Aerodynamic Optimization of High-Speed Trains Nose using a Genetic Algorithm and Artificial Neural Network

An aerodynamic optimization of the train aerodynamic characteristics in term of front wind action sensitivity is carried out in this paper. In particular, a genetic algorithm (GA) is used to perform a shape optimization study of a high-speed train nose. The nose is parametrically defined via Bézier Curves, including a wider range of geometries in the design space as possible optimal solutions. Using a GA, the main disadvantage to deal with is the large number of evaluations need before finding such optimal. Here it is proposed the use of metamodels to replace Navier-Stokes solver. Among all the posibilities, Rsponse Surface Models and Artificial Neural Networks (ANN) are considered. Best results of prediction and generalization are obtained with ANN and those are applied in GA code. The paper shows the feasibility of using GA in combination with ANN for this problem, and solutions achieved are included.

Aerodynamic optimization of the ICE2 high-speed train nose using a genetic algorithm and metamodels

An aerodynamic optimization of the ICE 2 high-speed train nose in term of front wind action sensitivity is carried out in this paper. The nose is parametrically defined by Be?zier Curves, and a three-dimensional representation of the nose is obtained using thirty one design variables. This implies a more complete parametrization, allowing the representation of a real model. In order to perform this study a genetic algorithm (GA) is used. Using a GA involves a large number of evaluations before finding such optimal. Hence it is proposed the use of metamodels or surrogate models to replace Navier-Stokes solver and speed up the optimization process. Adaptive sampling is considered to optimize surrogate model fitting and minimize computational cost when dealing with a very large number of design parameters. The paper introduces the feasi- bility of using GA in combination with metamodels for real high-speed train geometry optimization.

Aerodynamic Optimization of the Nose Shape of a High-speed Train

La influencia de la aerodinámica en el diseño de los trenes de alta velocidad, unida a la necesidad de resolver nuevos problemas surgidos con el aumento de la velocidad de circulación y la reducción de peso del vehículo, hace evidente el interés de plantear un estudio de optimización que aborde tales puntos. En este contexto, se presenta en esta tesis la optimización aerodinámica del testero de un tren de alta velocidad, llevada a cabo mediante el uso de métodos de optimización avanzados. Entre estos métodos, se ha elegido aquí a los algoritmos genéticos y al método adjunto como las herramientas para llevar a cabo dicha optimización. La base conceptual, las características y la implementación de los mismos se detalla a lo largo de la tesis, permitiendo entender los motivos de su elección, y las consecuencias, en términos de ventajas y desventajas que cada uno de ellos implican. El uso de los algorimos genéticos implica a su vez la necesidad de una parametrización geométrica de los candidatos a óptimo y la generación de un modelo aproximado que complementa al método de optimización. Estos puntos se describen de modo particular en el primer bloque de la tesis, enfocada a la metodología seguida en este estudio. El segundo bloque se centra en la aplicación de los métodos a fin de optimizar el comportamiento aerodinámico del tren en distintos escenarios. Estos escenarios engloban los casos más comunes y también algunos de los más exigentes a los que hace frente un tren de alta velocidad: circulación en campo abierto con viento frontal o viento lateral, y entrada en túnel. Considerando el caso de viento frontal en campo abierto, los dos métodos han sido aplicados, permitiendo una comparación de las diferentes metodologías, así como el coste computacional asociado a cada uno, y la minimización de la resistencia aerodinámica conseguida en esa optimización. La posibilidad de evitar parametrizar la geometría y, por tanto, reducir el coste computacional del proceso de optimización es la característica más significativa de los métodos adjuntos, mientras que en el caso de los algoritmos genéticos se destaca la simplicidad y capacidad de encontrar un óptimo global en un espacio de diseño multi-modal o de resolver problemas multi-objetivo. El caso de viento lateral en campo abierto considera nuevamente los dos métoxi dos de optimización anteriores. La parametrización se ha simplificado en este estudio, lo que notablemente reduce el coste numérico de todo el estudio de optimización, a la vez que aún recoge las características geométricas más relevantes en un tren de alta velocidad. Este análisis ha permitido identificar y cuantificar la influencia de cada uno de los parámetros geométricos incluídos en la parametrización, y se ha observado que el diseño de la arista superior a barlovento es fundamental, siendo su influencia mayor que la longitud del testero o que la sección frontal del mismo. Finalmente, se ha considerado un escenario más a fin de validar estos métodos y su capacidad de encontrar un óptimo global. La entrada de un tren de alta velocidad en un túnel es uno de los casos más exigentes para un tren por el pico de sobrepresión generado, el cual afecta a la confortabilidad del pasajero, así como a la estabilidad del vehículo y al entorno próximo a la salida del túnel. Además de este problema, otro objetivo a minimizar es la resistencia aerodinámica, notablemente superior al caso de campo abierto. Este problema se resuelve usando algoritmos genéticos. Dicho método permite obtener un frente de Pareto donde se incluyen el conjunto de óptimos que minimizan ambos objetivos. ABSTRACT Aerodynamic design of trains influences several aspects of high-speed trains performance in a very significant level. In this situation, considering also that new aerodynamic problems have arisen due to the increase of the cruise speed and lightness of the vehicle, it is evident the necessity of proposing an optimization study concerning the train aerodynamics. Thus, the aerodynamic optimization of the nose shape of a high-speed train is presented in this thesis. This optimization is based on advanced optimization methods. Among these methods, genetic algorithms and the adjoint method have been selected. A theoretical description of their bases, the characteristics and the implementation of each method is detailed in this thesis. This introduction permits understanding the causes of their selection, and the advantages and drawbacks of their application. The genetic algorithms requirethe geometrical parameterization of any optimal candidate and the generation of a metamodel or surrogate model that complete the optimization process. These points are addressed with a special attention in the first block of the thesis, focused on the methodology considered in this study. The second block is referred to the use of these methods with the purpose of optimizing the aerodynamic performance of a high-speed train in several scenarios. These scenarios englobe the most representative operating conditions of high-speed trains, and also some of the most exigent train aerodynamic problems: front wind and cross-wind situations in open air, and the entrance of a high-speed train in a tunnel. The genetic algorithms and the adjoint method have been applied in the minimization of the aerodynamic drag on the train with front wind in open air. The comparison of these methods allows to evaluate the methdology and computational cost of each one, as well as the resulting minimization of the aerodynamic drag. Simplicity and robustness, the straightforward realization of a multi-objective optimization, and the capability of searching a global optimum are the main attributes of genetic algorithm. However, the requirement of geometrically parameterize any optimal candidate is a significant drawback that is avoided with the use of the adjoint method. This independence of the number of design variables leads to a relevant reduction of the pre-processing and computational cost. Considering the cross-wind stability, both methods are used again for the minimization of the side force. In this case, a simplification of the geometric parameterization of the train nose is adopted, what dramatically reduces the computational cost of the optimization process. Nevertheless, some of the most important geometrical characteristics are still described with this simplified parameterization. This analysis identifies and quantifies the influence of each design variable on the side force on the train. It is observed that the A-pillar roundness is the most demanding design parameter, with a more important effect than the nose length or the train cross-section area. Finally, a third scenario is considered for the validation of these methods in the aerodynamic optimization of a high-speed train. The entrance of a train in a tunnel is one of the most exigent train aerodynamic problems. The aerodynamic consequences of high-speed trains running in a tunnel are basically resumed in two correlated phenomena, the generation of pressure waves and an increase in aerodynamic drag. This multi-objective optimization problem is solved with genetic algorithms. The result is a Pareto front where a set of optimal solutions that minimize both objectives.

Genetically aerodynamic optimization of the nose shape of a high-speed train entering a tunnel

The optimization of the nose shape of a high-speed train entering a tunnel has been performed using genetic algorithms(GA).This optimization method requires the parameterization of each optimal candidate as a design vector.The geometrical parameterization of the nose has been defined using three design variables that include the most characteristic geometrical factors affecting the compression wave generated at the entry of the train and the aerodynamic drag of the train.

Aerodynamic shape optimization of the nose of a high-speed train subjected to crosswind conditions

When dealing with the design of a high-speed train, a multiobjective shape optimization problem is formulated, as these vehicles are object of many aerodynamic problems which are known to be in conflict. More mobility involves an increase in both the cruise speed and lightness, and these requirements directly influence the stability and the ride comfort of the passengers when the train is subjected to a side wind. Thus, crosswind stability plays a more relevant role among the aerodynamic objectives to be optimized. An extensive research activity is observed on aerodynamic response in crosswind conditions.

Surrogate-based optimization of the nose shape of a train subjected to crosswind

Optimización multi-objetivo frente a varias direcciones del viento incidente del testero de un tren de alta velocidad

Utilización de una nariz electrónica tipo QCM para la evaluación de la calidad aromática en pera y manzana.

The "Libra Nose" electronic nose has eight Quartz Microbalance Sensors. When gas molecules are adsorbed onto the quartz crystal surface, the oscillation frequency changes in proportion to the amount of mass. The response of sensors depends on numerous factors that may be difficult to control, such as the temperature and the humidity of the carrier gas. All these factors cause changes in the selectivity of sensors affecting the reproducibility of measurements. In this paper additive a multiplicative corrections are proposed to be applied to the raw sensors's signal in order to eliminate sources of variations. After these corrections, the sensors' response gives useful information to distinguish between batch of apples and pears with different ripeness stage.

Accurate Parabolic Navier-Stokes solutions of the supersonic flow around and elliptic cone

Flows of relevance to new generation aerospace vehicles exist, which are weakly dependent on the streamwise direction and strongly dependent on the other two spatial directions, such as the flow around the (flattened) nose of the vehicle and the associated elliptic cone model. Exploiting these characteristics, a parabolic integration of the Navier-Stokes equations is more appropriate than solution of the full equations, resulting in the so-called Parabolic Navier-Stokes (PNS). This approach not only is the best candidate, in terms of computational efficiency and accuracy, for the computation of steady base flows with the appointed properties, but also permits performing instability analysis and laminar-turbulent transition studies a-posteriori to the base flow computation. This is to be contrasted with the alternative approach of using order-of-magnitude more expensive spatial Direct Numerical Simulations (DNS) for the description of the transition process. The PNS equations used here have been formulated for an arbitrary coordinate transformation and the spatial discretization is performed using a novel stable high-order finite-difference-based numerical scheme, ensuring the recovery of highly accurate solutions using modest computing resources. For verification purposes, the boundary layer solution around a circular cone at zero angle of attack is compared in the incompressible limit with theoretical profiles. Also, the recovered shock wave angle at supersonic conditions is compared with theoretical predictions in the same circular-base cone geometry. Finally, the entire flow field, including shock position and compressible boundary layer around a 2:1 elliptic cone is recovered at Mach numbers 3 and 4

Multi-objective Aerodynamic Optimization of High-speed Trains in Tunnels

A genetic algorithm (GA) is employed for the multi-objective shape optimization of the nose of a high-speed train. Aerodynamic problems observed at high speeds become still more relevant when traveling along a tunnel. The objective is to minimize both the aerodynamic drag and the amplitude of the pressure gradient of the compression wave when a train enters a tunnel. The main drawback of GA is the large number of evaluations need in the optimization process. Metamodels-based optimization is considered to overcome such problem. As a result, an explicit relationship between pressure gradient and geometrical parameters is obtained.

Respuesta fisiológica y agronómica del olivar en seto (cv. Arbequina) a la orientación de filas y al ancho de calle: relación entre la producción y calidad del aceite y la radiación interceptada

En las últimas dos décadas, los productores han plantado olivares en seto para lograr la mecanización de la poda y en especial de la cosecha, reducir los costes de mano de obra y permitir intervenciones de manejo rápidas y oportunas. Los olivares se desarrollaron en ausencia del conocimiento científico, sobre el diseño óptimo de la estructura de la copa, necesario para incrementar la producción y calidad del aceite. En contraste, con los árboles muy espaciados y distribuidos uniformemente de las plantaciones tradicionales, en el olivar en seto hay una marcada variabilidad espacial y temporal de la radiación disponible en función del diseño de la plantación. Así, conocer la respuesta fisiológica y productiva del olivo a la radiación resulta fundamental en el olivar en seto. La orientación de las filas y el ancho de calle son aspectos que se deciden en el diseño de las plantaciones en seto. Ambos aspectos modifican la radiación interceptada por la canopia y, por lo tanto, pueden incidir en la productividad y calidad del aceite. Una vez realizada la plantación no pueden ser modificados, y así las ventajas o desventajas permanecerán fijas durante toda la vida productiva del olivar. A pesar de esto, el impacto de la orientación de las filas y el ancho de calle han recibido poca atención en olivos y en la mayoría de los frutales conducidos en seto. Por todo ello, los objetivos principales de esta tesis fueron, (i) evaluar el efecto de la orientación del seto y del ancho de calle, sobre la productividad y calidad del aceite, (ii) evaluar un modelo que estime la radiación dentro de la canopia. Este modelo permitirá cuantificar las relaciones entre la radiación y los componentes del rendimiento y calidad del aceite de olivares en setos con un amplio rango de estructuras y (iii) conocer la variabilidad en las características de las hojas (morfológicas y fisiológicas) y de los tejidos del fruto (tamaño y composición) en diferentes posiciones de la copa de los setos. Para ello, se dispuso de 3 ensayos de olivar en seto (cv. Arbequina) implantados en 2008 en el municipio de La Puebla de Montalbán, Toledo. La primera cosecha fue en 2010 y a partir del 2012 los setos formaron una copa continua. A partir de ese año, los setos se mantuvieron mediante poda, con similar ancho (~1 m) y altura (~2,5 m), acordes a las dimensiones de la cosechadora vendimiadora. En los años 2012 y 2013 se estudió en profundidad la respuesta de las plantas de estos ensayos. En el ensayo 1, los setos fueron plantados con cuatro orientaciones de filas: N–S, NE–SO, NO–SE y E–O y el mismo ancho de calle (4 m). En los otros dos ensayos, los setos fueron plantados con tres anchos de calle (5,0, 4,0 y 2,5 m), y con filas orientadas N–S (ensayo 2) y E–O (ensayo 3). La respuesta de la orientación de las filas se evaluó a nivel de seto y de estratos del seto (alturas y caras), a través de mediciones del crecimiento de brotes, componentes reproductivos, características y temperatura del fruto, estado hídrico del suelo y de las plantas, fotosíntesis neta de las hojas y contenido de ácidos grasos. Los setos orientados NE–SO (2,7 t/ha) lograron la mayor producción de aceite, que fue significativamente más alta que la de los setos E–O (2,3 t/ha). La producción de aceite de los setos E–O no se diferenció estadísticamente de los setos N–S (2,5 t/ha). Las diferencias productivas entre orientaciones fueron explicadas por el número de frutos en cosecha, a su vez la variación en el número de frutos estuvo asociada al efecto de la orientación de las filas sobre el número de yemas desarrolladas y el porcentaje de inflorescencias fértiles. Las hojas en las caras iluminadas de los setos NE–SO y N–S presentaron mayor tasa fotosintética a la mañana (~10.0 h) que los setos E–O, en el año 2012, pero no en 2013. La orientación de las filas no tuvo un efecto significativo en el contenido de ácidos grasos de los aceites extraídos, esto ocurrió a pesar de variaciones en la temperatura interna de los frutos (3 °C) y de la radiación (40%) entre las distintas caras de los setos. La orientación del seto afectó significativamente al contenido relativo de agua del suelo, donde setos E–O presentaron valores más altos (12%) que setos N–S durante el verano y otoño. Sin embargo, el potencial hídrico de tallo fue similar entre orientaciones. En los ensayos 2 y 3, se evaluó el efecto que produce, a nivel de seto y de estratos (caras y alturas), reducir el ancho de calle de 5,0 a 4,0 y 2,5 m, en un seto orientado N–S y otro E–O, respectivamente. La relación entre altura/ancho de calle libre aumentó 0,6 a 0,8 y 1,6, al reducir 5,0, 4,0 y 2,5 m el ancho de calle, mientras la longitud de seto y el volumen de copa por hectárea incrementó 100% al reducir de 5,0 a 2,5 m, el ancho de calle. En los setos orientados N–S, la producción de aceite por ha acumulada en 4 campañas, incrementó significativamente un 52 %, al reducir de 5,0 a 2,5 m el ancho de calle. Los setos N–S con calle más estrecha (2,5 m) tuvieron un 19% menos frutos que los setos con calle más ancha (5,0 m) y a su vez el 60% de los mismos se localizaron los estratos altos de la canopia de los setos con calles estrecha en comparación al 40% en setos con calle de 5,0 m. En los estratos más bajos de los setos con calles de 2,5m hubo menor crecimiento de los brotes y los frutos tuvieron menor peso seco, contenido de aceite y madurez, que los frutos en los estratos bajos de los setos a 5,0 m. Los componentes del rendimiento y características de los frutos (agua y madurez) fueron similares entre la caras E y O, independientemente del ancho de calle. En los setos orientados E–O, la producción de aceite por ha acumulada en 4 campañas, no respondió significativamente al ancho de calle, debido a una disminución significativa en el número de frutos y producción de aceite por m de seto, al reducir de 5,0 a 2,5 m, el ancho de calle. En los setos orientados E–O, con calles de 5,0 m, los frutos presentaron similar peso seco, contenido de aceite y agua, en las caras S y N, sin embargo, cuando la calle fue reducida a 2,5, los frutos de la cara S fueron más pesado y maduros que en la cara N. Independientemente del ancho de calle y de la orientación del seto, el aceite presentó mayor contenido de ácidos palmitoleico, palmítico, esteárico y linoleico en los frutos del estrato más alto de la canopia disminuyendo hacia la base. En contraste, el contenido de ácido oleico aumentó desde el estrato más alto hacia la base de los setos. Las diferencias en el contenido de ácidos grasos entre la parte alta y baja de los setos, incrementó al reducir el ancho de calle en los setos N–S, pero no en los E-O. En conclusión, en olivares en seto, reducir el ancho de calle permite incrementar la producción de aceite, en setos orientados N–S, pero no en E–O. Un modelo que estima la cantidad y distribución de la radiación en toda la copa del seto, fue utilizado para estimar la radiación interceptada en distintos estratos del seto. El modelo requiere un valor del coeficiente de extinción (k) para estimar la transmisión de radiación a través de la copa, el cual fue obtenido experimentalmente (k=1,2). Utilizando los datos del ensayo 1, un único modelo lineal relacionó el peso seco y el rendimiento graso de setos con la radiación interceptada por los distintos estratos de setos con cuatro orientaciones de filas. La densidad de frutos fue también relacionada con la radiación, pero más débilmente. En los setos orientados N–S, plantados con tres anchos de calles, (ensayo 2) el contenido de ácidos palmitoleico y linoleico del aceite incrementó linealmente con el incremento de la radiación interceptada, mientras el contenido ácido oleico disminuyó linealmente con el incremento de la radiación. El contenido de ácidos grasos del aceite no estuvo relacionado con la radiación interceptada en setos orientados E–O (Ensayo 3). En los setos N–S y E–O, plantados con anchos de calle de 2,5 m, se estudiaron las interacciones entre la radiación y características de las hojas, número de fruto, tamaño y composición de los frutos a nivel de órgano, tejido y células. Independientemente de la orientación del seto, el área y el contenido de clorofila de las hojas incrementaron significativamente en los estratos más bajos de los setos. Mientras, las hojas de los estratos medios del seto presentaron mayor capacidad fotosintética que en los estratos bajos y alto de los setos. Los estratos del seto que interceptaron más radiación produjeron frutos con mayor tamaño y contenido de aceite en el mesocarpo, sin efectos sobre el tamaño y composición del endocarpo. A nivel celular, los frutos expuestos a mayor nivel de radiación desarrollaron en el mesocarpo células de mayor tamaño en comparación a frutos menos expuestos, mientras el número de células no fue afectado. Adicionalmente, el número y tamaño de las células estuvo relacionado con la composición del mesocarpo en términos de aceite, agua y peso seco menos aceite. Esta tesis, contribuye, desde una perspectiva integral del cultivo del olivo, a cuantificar el impacto de la orientación y ancho de calle sobre la producción y calidad del aceite en olivares conducidos en setos. El análisis y discusión de la relación entre la radiación y los componentes del rendimiento y calidad del aceite, puede ayudar a diseñar plantaciones en seto con dimensiones óptimas para la intercepción de la radiación. ABSTRACT In the last two decades, olive hedgerow system has been established by commercial growers to allow continuous mechanized pruning and especially harvest, reduce costs of manual labour and allow more rapid and timely management interventions. The adoption of hedgerow was done in the absence of adequate scientific knowledge of the impact of this orchard structure and associated mechanization on tree response, yield and quality, after centuries in low-density orchards and open-formed trees. The row orientation and width alley are fundamental aspects in the hedgerow design and have been scarcely studied in olive. Both aspects modify the radiation intercepted by the canopy, and consequently the productivity and oil quality, and once defined in orchard planting cannot be changed, so advantages and disadvantages remain fixed for the lifespan of the orchard. The main objectives of this thesis were to (i) evaluate the impact of the row orientation and width alley on productivity and oil quality by the measurements of profile of the determining processes of shoot growth, fruit temperature, yield components and fruit and oil characteristics on opposite sides of olive hedgerows. Additionally, the effect of row orientation on the plant water status was also evaluated; (ii) evaluate a mathematical model for estimating the radiation within the canopy and quantify the relationships between the radiation estimated and yield components and oil quality in olive hedgerows under wide range of structures and; (iii) determine the variability in the characteristics of the leaves (morphological and physiological) and fruit tissues (size and composition) in different positions of the hedgerows canopy. Three plots of olive hedgerows (cv. Arbequina) planted in 2008 in La Puebla de Montalbán, Toledo were evaluated during the 2012 and 2013 seasons. The hedgerows were maintained by lateral pruning and topping with the same width (1 m) and height (2.5 m) compatible with the intended harvester. In a plot (experiment 1), the hedgerows were planted with the same width alley (4 m) and four row orientations: N–S, NE–SW, NW–SE and E–W. Other two plots (Experiments 2 and 3) separated by approximately 100 m were planted with N–S and E–O oriented rows and three alley widths in each orientation: 5.0, 4.0 and 2.5 m. In the exp. 1, maximum fruit yield were achieved by NE–SW and NW–SW (15.7 t/ha). Of these, NE–SW achieved the highest oil yield (2.7 t/ha). There were no differences in fruit or oil yield between N–S (2.5 t oil/ha) and E–W (2.3 t oil/ha) orientations. Fruit number was the most important component to explain these differences, by previous influence on number of bud developed and percentage of fertile inflorescences. Fruit maturity and oil quality on both sides of the hedgerows were not affected by row orientation. This occurred despite significant variations in the internal fruit temperature, which was closely related to the irradiance received by the canopy and the time of day. Additionally, row orientation significantly affected the relative water content of the soil, where E–W oriented hedgerows showed consistently higher values than N–S during summer-autumn season. The stem water potential at midday, however, was similar between orientations, revealing possible lower water consumption of E–W than N–S oriented hedgerows. In the exp. 2, regardless of row orientation, reduction of row spacing from 5.0 to 4.0 and 2.5 m increases the ratio of canopy depth to free alley width (Al/An) from 0.6 to 0.8 and 1.6, respectively, and ads 25 and 100 % more hedgerow length per ha. In N–S oriented hedgerows, oil production per ha increased significantly by 14 and 52 % in 4.0 m and 2.5 m relative to 5.0 m row spacing, the effect being proportionally less than the increase in hedgerow length per ha. Hedgerows spaced 2.5 m with Al/An = 1.6 produced relatively fewer fruits per unit length than did wider spacings and were preferentially distributed in upper layers. Fruits located at the bottom of the canopy were smaller, with lower oil content and were less mature. In E–W oriented hedgerows, oil production per ha did not respond significantly to row spacing, despite the doubling of row length from the 5.0 to the 2.5 m row spacing. The explanation was found in fewer fruit per unit length of hedgerow and smaller oil content at 2.5 m than 5.0 m row spacing, averaged over the experimental period. In E–W hedgerows spaced at 5.0 m with Al/An = 0.6, the vertical profiles of fruit characteristics (mass, oil and water contents, and maturity) were similar between opposing sides, but at 4.0 m (Al/An= 0.8) and 2.5 m (Al/An=1.6) spacings, fruits on the S side were heavier and more mature than on N side. The oil extracted from fruits harvested at different heights of N–S and E–W oriented hedgerows showed higher palmitoleic, palmitic, stearic and linoleic contents at the canopy top decreasing toward base. The oleic content was reverse, increased from top to base. In N–S hedgerows, vertical gradients increased by reducing the alley width, but not in the E–W oriented hedgerows. The simulation of internal canopy irradiance was related in a single relationship (R2 = 0.63) to the vertical profiles of fruit weight and oil content of olive hedgerows with wide range of structures. The density of fruits was also associated with the irradiance but more weakly (R2 = 0.27), and revealed a more complex response involving changes in the vegetative structure by canopy management (topping) and the effect of radiation on the previous sequence that defines the number of fruits. The vertical profiles of oil quality traits were closely associated to canopy irradiance, but only when the N–S oriented hedgerows were considered. The contents of palmitoleic and linoleic acid in the oil increased linearly when intercepted irradiance increased from 9 to 19 mol PAR/m2. In contrast, oleic content decreased linearly in this irradiance range. Additionally, we advanced knowledge regarding the interactions among irradiance and leaf, fruit number, size and composition at organ-, tissue- and cellular- levels. The irradiance received at different positions in the canopy strongly affected the leaf area and chlorophyll content, and mesocarp size and composition (water and oil), without effects on endocarp size and composition. At the cellular level, light-exposed fruit developed larger mesocarp cells than shaded fruits, but cell number was not affected. Our results indicate that cell number and size are related to mesocarp composition in term of oil, water, and dry weight menus oil, although the specific manner in which they interact remains to be determined. This research contributes from an integral perspective of olive growing to quantify the impact of row orientation and width alley on productivity and oil quality in hedgerows systems. The analysis and discussion of the relationships between radiation and yield components and oil quality can help understand the impact of design olive hedgerows in general and in a wide range of environmental conditions.

Aerodynamic Optimization of a High-speed Train using Genetic Algorithms

Genetic algorithms (GA) have been used for the minimization of the aerodynamic drag of a train subject to front wind. The significant importance of the external aerodynamic drag on the total resistance a train experiments as the cruise speed is increased highlights the interest of this study. A complete description of the methodology required for this optimization method is introduced here, where the parameterization of the geometry to be optimized and the metamodel used to speed up the optimization process are detailed. A reduction of about a 25% of the initial aerodynamic drag is obtained in this study, what confirms GA as a proper method for this optimization problem. The evolution of the nose shape is consistent with the literature. The advantage of using metamodels is stressed thanks to the information of the whole design space extracted from it. The influence of each design variable on the objective function is analyzed by means of an ANOVA test.

Análisis de imágenes del rostro humano

El objetivo general de este trabajo es el correcto funcionamiento de un sistema de reconocimiento facial compuesto de varios módulos, implementados en distintos lenguajes. Uno de dichos módulos está escrito en Python y se encargarí de determinar el género del rostro o rostros que aparecen en una imagen o en un fotograma de una secuencia de vídeo. El otro módulo, escrito en C++, llevará a cabo el reconocimiento de cada una de las partes de la cara (ojos, nariz, boca) y la orientación hacia la que está posicionada (derecha, izquierda). La primera parte de esta memoria corresponde a la reimplementación de todas las partes de un analizador facial, que constituyen el primer módulo antes mencionado. Estas partes son un analizador, compuesto a su vez por un reconocedor (Tracker) y un procesador (Processor), y una clase visor para poder visualizar los resultados. Por un lado, el reconocedor o "Tracker.es el encargado de encontrar la cara y sus partes, que serán pasadas al procesador o Processor, que analizará la cara obtenida por el reconocedor y determinará su género. Este módulo estaba dise~nado completamente en C y OpenCV 1.0, y ha sido reescrito en Python y OpenCV 2.4. Y en la segunda parte, se explica cómo realizar la comunicación entre el primer módulo escrito en Python y el segundo escrito en C++. Además, se analizarán diferentes herramientas para poder ejecutar código C++ desde programas Python. Dichas herramientas son PyBindGen, Cython y Boost. Dependiendo de las necesidades del programador se contará cuál de ellas es más conveniente utilizar en cada caso. Por último, en el apartado de resultados se puede observar el funcionamiento del sistema con la integración de los dos módulos, y cómo se muestran por pantalla los puntos de interés, el género y la orientación del rostro utilizando imágenes tomadas con una cámara web.---ABSTRACT---The main objective of this document is the proper functioning of a facial recognition system composed of two modules, implemented in diferent languages. One of these modules is written in Python, and his purpose is determining the gender of the face or faces in an image or a frame of a video sequence. The other module is written in C ++ and it will perform the recognition of each of the parts of the face (eyes, nose , mouth), and the head pose (right, left).The first part of this document corresponds to the reimplementacion of all components of a facial analyzer , which constitute the first module that I mentioned before. These parts are an analyzer , composed by a tracke) and a processor, and a viewer to display the results. The tracker function is to find and its parts, which will be passed to the processor, which will analyze the face obtained by the tracker. The processor will determine the face's gender. This module was completely written in C and OpenCV 1.0, and it has been rewritten in Python and OpenCV 2.4. And in the second part, it explains how to comunicate two modules, one of them written in Python and the other one written in C++. Furthermore, it talks about some tools to execute C++ code from Python scripts. The tools are PyBindGen, Cython and Boost. It will tell which one of those tools is better to use depend on the situation. Finally, in the results section it is possible to see how the system works with the integration of the two modules, and how the points of interest, the gender an the head pose are displayed on the screen using images taken from a webcam.

Launching the Vicario Viaduct: Andalucia, Spain

The Vicario Viaduct is located in the A-44 motorway, in the South-East part of Spain. It crosses a natural gorge, near the town of Ízbor in the province of Granada. A single continuous steel concrete composite deck, 24 m wide and 175 m long, divided in two 87,5 m spans, has been built. The cross section is a single structural steel box, 8,00 m wide and 4,52 m deep. The total width of 24 m is reached adding a strut and tie system each 4,375 m on both sides of the box. The steel parts of the deck were entirely constructed in the workshop and then they were erected on site just behind one of the abutments. Finally a 27.5 m long steel nose was connected to launch the deck. The main problems have been the curved shape of the deck (1420 m radius in plan) producing a non symmetric transverse distribution of reactions on each support and the cantilever reaching 87,5 m long, producing a maximum deflection of 1500 mm

Flow around a hemisphere-cylinder at high angle of attack and low Reynolds number. Part II: POD and DMD applied to reduced domains

Three-dimensional direct numerical simulations (DNS) have been performed on a finite-size hemispherecylinder model at angle of attack AoA = 20◦ and Reynolds numbers Re = 350 and 1000. Under these conditions, massive separation exists on the nose and lee-side of the cylinder, and at both Reynolds numbers the flow is found to be unsteady. Proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) are employed in order to study the primary instability that triggers unsteadiness at Re = 350. The dominant coherent flow structures identified at the lower Reynolds number are also found to exist at Re = 1000; the question is then posed whether the flow oscillations and structures found at the two Reynolds numbers are related. POD and DMD computations are performed using different subdomains of the DNS computational domain. Besides reducing the computational cost of the analyses, this also permits to isolate spatially localized oscillatory structures from other, more energetic structures present in the flow. It is found that POD and DMD are in general sensitive to domain truncation and noneducated choices of the subdomain may lead to inconsistent results. Analyses at Re = 350 show that the primary instability is related to the counter rotating vortex pair conforming the three-dimensional afterbody wake, and characterized by the frequency St ≈ 0.11, in line with results in the literature. At Re = 1000, vortex-shedding is present in the wake with an associated broadband spectrum centered around the same frequency. The horn/leeward vortices at the cylinder lee-side, upstream of the cylinder base, also present finite amplitude oscillations at the higher Reynolds number. The spatial structure of these oscillations, described by the POD modes, is easily differentiated from that of the wake oscillations. Additionally, the frequency spectra associated with the lee-side vortices presents well defined peaks, corresponding to St ≈ 0.11 and its few harmonics, as opposed to the broadband spectrum found at the wake.