1000 resultados para Análise pushover
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Civil
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Dissertação para obtenção do Grau de Mestre em Engenharia Civil - Perfil Estruturas
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Dissertação para obtenção do Grau de Mestre em Engenharia Civil, Perfil de Estruturas
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Estruturas
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As construções em alvenaria representam grande parte da cultura do passado, e constituem a maioria dos edifícios existentes em Portugal. Para além disso, a elevada probabilidade da ocorrência de um grande sismo em Portugal, e as consequências resultantes, conduz à necessidade de um estudo mais detalhado e aprofundado acerca do comportamento deste tipo de estruturas. As metodologias modernas de avaliação de estruturas requerem análises estruturais cada vez mais detalhadas, o que torna necessário o estudo de modelos numéricos com recurso a programas de cálculo, capazes de prever aproximadamente o comportamento deste tipo de estruturas. O desenvolvimento verificado nesses programas de cálculo, assim como a grande lacuna existente no estudo de estruturas em alvenaria, resultante da dificuldade associada à caracterização mecânica deste tipo de material, e da complexidade da sua resposta estrutural quando sujeitas à acção sísmica, têm conduzido a um crescente interesse pelo estudo de estruturas em alvenaria. O forte comportamento inelástico de painéis de alvenaria torna inadequado o uso de análises estáticas lineares, e por esta razão, têm sido propostas várias estratégias que permitem lidar com o comportamento não linear deste tipo de estruturas. A análise pushover permite avaliar o desempenho da estrutura quando sujeita à acção sísmica que, normalmente, consiste na comparação entre o deslocamento exigido pelo sismo com a capacidade de deformação da estrutura, sendo esta última obtida a partir da curva de capacidade da estrutura. As diferentes ferramentas numéricas existentes, baseadas normalmente no uso de macro-elementos, alguns dos quais abordados neste trabalho, não são novidade no estudo de estruturas de alvenaria, mas as potencialidades actuais ainda não estão completamente estudadas, em particular no que diz respeito às aplicações não lineares e à problemática envolvida na escolha dos parâmetros mecânicos que caracterizam o material em estudo. Deste modo, neste trabalho estuda-se o macro-modelo, implementado no software 3DMacro, através da modelação de uma parede em alvenaria, com recurso ao programa referido, com o objectivo de obter a curva de capacidade da parede. Os resultados obtidos foram comparados com os resultados experimentais, assim como com outros estudos presentes na literatura, de modo a mostrar a adequabilidade do macro-modelo em estudo e contribuir para o conhecimento e impulsionamento do uso destas ferramentas neste contexto.
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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Estruturas
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Em Portugal grande parte dos edifícios históricos antigos são constituídos por alvenaria de pedra. Este género de construção é particularmente vulnerável a ações de natureza dinâmica, nomeadamente a ações sísmicas. O estudo da vulnerabilidade sísmica destes edifícios permite estimar os níveis de dano expectáveis, aquando da ocorrência de um sismo e apoiar o desenvolvimento de técnicas de reforço que permitam evitar o colapso dos mesmos. O objetivo principal do presente estudo é avaliar a vulnerabilidade sísmica do arco da rua Augusta em Lisboa, perante um evento sísmico regulamentar, utilizando um programa de cálculo comercial especializado que permite a utilização de análises dinâmicas não lineares. Numa primeira fase procedeu-se à identificação modal do arco, com recurso a ensaios de vibração ambiental. Os resultados destes ensaios de caracterização dinâmica foram utilizados para calibrar o modelo numérico, o qual foi desenvolvido no programa de cálculo Extreme Loading for Structures, baseado no Método dos Elementos Aplicados. O modelo numérico foi utilizado, numa segunda fase, para avaliar a vulnerabilidade sísmica do arco. Uma análise preliminar pushover permitiu obter a curva de capacidade da estrutura, que por sua vez, possibilita a definição os limites de um conjunto de estados de dano considerados relevantes para o arco. Subsequentes análises sísmicas não lineares e a definição de curvas de fragilidade, permitem estimar os níveis de dano prováveis para vários níveis de ação sísmica e concluir sobre a vulnerabilidade sísmica do Arco da Rua Augusta perante um cenário sísmico regulamentar.
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BACKGROUND: The model for end-stage liver disease (MELD) was developed to predict short-term mortality in patients with cirrhosis. There are few reports studying the correlation between MELD and long-term posttransplantation survival. AIM: To assess the value of pretransplant MELD in the prediction of posttransplant survival. METHODS: The adult patients (age >18 years) who underwent liver transplantation were examined in a retrospective longitudinal cohort of patients, through the prospective data base. We excluded acute liver failure, retransplantation and reduced or split-livers. The liver donors were evaluated according to: age, sex, weight, creatinine, bilirubin, sodium, aspartate aminotransferase, personal antecedents, brain death cause, steatosis, expanded criteria donor number and index donor risk. The recipients' data were: sex, age, weight, chronic hepatic disease, Child-Turcotte-Pugh points, pretransplant and initial MELD score, pretransplant creatinine clearance, sodium, cold and warm ischemia times, hospital length of stay, blood requirements, and alanine aminotransferase (ALT >1,000 UI/L = liver dysfunction). The Kaplan-Meier method with the log-rank test was used for the univariable analyses of posttransplant patient survival. For the multivariable analyses the Cox proportional hazard regression method with the stepwise procedure was used with stratifying sodium and MELD as variables. ROC curve was used to define area under the curve for MELD and Child-Turcotte-Pugh. RESULTS: A total of 232 patients with 10 years follow up were available. The MELD cutoff was 20 and Child-Turcotte-Pugh cutoff was 11.5. For MELD score > 20, the risk factors for death were: red cell requirements, liver dysfunction and donor's sodium. For the patients with hyponatremia the risk factors were: negative delta-MELD score, red cell requirements, liver dysfunction and donor's sodium. The regression univariated analyses came up with the following risk factors for death: score MELD > 25, blood requirements, recipient creatinine clearance pretransplant and age donor >50. After stepwise analyses, only red cell requirement was predictive. Patients with MELD score < 25 had a 68.86%, 50,44% and 41,50% chance for 1, 5 and 10-year survival and > 25 were 39.13%, 29.81% and 22.36% respectively. Patients without hyponatremia were 65.16%, 50.28% and 41,98% and with hyponatremia 44.44%, 34.28% and 28.57% respectively. Patients with IDR > 1.7 showed 53.7%, 27.71% and 13.85% and index donor risk <1.7 was 63.62%, 51.4% and 44.08%, respectively. Age donor > 50 years showed 38.4%, 26.21% and 13.1% and age donor <50 years showed 65.58%, 26.21% and 13.1%. Association with delta-MELD score did not show any significant difference. Expanded criteria donors were associated with primary non-function and severe liver dysfunction. Predictive factors for death were blood requirements, hyponatremia, liver dysfunction and donor's sodium. CONCLUSION: In conclusion MELD over 25, recipient's hyponatremia, blood requirements, donor's sodium were associated with poor survival.
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Errors are always present in experimental measurements so, it is important to identify them and understand how they affect the results of experiments. Statistics suggest that the execution of experiments should follow random order, but unfortunately the complete randomization of experiments is not always viable for practical reasons. One possible simplification is blocked experiments within which the levels of certain factors are maintained fixed while the levels of others are randomized. However this has a cost. Although the experimental part is simplified, the statistical analysis becomes more complex.
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Chromatography combined with several different detection systems is one of the more used and better performing analytical tools. Chromatography with tandem mass spectrometric detection gives highly selective and sensitive analyses and permits obtaining structural information about the analites and about their molar masses. Due to these characteristics, this analytical technique is very efficient when used to detect substances at trace levels in complex matrices. In this paper we review instrumental and technical aspects of chromatography-tandem mass spectrometry and the state of the art of the technique as it is applied to analysis of toxic substances in food.
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A method to quantify lycopene and β-carotene in freeze dried tomato pulp by high performance liquid chromatography (HLPC) was validated according to the criteria of selectivity, sensitivity, precision and accuracy, and uncertainty estimation of measurement was determined with data obtained in the validation. The validated method presented is selective in terms of analysis, and it had a good precision and accuracy. Detection limit for lycopene and β-carotene was 4.2 and 0.23 mg 100 g-1, respectively. The estimation of expanded uncertainty (K = 2) for lycopene was 104 ± 21 mg 100 g-1 and for β-carotene was 6.4 ± 1.5 mg 100 g-1.
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This manuscript aims to show the basic concepts and practical application of Principal Component Analysis (PCA) as a tutorial, using Matlab or Octave computing environment for beginners, undergraduate and graduate students. As a practical example it is shown the exploratory analysis of edible vegetable oils by mid infrared spectroscopy.
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The difficulty in adapting European dairy cows breeds in Brazil affect considerably the milk production sector. Brazilian climatic conditions are not totally favorable and the development of new tecnologies is needed for the animals express their genetic potential, as well as their best feed conversion. An economical analysis of the applied investment in the free-stall climatization equipment in dairy housing, for estimating studies related to profit, possibility of return investment as well as time for this return is necessary. The objective of this research was to evaluate the influence of climatization investment in the milk production process and analyze the economical aspect of this investment. There were used 470 high productive dairy cows with genetic and morphologic homogeneous characteristics, and analyzed in two similar periods. Investment calculations were done using Excell®. The results were satisfactory and the invested capital was proved to return to the producer in a short term, 57 days.
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The purpose of this work was to analyze the logistical distribution of Brazilian soybean by applying a quadratic programming to a spatial equilibrium model. The soybean transportation system is an important part of the soybean complex in Brazil, since the major part of the costs of this commodity derives from the transportation costs. Therefore, the optimization of this part of the process is essential to a better competitiveness of the Brazilian soybean in the international market. The Brazilian soybean complex have been increasing its agricultural share in the total of the exportation value in the last ten years, but due to other countries' investments the Brazilian exportations cannot be only focused on increasing its production but it still have to be more efficient. This way, a model was reached which can project new frames by switching the transportation costs and conduce the policy makers to new investments in the sector.