural coupling in the entire structure due to the piezoelectric material being attached to the host structure. The other significant improvement of TODL is that it is applicable to structures which are relatively thick whereas existing models are based on thin beam / plate theories. Consequently, transverse shearing effects are automatically accounted for in TODL and unlike first order shear deformation theories, shear correction factors are not required. The second major section of this thesis uses the TODL formulation in static shape control. Shape control is defined here as the determination of shape control parameters, including actuation voltage and actuator orientation configuration, such that the structure that is activated using these parameters will conform as close as possible to the desired shape. Several shape control strategies and consequently algorithms were developed here. Initial investigations in shape control has revealed many interesting issues which have been used in later investigations to improve shape controllability and also led to the development of improved algorithms. For instance, the use of discrete actuator patches has led to greater shape controllability and the use of slopes and curvatures as additional control criteria have resulted in significant reduction in internal stresses. The significance of optimizing actuator orientation and its relation to piezoelectric anisotropy in improving shape controllability has also been presented. Thus the major facets of shape control has been brought together and the algorithms developed here represent a comprehensive strategy to perform static shape control.

This dissertation addresses new developments in the constitutive modeling and structural analysis pertaining to rate-independent and rate-dependent irrecoverable inelasticity in Shape Memory Alloys (SMAs). A new model for fully recoverable SMA response is derived that accounts for material behaviors not previously addressed. Rate-independent and rate-dependent irrecoverable deformations (plasticity and viscoplasticity) are then considered. The three phenomenological models are based on continuum thermodynamics where the free energy potentials, evolution equations, and hardening functions are properly chosen. The simultaneous transformation-plastic model considers rate-independent irrecoverable strain generation and uses isotropic and kinematic plastic hardening to capture the interactions between irrecoverable plastic strain and recoverable transformation strain. The combination of theory and implementation is unique in its ability to capture the simultaneous evolution of recoverable transformation strains and irrecoverable plastic strains. The simultaneous transformation-viscoplastic model considers rate-dependent irrecoverable strain generation where the theoretical framework is modfii ed such that the evolution of the viscoplastic strain components are given explicitly. The numerical integration of the constitutive equations is formulated such that objectivity is maintained for SMA structures undergoing moderate strains and large displacements. Experimentally validated analysis results are provided for the fully recoverable model, the simultaneous transformation-plastic yield model, and the transformation-viscoplastic creep model.

The application of static shape control was investigated in this thesis particularly for a composite plate configuration using piezoelectric actuators. A new electro-mechanically coupled mathematical model was developed for the analysis and is based on a third order displacement field coupled with a layerwise electric potential concept. This formulation, TODL, is then implemented into a finite element program. The mathematical model represents an improvement over existing formulations used to model intelligent structures using piezoelectric materials as actuators and sensors. The reason is TODL does not only account for the electro-mechanical coupling within the adaptive material, it also accounts for the full structural coupling in the entire structure due to the piezoelectric material being attached to the host structure. The other significant improvement of TODL is that it is applicable to structures which are relatively thick whereas existing models are based on thin beam / plate theories. Consequently, transverse shearing effects are automatically accounted for in TODL and unlike first order shear deformation theories, shear correction factors are not required. The second major section of this thesis uses the TODL formulation in static shape control. Shape control is defined here as the determination of shape control parameters, including actuation voltage and actuator orientation configuration, such that the structure that is activated using these parameters will conform as close as possible to the desired shape. Several shape control strategies and consequently algorithms were developed here. Initial investigations in shape control has revealed many interesting issues which have been used in later investigations to improve shape controllability and also led to the development of improved algorithms. For instance, the use of discrete actuator patches has led to greater shape controllability and the use of slopes and curvatures as additional control criteria have resulted in significant reduction in internal stresses. The significance of optimizing actuator orientation and its relation to piezoelectric anisotropy in improving shape controllability has also been presented. Thus the major facets of shape control has been brought together and the algorithms developed here represent a comprehensive strategy to perform static shape control.

Thesis (M.S.) -- Mississippi State University. College of Architecture, Art and Design. / Title from title screen. Includes bibliographical references.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / In this study the possible use of smart structures for noise control in a higher order acoustic duct was considered. The best option for this control was the use of axial splitters in the duct in order to prevent higher order mode propagation. It is possible to perform the active noise control in each splitter section by using a single channel control system. The use of smart structures takes advantage of the splitter plate and uses it as the control source, which substitutes the traditional loudspeakers used in active noise control systems. In order to evaluate the possibility of the noise control using smart structures, an analytical model of a thin plate with piezoelectric actuators was built then the acoustic field generated by this vibrating structure inside of the duct was obtained. However, to obtain the acoustic field inside an splitted duct, a numerical method such as the Component Mode Synthesis has to be used. Using the equation of the acoustic field generated in the duct by the plate, it was possible to obtain the acoustic field inside the splitted duct. After that, the active noise control simulations for harmonic excitations were performed and the influence of the size of the plate excited by the PZT actuators was studied. Finally the active control for random noise was simulated, in which the number of actuators in the plate was changed. In conclusion, it is possible to say that the smart structures can be used in active noise control of ducts with splitters and the advantages and disadvantages of the conveyed technique were presented. / Neste trabalho, foi estudada a proposta da utilização de estruturas inteligentes para o controle de ruído em um duto acústico com propagação de modos de alta ordem. A técnica mais adequada para este controle foi o particionamento do duto a fim de planificar as ondas que se propagam. Nesta região particionada, é possível realizar o controle ativo de ruído utilizando apenas um sensor e um atuador para cada lado da partição. A aplicação das estruturas inteligentes é proposta no sentido de aproveitar a placa particionadora para que, com a sua vibração, atuará como a fonte secundária necessária para o controle. Para a avaliação da possibilidade de controle utilizando esta técnica, primeiramente foi modelado o comportamento de uma placa instrumentada com atuadores piezoelétricos e, em seguida, obtida a modelagem analítica do campo sonoro gerado por uma estrutura vibrante no interior de um duto. Porém, a obtenção do campo acústico em um duto particionado não é facilmente obtido, sendo, então, realizada através da técnica de Síntese Modal de Componentes. Utilizando as equações do duto excitado por uma estrutura vibrante na técnica de síntese modal, foi possível obter campo acústico gerado no interior de um duto particionado. A partir disto, foram realizados simulações de controle ativo de ruído variando o trecho da placa a ser excitado para tons puros e para ruídos de banda estreita. Nesta última situação também foi avaliada a influência da quantidade de atuadores instalados. Concluiu-se deste trabalho que é possível a utilização de estruturas inteligentes no controle ativo de ruído em dutos particionados, sendo apresentadas suas vantagens e desvantagens. / Mestre em Engenharia Mecânica

Submitted by Maria Medeiros (maria.dilva1@ufcg.edu.br) on 2018-10-09T14:06:57Z No. of bitstreams: 1 ARMANDO WILMANS NUNES DA FONSECA JÚNIOR - DISSERTAÇÃO (PPGEM) 2018.pdf: 5713433 bytes, checksum: aba957d62b27260ecd8141ce8547fa05 (MD5) / Made available in DSpace on 2018-10-09T14:06:57Z (GMT). No. of bitstreams: 1 ARMANDO WILMANS NUNES DA FONSECA JÚNIOR - DISSERTAÇÃO (PPGEM) 2018.pdf: 5713433 bytes, checksum: aba957d62b27260ecd8141ce8547fa05 (MD5) Previous issue date: 2018-08-31 / Capes / No decorrer dos anos, com a construção de pontes cada vez mais longas e leves, o comportamento dinâmico passa a ser um fator limitante no projeto dessas estruturas. Portanto, é de grande interesse que sistemas de controle de vibrações estruturais sejam desenvolvidos. Entre os vários materiais utilizados atualmente para supressão de vibrações, estão as ligas com memória de forma (LMF). Estas vêm ganhando popularidade graças a sua capacidade de sofrer grandes deformações reversíveis, aliadas às suas propriedades de dissipação de energia. Neste contexto, este trabalho tem como objetivo realizar o controle passivo de vibrações num protótipo de ponte estaiada, em escala reduzida, utilizando molas superelásticas de uma LMF Ni-Ti (Nitinol). Foram realizadas análises dinâmicas na estrutura utilizando ferramentas analíticas, numéricas e experimentais. Nos resultados experimentais, obteve-se uma redução de até 75% de transmissibilidade de força em vibração livre, em comparação com a estrutura com molas equivalentes, de aço. Em vibração forçada, o valor de redução de transmissibilidade de força chegou a um máximo de 85,5%. Os resultados numéricos mostraram boa coerência na determinação dos parâmetros modais da estrutura e na resposta em vibração livre, com maior erro associado aos resultados em vibração forçada, mais especificamente no segundo modo de vibrar do sistema. Concluiu-se que as molas de LMF têm capacidade de dissipação de energia vibracional para a aplicação em estruturas de pontes e os modelos numéricos permitem uma boa previsão da resposta da estrutura. / Over the years, with the construction of increasingly longer and lighter bridges, dynamic behavior becomes a limiting factor in the design of these structures. Therefore, it is important that structural vibration control systems are developed. Among the various materials currently used for vibration suppression are the shape memory alloys (SMA). These have been gaining popularity as a result of their ability to undergo large reversible deformations, coupled with their energy dissipating properties. In this context, the objective of this dissertation is to perform the passive vibration control of a cable-stayed bridge prototype, in small scale, using SMA Ni-Ti (Nitinol) superelastic springs. Dynamic analyses were performed using analytical, numerical and experimental tools. In the experimental results, a reduction of 75% of force transmissibility in free vibration was obtained, compared to the structure with equivalent steel springs. In forced vibration, the value of reduction of force transmissibility reached a maximum of 85.5%. The numerical results showed good coherence in the determination of the modal parameters of the structure and the response of the latter in free vibration, with the largest error associated to the second mode of vibration of the structure, in forced vibration. It was concluded that the SMA springs have the capacity to dissipate vibrational energy, for the application in bridges structures, and the numerical models allow a good prediction of the structure response.

O principal objetivo do controle de vibrações é a sua redução ou minimização, através da modificação automática da resposta estrutural. Em muitas situações isto é necessário para promover a estabilidade estrutural, e para alcançar o alto desempenho mecânico necessário em diversas áreas técnicas, tais como a engenharia aeroespacial, civil e mecânica, bem como a biotecnologia, inclusive em escala micro e nano mecânica. Uma alternativa é o uso de estruturas inteligentes, que são o resultado da combinação de sensores e atuadores integrados em uma estrutura mecânica, e um método de controle adequado. O principal objetivo deste trabalho é o desenvolvimento de rotinas computacionais para a simulação, via método dos elementos finitos, do controle ativo de estruturas inteligentes de cascas, placas e vigas delgadas de material compósito laminado com camadas de material piezoelétrico como sensores e/ou atuadores. Caracterizam esta pesquisa a utilização do elemento GPL-T9 de três nós e seis graus de liberdade mecânicos por nó, mais um grau de liberdade elétrico por camada piezoelétrica, assim como a avaliação de dois métodos de controle, o Proporcional-Integral-Derivativo (PID) e o Regulador Quadrático Linear ou Linear Quadratic Regulator (LQR), incluindo o LQR Modal, e a otimização da localização de pastilhas piezoelétricas através de um Algoritmo Genético (AG). Várias aplicações são apresentadas e os resultados obtidos são comparados aos disponíveis na literatura especializada. / The main objective of vibration control is its reduction or even its minimization by the automatic modification of the structural response. Sometimes this is necessary to increase structural stability and to attain a high mechanical behavior in several areas such as aerospace, civil and mechanical engineering, biotechnology, including macro, micro and nanomechanical scales. An alternative is to use a smart structure, which results of the combinations of integrated sensors and actuators in a mechanical structure and a suitable control method. Development of a computational code to simulate, using finite elements, the active control in smart structures such as slender shells, plates and beams of composite materials with embedded piezoelectric layers acting as actuators and sensors is the main objective of this work. This research is characterized by the use of the GPL-T9 element with three nodes and six mechanical degrees of freedom and one electrical degree of freedom per piezoelectric layer, by the evaluation of two control methods, the Proportional Integral Derivative (PID) and the Linear Quadratic Regulator (LQR), including the Modal LQR, and, finally by the optimization of piezoelectric patches placement using a Genetic Algorithm (GA). Several examples are presented and compared with those obtained by other authors.

Orientador: Vicente Lopes Junior / Resumo: Structural health monitoring (SHM) is an area that has been extensively studied for allowing the construction of systems that have the ability to identify damages at an early stage, thus being able to avoid serious future losses. Ideally, these systems have the minimum of human interference. Systems that address the concept of learning have the ability to be autonomous. It is believed that by having these properties, the machine learning algorithms are an excellent choice to perform the steps of identifying, locating and assessing damage with ability to obtain highly accurate results with minimum error rates. This work is mainly focused on using support vector machine algorithm for monitoring structural condition and, thus, get better accuracy in identifying the presence or absence of damage, reducing error rates through the approaches of machine learning. It allows an intelligent and efficient monitoring system. LIBSVM library was used for analysing and validation of the proposed approach. Thus, it was feasible to conduct training and classification of data promoting the identification of damages. It was also possible to locate the damages in the structure. The results of identification and location of the damage was quite satisfactory. / Mestre