Suunnitellun alas- ja ylösajon todennäköisyysperustainen riskianalyysi ydinvoimalaitokselle

Työssä tehtiin ydinvoimalaitoksen suunnitellun alas- ja ylösajon todennäköisyysperus-tainen riskianalyysi. Suunnitellun alasajon analyysi sisälsi Teollisuuden Voima Oyj:n käyttämän vanhan PRA-mallin päivityksen ja laajentamisen. Ylösajon analyysiä varten kehitettiin kokonaan uusi malli. Diplomityöselostuksen alussa on yleinen katsaus luotettavuustekniikan käsitteisiin, pe-rusperiaatteisiin ja työkaluihin. Sitten on esitelty laitostekniikkaa tärkeimpien alas- ja ylösajoihin osallistuvien järjestelmien osalta. Myös normaalit alas- ja ylösajotoimenpi-teet on kuvattu. Yleisen teoriaosuuden jälkeen on keskitytty uusien mallien muodosta-miseen. Työssä käytetyt oletukset ja arviot on esitelty perusteluineen. Uudet tapahtuma- ja vikapuut sekä niiden perusteella lasketut sydänvaurioriskit johtopäätöksineen on käy-ty läpi selostuksen lopussa. Alkutapahtumataajuuksien määrittäminen tehtiin vikapuiden avulla, joissa huomioitiin komponenttivikojen, inhimillisten virheiden ja ulkoisten tekijöiden vaikutus. Aiemmin alkutapahtumat oli määritetty pääasiassa käyttöhistorian perusteella. Uusi määrittelytapa antaa eri vikaantumistapojen välille paremman kuvan niiden keskinäisestä merkitykses-tä sekä paremman päivitettävyyden laitosmuutosten yhteydessä. Mallien avulla voidaan laskea alas- ja ylösajon merkitys kokonaissydänvauriotaajuuteen entistä yksityiskohtaisemmin. Tuloksia voidaan myös hyödyntää laitosten vikatilanteis-sa, kun vertaillaan jatketun käytön ja mahdollisten korjaustöiden vaatiman alas- ja ylösajon riskejä. Uusien mallien antamat tulokset laskivat vain hieman kokonaissydän-vauriotaajuutta, mutta merkittävästi alasajon vaikutusta siihen. Ylösajosta aiheutuva riskinlisä oli noin puolet alasajon riskistä.

Study of mesoscopic tunnel junctions between two normal metals

The main purpose of this work was to study different kinds of metal-based tunnel junctions at low temperatures. The problem which had to be solved was creating a junction with appropriate properties at these temperatures. The materials for junctions were found experimentally. The goal was to find an alloy material that can provide a high quality tunnel junction, which remains in the normal conductive state at low temperatures without applying magnetic field. The fabrication technology of such a device, based on an alloy of aluminium and manganese, is described in detail. In this thesis theoretical properties of tunnel junctions are considered and results of experiments with tunnel junctions are described and quantitative properties of the junctions are analyzed based on the experimental data.

Variação de vazão de gotejadores de fluxo normal enterrados na irrigação de café

Este trabalho teve como objetivo obter informações sobre o desempenho de gotejadores enterrados (irrigação subsuperficial), quanto ao aspecto de variação de vazão em função da intrusão radicular da cultura do café. As mudas de café foram irrigadas por sete modelos diferentes de gotejadores de fluxo normal, instalados a duas profundidades (15 e 30 cm da superfície do solo) e em dois níveis de depleção de água no solo (tratamentos úmido e seco). O trabalho foi conduzido em vasos e sob ambiente controlado, utilizando mudas de cafeeiro em estágio inicial de desenvolvimento. Concluiu-se que, até os 120 dias do início do experimento, não houve modelo de emissor que se destacasse quanto à penetração de raízes e, a partir daí, diferenças na suscetibilidade dos modelos foram observadas, podendo-se agrupar os modelos avaliados em função do grau de redução de vazão. Os níveis de irrigação não apresentaram resultados conclusivos até 120 dias do início do experimento, porém, considerando todo o período do experimento, observaram-se evidências de que o sistema radicular é mais agressivo na camada mais profunda de solo (30 cm) e para o tratamento úmido.

Modelo dinâmico de simulação e otimização da força normal de reação do solo para um mecanismo de corte basal

O modelo físico foi baseado no método de Newton-Euler, sendo o mesmo desenvolvido utilizando o programa computacional científico Mathematica®. Realizaram-se várias simulações, nas quais se procurou obter a força normal de reação do solo variando velocidades de avanço (0,69; 1,12; 1,48; 1,82 e 2,12 m s-1); perfis de solo (senoidal, rampa ascendente e descendente) e altura do camalhão (0,025 e 0,05 m). Após as simulações iniciais, o mecanismo foi otimizado utilizando o programa computacional científico Matlab®, tendo como critério (função-objetivo) a minimização da força normal de reação do perfil (F N) e como variáveis de projeto os comprimentos das barras (L1y, L2, l3 e L4), altura da operação (L7), o comprimento inicial da mola (Lmo) e a constante elástica da mola (k t). A falta de robustez do mecanismo em relação à variável altura de operação foi contornada por meio do uso de mola com baixa rigidez e grande comprimento. Os resultados demonstraram que o mecanismo otimizado obteve desempenho de flutuação muito bom, em relação ao mecanismo inicial.

Estudo granulométrico de grãos de soja normal e transgênico

Este trabalho foi desenvolvido com o propósito de estudar o comportamento granulométrico de grãos de soja em função da variação do teor de água. A pesquisa foi realizada com seis variedades, sendo duas transgênicas e quatro comuns, com os teores de água de 10%, 12%, 15%, 20% b.s. A granulometria foi determinada utilizando-se de seis subamostras de 120 grãos para cada teor de água, e as suas dimensões (comprimento, largura e espessura) obtidas por meio de paquímetro digital. Os resultados indicaram que cada variedade de soja comportou-se de maneira diferenciada e que as comuns tiveram comportamento granulométrico diferenciado das transgênicas.

Determination of management zones from normalized and standardized equivalent produtivity maps in the soybean culture

Through the site-specific management, the precision agriculture brings new techniques for the agricultural sector, as well as a larger detailing of the used methods and increase of the global efficiency of the system. The objective of this work was to analyze two techniques for definition of management zones using soybean yield maps, in a productive area handled with localized fertilization and other with conventional fertilization. The sampling area has 1.74 ha, with 128 plots with site-specific fertilization and 128 plots with conventional fertilization. The productivity data were normalized by two techniques (normalized and standardized equivalent productivity), being later classified in management zones. It can be concluded that the two methods of management zones definition had revealed to be efficient, presenting similarities in the data disposal. Due to the fact that the equivalent standardized productivity uses standard score, it contemplates a better statistics justification.

Management zones in agriculture acording to the soil and landscape variables

The study of spatial variability of soil and plants attributes, or precision agriculture, a technique that aims the rational use of natural resources, is expanding commercially in Brazil. Nevertheless, there is a lack of mathematical analysis that supports the correlation of these independent variables and their interactions with the productivity, identifying scientific standards technologically applicable. The aim of this study was to identify patterns of soil variability according to the eleven physical and seven chemical indicators in an agricultural area. It was used two multivariate techniques: the hierarchical cluster analysis (HCA) and the principal component analysis (PCA). According to the HCA, the area was divided into five management zones: zone 1 with 2.87ha, zone 2 with 0.8ha, zone 3 with 1.84ha, zone 4 with 1.33ha and zone 5 with 2.76ha. By the PCA, it was identified the most important variables within each zone: V% for the zone 1, CTC in the zone 2, levels of H+Al in the zone 4 and sand content and altitude in the zone 5. The zone 3 was classified as an intermediate zone with characteristics of all others. According to the results it is concluded that it is possible to separate into groups (management zones) samples with the same patterns of variability by the multivariate statistical techniques.

Management zones definition using soil chemical and physical attributes in a soybean area

Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.

Management zones using fuzzy clustering based on spatial-temporal variability of soil and corn yield

Clustering soil and crop data can be used as a basis for the definition of management zones because the data are grouped into clusters based on the similar interaction of these variables. Therefore, the objective of this study was to identify management zones using fuzzy c-means clustering analysis based on the spatial and temporal variability of soil attributes and corn yield. The study site (18 by 250-m in size) was located in Jaboticabal, São Paulo/Brazil. Corn yield was measured in one hundred 4.5 by 10-m cells along four parallel transects (25 observations per transect) over five growing seasons between 2001 and 2010. Soil chemical and physical attributes were measured. SAS procedure MIXED was used to identify which variable(s) most influenced the spatial variability of corn yield over the five study years. Basis saturation (BS) was the variable that better related to corn yield, thus, semivariograms models were fitted for BS and corn yield and then, data values were krigged. Management Zone Analyst software was used to carry out the fuzzy c-means clustering algorithm. The optimum number of management zones can change over time, as well as the degree of agreement between the BS and corn yield management zone maps. Thus, it is very important take into account the temporal variability of crop yield and soil attributes to delineate management zones accurately.

Redundant variables and the quality of management zones

ABSTRACT Precision agriculture (PA) allows farmers to identify and address variations in an agriculture field. Management zones (MZs) make PA more feasible and economical. The most important method for defining MZs is a fuzzy C-means algorithm, but selecting the variable for use as the input layer in the fuzzy process is problematic. BAZZI et al. (2013) used Moran’s bivariate spatial autocorrelation statistic to identify variables that are spatially correlated with yield while employing spatial autocorrelation. BAZZI et al. (2013) proposed that all redundant variables be eliminated and that the remaining variables would be considered appropriate on the MZ generation process. Thus, the objective of this work, a study case, was to test the hypothesis that redundant variables can harm the MZ delineation process. BAZZI This work was conducted in a 19.6-ha commercial field, and 15 MZ designs were generated by a fuzzy C-means algorithm and divided into two to five classes. Each design used a different composition of variables, including copper, silt, clay, and altitude. Some combinations of these variables produced superior MZs. None of the variable combinations produced statistically better performance that the MZ generated with no redundant variables. Thus, the other redundant variables can be discredited. The design with all variables did not provide a greater separation and organization of data among MZ classes and was not recommended.

Avaliação da expressão do gene MGMT nos tecidos normal e neoplásico de doentes com câncer colorretal

OBJETIVO: Avaliar a expressão tecidual do gene de reparo MGMT comparando a mucosa cólica normal e neoplásica em doentes com câncer colorretal. MÉTODOS: Foram estudados 44 portadores de adenocarcinoma colorretal confirmado por estudo histopatológico. Foram excluídos doentes suspeitos de pertencerem a famílias com câncer colorretal hereditário (HNPCC e PAF) e os portadores de câncer do reto médio e inferior submetidos a tratamento quimioradioterápico neoadjuvante. A expressão do gene MGMT foi avaliada pela técnica da reação de polimerase em cadeia em tempo real (RT-PCR). A comparação dos resultados encontrados para expressão do gene MGMT entre tecidos normais e neoplásicos foi feita pelo teste t de Student pareado, adotando-se nível de significância de 5% (p <0,05). RESULTADOS: A expressão tecidual do gene MGMT em todos os doentes foi menor no tecido neoplásico quando comparada a do tecido normal (p=0,002). CONCLUSÃO: O gene de reparo MGMT encontra-se menos expresso no tecido neoplásico quando comparados aos tecidos normais em portadores de CCR esporádico.