955 resultados para Diafragma (Engenharia estrutural)
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Through this research is detailed the Brazilian seismic code focused on concrete projects design related to seismic engineering. At the beginning of the research is debated the fundaments of the seismic effects, the influence factors to the development of seismic effects and also relates the main data registration happened in Brazil. The second step is study the Brazilian seismic code explaining all the concepts related to it and does a compilation to the most important international seismic code. At this research is developed the designing of a building submitted to horizontal equivalent seismic forces and the modal process based on the answer spectrum based on the brazilin seismic code. It was also developed the design of a commercial building submitted to seismic loads based on the Brazilian code answer spectrum and compared to the same building submitted to wind loads.The research also focus on projects conception and detailing of seismic engineering Project design. At the study of seismic engineering it was concluded that seismic effects require special focus on concrete structures design, proving that is the essential consider the seismic effects
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This thesis deals with the quality dimensions and factors affecting citizens satisfaction in the participatory budgeting process in a major city of Brazil. Participatory budgeting was introduced as a usual practice in many Brazilian cities since the 1990s. It is adapted a model proposed by Johnson et al. (2001) of customer satisfaction and loyalty antecedent factors with constructs related to governance also included, to evaluate the quality perception and satisfaction rates by citizens representatives in the participatory budgeting process. It is conducted a survey with a sample of 84 citizens representatives of the seven city regions of Natal, the capital of a Northeastern State of Brazil. It is applied descriptive and multiple regression statistical analysis. The main findings related to quality and governance constructs are that the quality factors are the main factors affecting satisfaction but also the tax construct is significative to satisfaction. More regarding it was found that for different perspective of the satisfaction there are different set of factors affecting it
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This thesis deals with the factors affecting customer satisfaction, loyalty and recommendation in the health care sector. It is adapted a model proposed by Johnson et al. (2001) of quality and loyalty antecedent factors and it is conducted a survey with a sample of 109 customers of a hospital on the ambulatory in Natal city, a capital of a Northeastern State of Brazil. It is carried descriptive and multiple regression statistical analysis. The main findings related to satisfaction are that quality factors of doctor professionalism, clerical staff efficiency, consultancy room comfort, time to provide the medical consultancy but also hospital localization are the most significant factors affecting satisfaction. Regarding personal full loyalty, satisfaction with the hospital and affective commitment are the main factors yet for partial loyalty image and calculate commitment play the main role. For recommendation satisfaction, image and brand are the main factors. The overall model used fairly explains the satisfaction, loyalty and recommendation outcomes with varying factors regarding each final purpose, e.g. loyalty or recommendation
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The purpose of this dissertation is to formulate guidelines for the improvement of maturity models, or the development of new ones, aiming at its application to project departments. The maturity of project management has become critical for organizations that develop projects and want to stand out in the market they serve. For this purpose, maturity models provide paths in order to guarantee that the institutionalization of project management is achieved in the best possible way. Generally, these models assess the organization, define its current situation in managing projects and propose steps to be performed in the search of more advanced levels of maturity. With the objective of contributing to the improvement of maturity models for specific cases, a bibliographical research was conducted for the preparation of a comparative analysis matrix and performed a case study for application of two maturity models (MMGP and PMMM levels 2 and 3), selected based on criteria found in the literature, in an engineering department of an oil company. The case study supported the realization of a comparative analysis of models, from which guidelines were formulated for improvement. The results showed that thedepartment is evaluated in a medium stage of maturity, recording significant progress in some dimensions assessed. They also found that the results of applying the two models are presented as complementary, although the model is highlighted by the greater depth of MMGP diagnostic, considering many variables in their levels of maturity than model PMMM (levels 2 and 3).Finally, directions have been formulated that contribute to the improvement of maturity models, taking in account the organizational environment in which this work was developed
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This thesis aims at analyzing the perspective of graduates perceived quality of an undergraduate course in order to contribute to continuous improvement. In order to achieve the proposed objectives, we performed a literature search, seeking together the work surrounding this issue, with the intent to update the concepts discussed today on the subject studied, they are: quality management, quality in higher education institutions and the system national assessment of higher education - Sinaes. The methodology is characterized as a case study, quantitative, and the object of study is composed of students who graduated from Production Engineering, Federal University of Rio Grande do Norte, which includes students who graduated from 2002 to 2010; data collection was done through the survey instrument, questionnaire, available online through SurveyMonkey interface, data analysis was done by means of descriptive statistics and multivariate analysis, including factor analysis. The proposed survey instrument consists of questions nineteen and twenty statements that address the central theme of this dissertation. The results show the identification of four latent factors (obtained by exploratory factor analysis), through two perspectives, the analysis of perception and importance, the results were similar in terms of the variable factors. The first factor was related to the support given to students, a factor known to support two extra class, the third factor related aspects of the library, and finalizing the evaluation and approached a factor of 4 facilities. Through research it was concluded that this study presents several points to be improved by the management team, and recommended to continue to evaluate the perceptions of graduates, seeking continuous improvement in service delivery by the university
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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This Master of Science Thesis deals with applying DEA (Data Envelopment Analysis) to the academic performance evaluation of graduate programs in Brazil, exploring it on a Mechanical and Production Engineering Program 2001-2003 data. The data used is that of the national assessment carried by CAPES, the governmental body in charge for graduate program assessment and certification. It is used the CCR output oriented DEA model, the CCR-Output with Assurance Region, and Window Analysis. The main findings are first that the CCR has the concerning problem of zero values of weights of outputs that is not appropriate in a sense that a graduate program has the higher efficiency score zeroing some output (e.g., number of academic papers published). Secondly, the Assurance Region method proved useful. Third, the Window Analysis also gave some light to the consistency of the performance in the time frame analysed. Also, the analysis results in the understanding that the Mechanics and Production Engineering should not be assessed jointly like currently applied by CAPES and rather should be assessed in its own field separately. Finally, the result of the DEA analysis showed some serious inconsistencies with the CAPES method. Graduate programs considered excellent has got low performance score and vice versa. This Thesis provides a strong argument in order to use DEA at least as a complimentary methodology for graduate program performance evaluation in Brazil
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This research aims at to contribute to show the consolidation of the area of Information Systems (IS) as area of knowledge in Production Engineering. For this, it according to presents a scenery of the publication in IS in the field of the Production Engineering in Brazil amount of articles, the authorship profile, the methodologies, the citations, the research thematic and the continuity of the research thematic. The base for this study was the works published in the National Meeting of Production Engineering - ENEGEP of years 2000, 2001, 2002, 2003 and 2004, inside of the area of Information Systems. Classified as bibliographical research, of applied nature, quantitative boarding, of the point of view of the objectives description-exploration was called and for the collection of data its comment was systematic with bibliographical survey. As field research, the method of collection of data if constituted of the elaboration of an analysis protocol and, to arrive itself at the final diagnosis, it operation the data through the statistical method, with the accomplishment of descriptive analyses. It approached concepts of IS and the seek areas and, it studied research correlate in Production Engineering, in Information Systems, in Information Science and other areas of the knowledge. How much to the results one concluded that the national and international contents are compatible and that the area of IS is in constant evolution. For the continuity of research lines it was observed that the majority of the authors was faithful to the area of Systems of Information. Amongst other found results, some institutions must try to increase its volume of publications and research, while others must look for to keep its reached mark already in the last years
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The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries
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In the recovering process of oil, rock heterogeneity has a huge impact on how fluids move in the field, defining how much oil can be recovered. In order to study this variability, percolation theory, which describes phenomena involving geometry and connectivity are the bases, is a very useful model. Result of percolation is tridimensional data and have no physical meaning until visualized in form of images or animations. Although a lot of powerful and sophisticated visualization tools have been developed, they focus on generation of planar 2D images. In order to interpret data as they would be in the real world, virtual reality techniques using stereo images could be used. In this work we propose an interactive and helpful tool, named ZSweepVR, based on virtual reality techniques that allows a better comprehension of volumetric data generated by simulation of dynamic percolation. The developed system has the ability to render images using two different techniques: surface rendering and volume rendering. Surface rendering is accomplished by OpenGL directives and volume rendering is accomplished by the Zsweep direct volume rendering engine. In the case of volumetric rendering, we implemented an algorithm to generate stereo images. We also propose enhancements in the original percolation algorithm in order to get a better performance. We applied our developed tools to a mature field database, obtaining satisfactory results. The use of stereoscopic and volumetric images brought valuable contributions for the interpretation and clustering formation analysis in percolation, what certainly could lead to better decisions about the exploration and recovery process in oil fields
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Numerosas pesquisas têm estudado os métodos não-destrutivos de avaliação de materiais e sua aplicação àqueles de matrizes complexas, como é o caso da madeira. Um dos primeiros métodos não-destrutivos investigados para aplicação nesses casos foi o da vibração transversal. Apesar de sua concepção simples, e a despeito dos grandes avanços obtidos nessa área com outros métodos, como, por exemplo, o ultra-som, o método de vibração transversal para a determinação do módulo de elasticidade da madeira revela-se como de grande potencial de aplicação, sobretudo pela precisão do modelo matemático a ele associado e pela possibilidade de sua aplicação a peças de dimensões estruturais (in-grade testing). Neste trabalho, apresenta-se o uso desse método na determinação do módulo de elasticidade de três espécies de eucalipto. Foram ensaiados não-destrutivamente e por ensaios mecânicos convencionais de flexão corpos-de-prova de 2 cm x 2 cm x 46 cm de E. grandis, E. saligna e E. citriodora. Os ensaios não-destrutivos foram conduzidos com uso do sistema BING - Beam Identification by Non-destructive Grading, que permite a análise das vibrações do material nos domínios do tempo e da freqüência. Os resultados obtidos revelaram boa correlação entre os dois tipos de ensaios empregados, justificando o início dos ensaios com peças de dimensões estruturais, para a viabilização da técnica nas práticas de classificação estrutural.
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Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated
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The potential market of the metropolitan area of Salvador accounts for the estimated consumption of roughly 800 million horizontally perforated extruded clay bricks a year. The growing demand of consumers along with the competitiveness of the structural ceramic sector has driven forward a number of recent efforts and investments towards improving the quality of structural ceramics. In this scenario, the present study focused on sampling and evaluating the conformity of 8-hole horizontally perforated extruded clay bricks manufactured by different plants (A, B and C) in the metropolitan area of Salvador. In addition, representative clay and sandy-clay materials were collected from each plant and characterized by conventional physical, chemical and mineralogical techniques. Finally, experimental compositions designated as A, B and C, according to the source, were prepared by mixing different contents of the raw materials collected in the plants, fired at different temperatures and characterized. The results revealed a series of non conformities regarding ABNT guidelines. The characterization of raw materials revealed the presence of kaolinite and ilite in concentrations ranging from 64 to 90 wt.% along with free quartz (10 - 25%). The sandy-clay samples consisted basically of kaolinite. All raw materials depicted low contents of organics, amorphous constituents, alkaline oxides and feldspar. An analysis of the firing behavior of all different ceramic compositions revealed that the linear contraction of composition A was rather significant considering the temperature range evaluated, and it justifies the significant dimensional non conformity that was shown by bricks made with the ceramic A
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Geopolymers are cementing materials that depict a number of advantages compared to Portland cement. Contrary to the latter, geopolymers are synthesized at room temperature, thus significantly reducing the emission of CO2 to the atmosphere. Moreover, the composition and synthesis reactions can be tailored to adjust the setting time of the material as well as its compressive mechanical strength. It is then possible to produce geopolymeric cements with short setting times and high compressive strength, although relatively brittle. The objective of the present study was to produce and characterize composite materials by reinforcing fastsetting geopolymeric matrixes with polypropylene geosynthetics (geomats and geotextiles) in an attempt to improve the toughness and tensile strength of the cementing material. Geosynthetics have been increasingly used to reinforce engineering structures, providing higher strength and better toughness. In particular, polypropylene nonwoven and geomats depict other attractive properties such as low density, durability, impact absorption and resistance to abrasion. Fast-setting geopolymers were then synthesized and reinforced with polypropylene nonwoven and geomats. The mechanical strength of the materials, reinforced or not, was characterized. The results showed that relatively short setting times and adequate flowing behavior were achieved by adjusting the composition of the geopolymer. In addition, it is possible to improve the fracture resistance of geopolymeric cements by adding polypropylene geosynthetics. The best results were achieved by reinforcing geopolymer with polypropylene TNT
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The advantage in using vegetable fibres in place of synthetic fibres such as glass fibre, for reinforcements in composites are: biodegradability, low cost, low density, good tenacity, good thermal properties, low energy content and reduced use of instruments for its treatment or processing. Even though, problems related to low mechanical performance of some of the natural fibres, has caused difficulty in their direct application in structural elements. The use of alternative materials like hybrid composites has been encouraged, thus trying to better the structural performance of the composites with natural fibres. This work presents a comparative study of the strength and stiffness of hybrid composites with orthopthalic polyester matrix reinforced with E-fibre glass, jute and curauá. The experimental part includes uniaxial tension and three point bending tests to determine the mechanical properties of the final product. The hybrid composite was manufactured in a local industry and was in the form of laminates. All the samples were projected to withstand the possible structural applications as reservoirs and pipes. CH (laminated hybrid composite with glass and curauá fibres). The results obtained show clearly the influence of the hybridization in all the types tested and indicate a good mechanical performance of the composite with glass/curauá fibres in relation to the composite with glass fibres. Aspects in relation to the interfaces glass/curauá composites besides the fracture characteristics for all loading types were also analysed