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Análise paramétrica e otimização estrutural de implante dentário fundamentados no estudo do comportamento mecânico da região de interface osso-implante / Parametric Analysis and structural optimization of dental implant based on study of mechanical behavior of the bone-implant interface areaFreitas, João Paulo de Oliveira [UNESP] 22 July 2016 (has links)
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Previous issue date: 2016-07-22 / Nas últimas décadas implantes dentários vêm sendo bem aceitos por odontologistas e pacientes devido à sua grande capacidade de reabilitação de funções e estética. Sendo assim, é constante a busca por soluções que forneçam boa estabilidade para o implante que está diretamente relacionada às características do sistema e do osso. A principal região de estudo é a interface osso-implante, em destaque para o osso cortical, onde a alta compressão acarreta o desgaste ósseo e instabilidade do implante. O trabalho em questão propõe a realização da análise paramétrica e a otimização da estrutura de um implante unitário em estado plano de deformação. Sendo assim, funções denominadas superfícies de resposta foram desenvolvidas. Nelas são fornecidos dados de geometria, carga e rigidez do osso cortical e como resposta são obtidas tensões de Von Mises no osso cortical. Simultaneamente, são identificados os parâmetros mais e menos influentes na resposta. Para isso, foram aplicados os conceitos de RSM (Response Surface Methodology) e DOE (Design of Experiments) juntamente com modelos em elementos finitos no plano bidimensional. Com a superfície de resposta definida, soluções de otimização estrutural foram desenvolvidas, para as quais objetivou-se a minimização da tensão no osso cortical e ao mesmo tempo a redução da área de osso removida, selecionando assim os melhores implantes para cada ponderação de objetivo. Assim, apresenta-se não só a interpretação da influência de cada parâmetro na resposta mecânica no osso, mas também um processo mais ágil na estimativa de tensões críticas através de funções e, com soluções multiobjetivas, dá suporte à escolha correta do implante, à investigação mais rápida de falhas e à proposta de soluções de forma mais apurada. / Over recent decades dental implants have been well accepted by dentists and patients due to its great capacity for rehabilitation of function and aesthetics. Thus, it is a constant search for solutions that provide good stability to the implant that is directly related to system characteristics and bone. The main study area is the bone-implant interface, especially the cortical bone, where high compression causes bone wear and instability of the implant. The work in question proposes the realization of parametric analysis and optimization of the structure of a single implant in plane strain state. So, functions denominated as response surface have been developed. For them are provided data like geometry, load and cortical bone stiffness and as response are obtained Von Mises stress in cortical bone. At the same time more and less influential parameters are identified in the response. For this were applied the concepts of RSM (Response Surface Methodology) and DOE (Design of Experiments) with finite element models in two-dimensional plane. With the response surface defined, structural optimization solutions have been developed to which the goal was to minimize the stress in the cortical bone while reducing the area of bone removed, thus selecting the best implants for each weighing goal. Therefore, it presents not only the interpretation of the influence of each parameter on the mechanical response in the bone, but also a faster process in the estimation of critical stress functions and with multiobjective solutions, supports the correct choice of implant, faster research of failures and the proposal for more accurate form of solutions.
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Applying Machine Learning to LTE/5G Performance Trend AnalysisEamrurksiri, Araya January 2017 (has links)
The core idea of this thesis is to reduce the workload of manual inspection when the performance analysis of an updated software is required. The Central Process- ing Unit (CPU) utilization, which is one of the essential factors for evaluating the performance, is analyzed. The purpose of this work is to apply machine learning techniques that are suitable for detecting the state of the CPU utilization and any changes in the test environment that affects the CPU utilization. The detection re- lies on a Markov switching model to identify structural changes, which are assumed to follow an unobserved Markov chain, in the time series data. A historical behav- ior of the data can be described by a first-order autoregression. Then, the Markov switching model becomes a Markov switching autoregressive model. Another ap- proach based on a non-parametric analysis, a distribution-free method that requires fewer assumptions, called an E-divisive method, is proposed. This method uses a hi- erarchical clustering algorithm to detect multiple change point locations in the time series data. As the data used in this analysis does not contain any ground truth, the evaluation of the methods is analyzed by generating simulated datasets with known states. Besides, these simulated datasets are used for studying and compar- ing between the Markov switching autoregressive model and the E-divisive method. Results show that the former method is preferable because of its better performance in detecting changes. Some information about the state of the CPU utilization are also obtained from performing the Markov switching model. The E-divisive method is proved to have less power in detecting changes and has a higher rate of missed detections. The results from applying the Markov switching autoregressive model to the real data are presented with interpretations and discussions.
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Estudo da producao de sup(57)Co e sup(109)Cd em ciclotronLANDINI, LILIANE 09 October 2014 (has links)
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Estudo cinetico da cloracao do silicioSEO, EMILIA S.M. 09 October 2014 (has links)
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Instabilidade dinâmica de arcos tri-articulados / Dynamic instability of tri-articulated archesBraga, Igor Cézar Silva 09 June 2017 (has links)
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Previous issue date: 2017-06-09 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Arches are structural elements of curvilinear form transmitting normal efforts of simple compression and with wide applicability in civil engineering, being used in bridges, domes, soccer stadiums and so on. Therefore, studies that involve physical and geometric parameters to analyze the behavior of arches are necessary. This work aims to study the static and dynamic instability of tri-articulated discrete arcs, with axial and rotational rigidities the supports and under the action of a time dependent load. The arche is evaluated is a discrete and continuous system. The discrete system consists of three degrees of freedom that describe the vertical displacement and two horizontal displacements; the continuous system composed of two degrees of freedom, with an axial displacement and another in the direction radial. For the discrete system a parametric analysis was performed by varying the axial stiffness and rotational rigidities in the supports, besides the height of the arch, considering first the post-critical path study, with the influence of the parametric variation in the obtained results and the effect of the symmetry breaking in the instability by point limit or snap through, with the appearance of dynamic jumps. The natural frequency analysis is a function of the height/span ratio and the rigidities in the boundary conditions of the structures. The dynamic analysis was initiated through the instability boundaries, where it is observed how the displacements were established according to the parameters adopted, the obtained answers were proved by time responses, bifurcation diagrams and attraction basins, noting the influence of these factors in the dynamic behavior of the discrete arch. The analysis of the continuous system was established in the variation of the modified slenderness of the flexibility in the supports, observing the interference of the parameters in the post-critical path in general and in the load of the axial compression. With the asymmetry in the flexibility of the supports, the loops coming from the dynamic jumps arise. / Arcos são elementos estruturais de forma curvilínea com função de transmitir esforços normais de compressão simples e com ampla aplicabilidade na engenharia civil, pois têm o artificio estrutural de vencer grandes vãos, sendo usados em pontes, cúpulas, estádios de futebol e etc. Portanto, estudos que envolvam parâmetros físicos e geométricos para análise do comportamento de arcos se fazem necessários. Este trabalho tem como objetivo o estudo da instabilidade estática e dinâmica de arcos discretos tri-articulados, com rigidezes axiais e rigidezes rotacionais nos apoios e sob a ação de uma carga dependente do tempo. O arco é avaliado nos sistemas discreto e contínuo, sendo que o sistema discreto é composto por três graus de liberdade que descrevem um deslocamento vertical e dois deslocamentos horizontais e o sistema contínuo composto por dois graus de liberdade, sendo um deslocamento axial e outro na direção radial. Para o sistema discreto foi feita uma análise paramétrica variando a rigidez axial e as rigidezes rotacionais nos apoios, além da altura do arco, considerando primeiramente o estudo do caminho pós-críticos, com a influência da variação paramétrica nos resultados obtidos e do efeito da quebra de simetria na instabilidade por ponto limite ou snap through, com o aparecimento de saltos dinâmicos. A análise da frequência natural é em função da razão altura/vão e das rigidezes nas condições de contorno das estruturas. A análise dinâmica foi iniciada através das fronteiras de instabilidade, onde se observa como os deslocamentos se estabeleciam de acordo com os parâmetros adotados, as respostas obtidas foram comprovadas por respostas no tempo, diagramas de bifurcação e bacias de atração, constatando a influencia desses fatores no comportamento dinâmico do arco discreto. A análise do sistema contínuo se estabeleceu na variação das esbeltezes modificadas. da flexibilidade nos apoiosobservando a interferência dos parâmetros no caminho pós-crítico de forma geral e na carga de compressão axial. Com a assimetria na flexibilidade dos apoios ocasiona-se o surgimento dos loops vindos dos saltos dinâmicos.
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Análise paramétrica da infiltração e sua influência na estabilidade de taludes em solo não saturado / Parametric analysis of infiltration and its influence on unsaturated soil slope stabilityCláudio Rodrigues dos Santos 24 March 2004 (has links)
Apresenta-se um estudo paramétrico acerca da infiltração de água e sua repercussão no Fator de Segurança de talude em solos não saturados. Na análise adota-se um talude de referência com geometria fixada conforme a inclinação típica para taludes em areia argilo siltosa, característica do Centro-Oeste do estado de São Paulo. A análise paramétrica foi desenvolvida a partir de uma simulação de fluxo em regime transiente utilizando o programa SEEP/W, que utiliza o método de elementos finitos, e posteriormente uma análise de estabilidade do talude de referência utilizando o método de Bishop simplificado conforme apresentado no programa SLOPE/W. Foram analisados taludes homogêneos compostos por três diferentes tipos de solo, uma areia, um silte argiloso e uma areia argilo siltosa. Os parâmetros analisados compreendem a curva de retenção de água, a função condutividade hidráulica do solo e a intensidade de precipitação. Verificou-se que a função condutividade hidráulica e a pressão de entrada de ar são os principais determinantes do comportamento da infiltração e conseqüentemente da estabilidade do talude. As simulações de fluxo evidenciaram que os taludes em solos mais arenosos apresentam taxas de infiltração maiores que as apresentadas pelos taludes compostos por solos siltosos. Consequentemente, os escorregamentos ocasionados pela perda da contribuição da sucção para a resistência ao cisalhamento ocorrem primeiramente nos taludes compostos por solos arenosos e posteriormente naqueles compostos por solos siltosos, fato este que pôde ser confirmado pelas análises de estabilidade do talude de referência. / A parametric study is presented about water infiltration and its repercussion in the safety factor of unsaturated soil slopes. In the analysis it is adopted a reference slope with determined geometry according to the typical inclination for slopes in silty clayey sand, characteristic of the mid-western region of São Paulo State, in Brazil. The parametric analysis was developed from a flux simulation in transient regime using the SEEP/W software, which uses the finite elements method, and thereafter, a stability analysis of the reference slope using simplified Bishop method, as presented in the SLOPE/W software. Homogeneous slopes composed by three different types of soil (sand, clayey silt and silty clayey sand) were considered. The analyzed parameters include the water retention curve, the hydraulic conductivity function and the precipitation intensity. It was verified that the hydraulic conductivity function and the air entry value are the main determinants of the infiltration behavior and, subsequently, of the slope stability. The flux simulations have evidenced that coarser soils slopes show higher infiltration rates than the ones presented in finer soil slopes. Consequently, the slides caused by the loss of the suction\'s contribution to shear strength occur primarily in coarser soil slopes than in fine soil slopes, what could be verified in the stability analysis of the reference slope.
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Modeling and Survival Analysis of Breast Cancer: A Statistical, Artificial Neural Network, and Decision Tree ApproachMudunuru, Venkateswara Rao 26 March 2016 (has links)
Survival analysis today is widely implemented in the fields of medical and biological sciences, social sciences, econometrics, and engineering. The basic principle behind the survival analysis implies to a statistical approach designed to take into account the amount of time utilized for a study period, or the study of time between entry into observation and a subsequent event. The event of interest pertains to death and the analysis consists of following the subject until death. Events or outcomes are defined by a transition from one discrete state to another at an instantaneous moment in time. In the recent years, research in the area of survival analysis has increased greatly because of its large usage in areas related to bio sciences and the pharmaceutical studies. After identifying the probability density function that best characterizes the tumors and survival times of breast cancer women, one purpose of this research is to compare the efficiency between competing estimators of the survival function. Our study includes evaluation of parametric, semi-parametric and nonparametric analysis of probability survival models.
Artificial Neural Networks (ANNs), recently applied to a number of clinical, business, forecasting, time series prediction, and other applications, are computational systems consisting of artificial neurons called nodes arranged in different layers with interconnecting links. The main interest in neural networks comes from their ability to approximate complex nonlinear functions. Among the available wide range of neural networks, most research is concentrated around feed forward neural networks called Multi-layer perceptrons (MLPs). One of the important components of an artificial neural network (ANN) is the activation function. This work discusses properties of activation functions in multilayer neural networks applied to breast cancer stage classification. There are a number of common activation functions in use with ANNs. The main objective in this work is to compare and analyze the performance of MLPs which has back-propagation algorithm using various activation functions for the neurons of hidden and output layers to evaluate their performance on the stage classification of breast cancer data.
Survival analysis can be considered a classification problem in which the application of machine-learning methods is appropriate. By establishing meaningful intervals of time according to a particular situation, survival analysis can easily be seen as a classification problem. Survival analysis methods deals with waiting time, i.e. time till occurrence of an event. Commonly used method to classify this sort of data is logistic regression. Sometimes, the underlying assumptions of the model are not true. In model building, choosing an appropriate model depends on complexity and the characteristics of the data that affect the appropriateness of the model. Two such strategies, which are used nowadays frequently, are artificial neural network (ANN) and decision trees (DT), which needs a minimal assumption. DT and ANNs are widely used methodological tools based on nonlinear models. They provide a better prediction and classification results than the traditional methodologies such as logistic regression. This study aimed to compare predictions of the ANN, DT and logistic models by breast cancer survival. In this work our goal is to design models using both artificial neural networks and logistic regression that can precisely predict the output (survival) of breast cancer patients. Finally we compare the performances of these models using receiver operating characteristic (ROC) analysis.
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Estudio numérico parametrizado del punzonamiento en losas de hormigón armado. Evaluación del refuerzo estructuralNavarro Menargues, Miguel 06 September 2018 (has links)
En el presente trabajo se aborda la tesis “Estudio paramétrico con FEM del refuerzo a punzonamiento de losas de hormigón armado”. Se trata de todo lo relacionado con el fenómeno resistente de punzonamiento en estructuras, especialmente en forjados construidos mediante hormigón armado. Se trata de cuatro apartados bien diferenciados. En este, el primero, se desarrolla la síntesis de la tesis, donde se marcan unos objetivos, seguido de una explicación detallada y descripción de este fenómeno mediante su estado del arte, que abarca el grueso de éste primer apartado, en el cual se describen, entre otros aspectos, las diferentes patologías producidas por el punzonamiento y casos de sucesos catastróficos que provocaron, la historia de los forjados y los principales estudios llevados a cabo sobre este fenómeno, y acabando con las principales resultados y conclusiones de la tesis. Después, el segundo y tercer apartado contienen los artículos publicados y no publicados, respectivamente, por capítulos. Por último, se desarrollan las conclusiones en el último y cuarto apartado.
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A study of trilateral flash cycles for low-grade waste heat recovery-to-power generationAjimotokan, Habeeb A. 10 1900 (has links)
There has been renewed significance for innovative energy conversion
technologies, particularly the heat recovery-to-power technologies for
sustainable power generation from renewable energies and waste heat. This is
due to the increasing concern over high demand for electricity, energy shortage,
global warming and thermal pollution. Among the innovative heat recovery-to-
power technologies, the proposed trilateral flash cycle (TFC) is a promising
option, which presents a great potential for development. Unlike the Rankine
cycles, the TFC starts the working fluid expansion from the saturated liquid
condition rather than the saturated, superheated or supercritical vapour phase,
bypassing the isothermal boiling phase. The challenges associated with the
need to establish system design basis and facilitate system configuration
design-supporting analysis from proof-of-concept towards a market-ready TFC
technology are significant. Thus, there is a great need for research to improve
the understanding of its operation, behaviour and performance. The objective of
this study is to develop and establish simulation tools of the TFCs for improving
the understanding of their operation, physics of performance metrics and to
evaluate novel system configurations for low-grade heat recovery-to-power
generation. This study examined modelling and process simulation of the TFC
engines in order to evaluate their performance metrics, predictions for guiding
system design and parameters estimations. A detailed thermodynamic analysis,
performance optimization and parametric analysis of the cycles were
conducted, and their optimized performance metrics compared. These were
aimed at evaluating the effects of the key parameters on system performances
and to improve the understanding of the performance behaviour. Four distinct
system configurations of the TFC, comprising the simple TFC, TFC with IHE,
reheat TFC and TFC with feed fluid-heating (or regenerative TFC) were
examined. Steady-state steady-flow models of the TFC power plants,
corresponding to their thermodynamic processes were thermodynamically
modelled and implemented using engineering equation solver (ESS). These
models were used to determine the optimum synthesis/ design parameters of the cycles and to evaluate their performance metrics, at the subcritical operating
conditions and design criteria. Thus, they can be valuable tools in the
preliminary prototype system design of the power plants. The results depict that
the thermal efficiencies of the simple TFC, TFC with IHE, reheat TFC and
regenerative TFC employing n-pentane are 11.85 - 21.97%, 12.32 - 23.91%,
11.86 - 22.07% and 12.01 - 22.9% respectively over the cycle high temperature
limit of 393 - 473 K. These suggest that the integration of an IHE, fluid-feed
heating and reheating in optimized design of the TFC engine enhanced the heat
exchange efficiencies and system performances. The effects of varying the
expander inlet pressure at the cycle high temperature and expander isentropic
efficiency on performance metrics of the cycles were significant. They have
assisted in selecting the optimum-operating limits for the maximum performance
metrics. The thermal efficiencies of all the cycles increased as the inlet
pressures increased from 2 - 3 MPa and increased as the expander isentropic
efficiencies increased from 50 - 100%, while their exergy efficiencies increased.
This is due to increased net work outputs that suggest optimal value of pressure
ratios between the expander inlets and their outlets. A comprehensive
evaluation depicted that the TFC with IHE attained the best performance
metrics among the cycles. This is followed by the regenerative TFC whereas
the simple TFC and reheat TFC have the lowest at the same subcritical
operating conditions. The results presented show that the performance metrics
of the cycles depend on the system configuration, and the operating conditions
of the cycles, heat source and heat sink. The results also illustrate how system
configuration design and sizing might be altered for improved performance and
experimental measurements for preliminary prototype development.
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A study of trilateral flash cycles for low-grade waste heat recovery-to-power generationAjimotokan, Habeeb A. January 2014 (has links)
There has been renewed significance for innovative energy conversion technologies, particularly the heat recovery-to-power technologies for sustainable power generation from renewable energies and waste heat. This is due to the increasing concern over high demand for electricity, energy shortage, global warming and thermal pollution. Among the innovative heat recovery-to- power technologies, the proposed trilateral flash cycle (TFC) is a promising option, which presents a great potential for development. Unlike the Rankine cycles, the TFC starts the working fluid expansion from the saturated liquid condition rather than the saturated, superheated or supercritical vapour phase, bypassing the isothermal boiling phase. The challenges associated with the need to establish system design basis and facilitate system configuration design-supporting analysis from proof-of-concept towards a market-ready TFC technology are significant. Thus, there is a great need for research to improve the understanding of its operation, behaviour and performance. The objective of this study is to develop and establish simulation tools of the TFCs for improving the understanding of their operation, physics of performance metrics and to evaluate novel system configurations for low-grade heat recovery-to-power generation. This study examined modelling and process simulation of the TFC engines in order to evaluate their performance metrics, predictions for guiding system design and parameters estimations. A detailed thermodynamic analysis, performance optimization and parametric analysis of the cycles were conducted, and their optimized performance metrics compared. These were aimed at evaluating the effects of the key parameters on system performances and to improve the understanding of the performance behaviour. Four distinct system configurations of the TFC, comprising the simple TFC, TFC with IHE, reheat TFC and TFC with feed fluid-heating (or regenerative TFC) were examined. Steady-state steady-flow models of the TFC power plants, corresponding to their thermodynamic processes were thermodynamically modelled and implemented using engineering equation solver (ESS). These models were used to determine the optimum synthesis/ design parameters of the cycles and to evaluate their performance metrics, at the subcritical operating conditions and design criteria. Thus, they can be valuable tools in the preliminary prototype system design of the power plants. The results depict that the thermal efficiencies of the simple TFC, TFC with IHE, reheat TFC and regenerative TFC employing n-pentane are 11.85 - 21.97%, 12.32 - 23.91%, 11.86 - 22.07% and 12.01 - 22.9% respectively over the cycle high temperature limit of 393 - 473 K. These suggest that the integration of an IHE, fluid-feed heating and reheating in optimized design of the TFC engine enhanced the heat exchange efficiencies and system performances. The effects of varying the expander inlet pressure at the cycle high temperature and expander isentropic efficiency on performance metrics of the cycles were significant. They have assisted in selecting the optimum-operating limits for the maximum performance metrics. The thermal efficiencies of all the cycles increased as the inlet pressures increased from 2 - 3 MPa and increased as the expander isentropic efficiencies increased from 50 - 100%, while their exergy efficiencies increased. This is due to increased net work outputs that suggest optimal value of pressure ratios between the expander inlets and their outlets. A comprehensive evaluation depicted that the TFC with IHE attained the best performance metrics among the cycles. This is followed by the regenerative TFC whereas the simple TFC and reheat TFC have the lowest at the same subcritical operating conditions. The results presented show that the performance metrics of the cycles depend on the system configuration, and the operating conditions of the cycles, heat source and heat sink. The results also illustrate how system configuration design and sizing might be altered for improved performance and experimental measurements for preliminary prototype development.
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