989 resultados para Transportes automotores-Carga


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Tradicionalmente a prescrição de exercícios físicos é baseada unicamente em relação à carga externa. Entretanto, as adaptações fisiológicas em função do treinamento físico dependem da carga interna. Assim, a carga interna deve ser levada em consideração para uma otimização da prescrição exercícios físicos, principalmente durante exercícios em grupos que normalmente são utilizados para a população idosa. Porém, o envelhecimento parece acarretar em deteriorações na capacidade de interocepção, colocando em questionamento a validade de um dos principais métodos de quantificação da carga interna, o método que utiliza a percepção subjetiva de esforço (PSE). Desse modo, o objetivo do presente estudo foi comparar os métodos de quantificação da carga interna que utilizam a frequência cardíaca (FC), considerado o padrão-ouro para o presente estudo, com o método que utiliza a PSE na população idosa. Quarenta idosos praticantes de ginástica aeróbia (A) ou musculação (M) foram avaliados durante uma sessão de exercícios físicos. A determinação da carga interna pela FC e pela PSE foram realizadas através dos métodos de Edwards e de Foster, respectivamente. Os valores de carga interna (expressos em unidades arbitrárias) calculados pelo método da FC e PSE foram 69,4 ± 40,0 e 151,5 ± 83,5 para o grupo M e 73,3 ± 37,1 e 134,7 ± 41,6 para o grupo A, respectivamente. O valor de carga interna para os dois grupos em conjunto foi de 71,3 ± 38,2 pelo método da FC e de 143,1 ± 65,7 pela PSE. A relação entre os métodos foi determinada usando-se o coeficiente de correlação de Pearson para todos os participantes em conjunto (T), assim como para os grupos M e A. As correlações encontradas foram de r = 0,33 (p < 0,05) para T, r = 0,37 (p = 0,11) para M e r = 0,32 (p = 0,17) para A. A moderada correlação obtida coloca em questão a utilização do método da PSE para a quantificação de carga interna...

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Empresas muitas vezes tem seu consumo de energia elétrica descontrolados por possuírem motores elétricos muitas vezes super-dimensionados, trabalhando em vazio ou em horário de pico. Sendo este tipo de atividade responsável por grande parte do gasto energético da empresa. Existem dois fatores que avaliam o modo de utilização desta energia, denominados fator de potência (fp) e fator de carga (fc), que indicam a eficiência e racionalidade da forma de utilização da energia elétrica, respectivamente. A necessidade de uma avaliação global da utilização da energia, levando em consideração os dois fatores citados, é realizada por especialistas da área energética para a determinação da situação real da empresa. Podendo ser uma tarefa árdua muitas vezes demorada. Para isto é necessária uma análise estatística descritiva dos dados. Este trabalho tem como objetivo realizar esta analise de dados de uma empresa de refino de óleo vegetal.

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In the pumping pipelines the located load losses are very important since they have direct influence on hydraulic design of an irrigation system, especially regarding the concentric reducers used in the distribution lines. Hence this work was conducted in the Laboratório de Hidráulica do Centro Federal de Educação Tecnológica de Uberaba. We analyzed 03 concentric reducers PVC 75 x 50 mm, 50 mm and 35 x 35 x 1 "operating at different flow rates. The performance of the tests with the variation of flow in every situation possible to obtain equations to estimate the loss. The equation models presented a high setting, thus enabling the determination of the localized head loss in a situation closer to field reality. For the reduction of 75 x 50 x 35 mm and 50 mm at a flow rate 16.97 m³ h-1 the pressure drop reduction was obtained respectively 0.9263 and 2.7408 mca. To the reduction of 35 x 1 "at a flow rate of 6.02 m³ h-1 was obtained 2.9304 mca pressure drop reduction. The located losses produced by these reductions are relatively high and should be considered with great discretion in hydraulic design of the irrigation system.

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No-till has been used in many different regions of Brazil. However, depending on the location and intensity of machinery traffic, this has caused the problem of soil compaction and many producers are scarification the land as a solution to break through the layer that is restricting plant growth. The objective of this study was to evaluate the influence of scarification (0.30 m) in the physical properties of a dystrophic Alfisol comparing the results with a non-scarified contiguous area; both were previously conducted using no-till. The density and pressure of pre-consolidation were sampled in two areas of non-tillage, one with chiseling (PDCE) and one without (PDSE) by using the UMAS -Mobile Soil Sampling Unit built by NEMPA – Agroforestry Machinery and Tire Testing Center/FCA / UNESP, Botucatu ,SP. The UMAS is equipped with GPS which allows the samples to be georeferenced. The samples were evaluated in the laboratory through the collection of standardized rings. Sampling was performed at a dimension of 15 x 50 m, with 160 rings being collected. The samples containing rings which were used in determining the density and also for testing the consolidometer, were collected from the layers of 0 to 0.10 m, 0.10 to 0.20 m, 0.20 to 0.30 0.30 to I 0.40 m. For the odometer test the undisturbed sample rings were used in obtaining the load bearing capacity of the soil. The soil management adopted provided a decrease in soil density using no-tillage with scarification depths from 0.0 to 0.10 0.10 to 0.20 m while the other depths did not show any decrease. The pre-consolidation pressure in combination with soil aggregate resistance identified that the management process PDCE within all layers was subjected to water content reliability regarding a greater load bearing capacity of the soil. For the PDSE that only was possible in the 0 to 0.10 m, showing greater consolidation of this layer.

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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In Geotechnical engineering the foundation projects depend on the bearing capacity and the acceptable displacements. One of the possible ways to predict the bearing capacity of foundations is through semi-empirical statistical methods which correlate in-situ tests (SPT and CPT). The piles breaking loads are defined by the interpretation of the load x head displacement curve and the experimental data acquired through the load test. In this work it is studied the behavior of bored piles executed in the Araquari/SC region, comparing the bearing capacity values predicted by the methods DECOURT & QUARESMA MODIFICADO (1996), AOKI & VELLOSO MODIFICADO MONTEIRO (2000), MILITITISKY E ALVES (1985), DECOURT & QUARESMA (1978), MÉTODO DE AOKI & VELLOSO (1975) e PHILOPANNAT (1986), with the results of the load test, evaluating their differences and discussing parameters that have direct effects on the prediction

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This paper presents one proposal of the energy management's model system using photovoltaic panels. The module proposed seeks to monitor photovoltaic panels, which have intermittency in power generation caused by environmental or load conditions, in order to control the coupling between the panel and the load - through the charge controller, of aiming that the panel's operation will be always on the maximum power transfer point as possible. For this, it used the maximum power point tracking technique - MPPT, implemented in LabVIEW software, also utilizing the data acquisition card NI myDAQ. In addition, it was implemented the controller access remote module, from the sharing of network data, so the panels performance can be through a tablet, monitored and controlled with no need for direct contact with the Supervisory server

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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In Geotechnical engineering the foundation projects depend on the bearing capacity and the acceptable displacements. One of the possible ways to predict the bearing capacity of foundations is through semi-empirical statistical methods which correlate in-situ tests (SPT and CPT). The piles breaking loads are defined by the interpretation of the load x head displacement curve and the experimental data acquired through the load test. In this work it is studied the behavior of bored piles executed in the Araquari/SC region, comparing the bearing capacity values predicted by the methods DECOURT & QUARESMA MODIFICADO (1996), AOKI & VELLOSO MODIFICADO MONTEIRO (2000), MILITITISKY E ALVES (1985), DECOURT & QUARESMA (1978), MÉTODO DE AOKI & VELLOSO (1975) e PHILOPANNAT (1986), with the results of the load test, evaluating their differences and discussing parameters that have direct effects on the prediction