Knowledge-based models for adaptive traffic management systems

This paper describes a general approach for real time traffic management support using knowledge based models. Recognizing that human intervention is usually required to apply the current automatic traffic control systems, it is argued that there is a need for an additional intelligent layer to help operators to understand traffic problems and to make the best choice of strategic control actions that modify the assumption framework of the existing systems.

Flammability conditions for ultra-lean hydrogen premixed combustion based on flame-ball analyses

It has been reasoned that the structures of strongly cellular flames in very lean mixtures approach an array of flame balls, each burning as if it were isolated, thereby indicating a connection between the critical conditions required for existence of steady flame balls and those necessary for occurrence of self-sustained premixed combustion. This is the starting assumption of the present study, in which structures of near-limit steady sphericosym-metrical flame balls are investigated with the objective of providing analytic expressions for critical combustion conditions in ultra-lean hydrogen-oxygen mixtures diluted with N2 and water vapor. If attention were restricted to planar premixed flames, then the lean-limit mole fraction of H2 would be found to be roughly ten percent, more than twice the observed flammability limits, thereby emphasizing the relevance of the flame-ball phenomena. Numerical integrations using detailed models for chemistry and radiation show that a onestep chemical-kinetic reduced mechanism based on steady-state assumptions for all chemical intermediates, together with a simple, optically thin approximation for water-vapor radiation, can be used to compute near-limit fuel-lean flame balls with excellent accuracy. The previously developed one-step reaction rate includes a crossover temperature that determines in the first approximation a chemical-kinetic lean limit below which combustión cannot occur, with critical conditions achieved when the diffusion-controlled radiation-free peak temperature, computed with account taken of hydrogen Soret diffusion, is equal to the crossover temperature. First-order corrections are found by activation-energy asymptotics in a solution that involves a near-field radiation-free zone surrounding a spherical flame sheet, together with a far-field radiation-conduction balance for the temperature profile. Different scalings are found depending on whether or not the surrounding atmosphere contains wáter vapor, leading to different analytic expressions for the critical conditions for flame-ball existence, which give results in very good agreement with those obtained by detailed numerical computations.

Global research alliance modelling platform (GRAMP): an open web platform for modelling greenhouse gas emissions from agro-ecosystems

Carbon (C) and nitrogen (N) process-based models are important tools for estimating and reporting greenhouse gas emissions and changes in soil C stocks. There is a need for continuous evaluation, development and adaptation of these models to improve scientific understanding, national inventories and assessment of mitigation options across the world. To date, much of the information needed to describe different processes like transpiration, photosynthesis, plant growth and maintenance, above and below ground carbon dynamics, decomposition and nitrogen mineralization. In ecosystem models remains inaccessible to the wider community, being stored within model computer source code, or held internally by modelling teams. Here we describe the Global Research Alliance Modelling Platform (GRAMP), a web-based modelling platform to link researchers with appropriate datasets, models and training material. It will provide access to model source code and an interactive platform for researchers to form a consensus on existing methods, and to synthesize new ideas, which will help to advance progress in this area. The platform will eventually support a variety of models, but to trial the platform and test the architecture and functionality, it was piloted with variants of the DNDC model. The intention is to form a worldwide collaborative network (a virtual laboratory) via an interactive website with access to models and best practice guidelines; appropriate datasets for testing, calibrating and evaluating models; on-line tutorials and links to modelling and data provider research groups, and their associated publications. A graphical user interface has been designed to view the model development tree and access all of the above functions.

Paisajes de la sal en Andalucía

Los paisajes protagonistas de esta investigación han sido creados gracias a la actividad de las salinas, explotaciones “donde se beneficia la sal de las aguas del mar o de ciertos manantiales, cuando se ha evaporado el agua.” (RAE). Son lugares de características únicas, tanto por sus valores naturales y medioambientales, como por los valores culturales, patrimoniales, históricos, sociales e identitarios, “resultado de la acción e interacción de factores naturales y humanos en el territorio” (CEP, 2000). Existen salinas en muchos lugares del mundo, pero es en la Península Ibérica donde se encuentra la mayor concentración de estas explotaciones en toda Europa y, por consiguiente, de los singulares paisajes asociados y generados por ellas. Es también la única región europea donde existen salinas de interior que utilizan métodos de evaporación para la obtención de sal: las energías y circunstancias naturales aprovechadas en ellas, sol, viento, gravedad y humedad relativa, propician la evaporación del agua salada, una de las estrategias fundamentales para su funcionamiento. Esta circunstancia determina su posición geográfica en el territorio y su dependencia de los ciclos climáticos estacionales, del régimen hidrológico, la estructura geológica del subsuelo, la geomorfología y la acción humana para potenciar la eficiencia de los procesos productivos, creando para ello un extenso e interesante patrimonio natural y cultural en torno a ellas. Por tanto, son también paisajes culturales, resultado de un proceso artesanal de producción y comercialización de la sal, que se articula a través de la construcción de una serie de instalaciones preindustriales diseminadas y conectadas en puntos estratégicos del territorio costero e interior. La presente tesis aborda la grave situación a la que se enfrentan en la actualidad los paisajes ibéricos de la sal, concretamente los ubicados en la Comunidad Autónoma de Andalucía, que están sufriendo un ávido proceso de abandono y desaparición desde mediados del s. XX, con la consiguiente pérdida para la sociedad de este valioso patrimonio cultural y natural, que se ha ido construyendo durante siglos, prácticamente desde el inicio de la humanidad. De las diversas tipologías de salinas que existen, se han seleccionado las explotaciones, tanto marítimas como de interior, que utilizan o han utilizado en su origen técnicas de explotación artesanal basadas en la evaporación. El interés de esta acotación tipológica se ha basado en las relaciones de dependencia que estas explotaciones de sal establecen con el entorno físico y climático donde se ubican para poder existir y funcionar. El objetivo principal de esta investigación ha perseguido el establecimiento y definición de un marco territorial, global e integrador, para los paisajes culturales salineros andaluces, a través de la observación directa realizada durante el trabajo de campo, el análisis de textos, imágenes, documentos, gráficos, palabras y entrevistas abiertas. Lo anterior ha permitido identificar, clasificar, analizar y valorar sus principales características y su evolución en el tiempo, identificando las causas del deterioro y desaparición del patrimonio salinero, evaluando la efectividad de las iniciativas, públicas y/o privadas, y de las figuras de protección, así como analizar las relaciones que establecen con su entorno próximo, con los núcleos de población y habitantes a los que sirven, la red de carreteas y caminos que las conectan y los ríos y mares que las proveen de materia prima. Finalmente, se ha establecido una sistemática integral de análisis, con el fin de poder actuar, a partir del conocimiento, a favor de la gestión, salvaguarda y pervivencia de los excepcionales valores culturales y naturales, que definen el carácter e identidad de estos singulares paisajes. ----------------------ABSTRACT----------------- The landscapes of this research have been created by the activity of saltworks, sites “where salt from sea water or certain springs is obtained, when water evaporates.” (RAE). They are places with unique characteristics, because of their natural and environmental values, as well as their cultural, historic and social values, their heritage and identity, “the result of the action and interaction of natural and human factors on the territory” (European Landscape Convention, 2000). There are many saltworks in many places around the world, but it is in the Iberian Peninsula where we find the highest concentration of salt industries within Europe and, therefore, the particular landscapes associated and created by them. It is as well the only European region where we can find inland saltworks with evaporation methods to obtain salt: the energies and natural circumstances used in them are sun, wind, gravity and relative humidity, favouring salt water evaporation, one of the main strategies of their functioning. This circumstance determines their geographic position in the territory and its dependence on seasonal climatic cycles, hydrological regimes, geological subsoil structure, geomorphology and human action to strengthen productive processes efficiency, creating an extensive and interesting natural and cultural heritage around them. Therefore, they are also cultural landscapes, result of a traditional salt production process and marketing, organized through the construction of certain preindustrial buildings scattered and connected in strategic inland and seaside spots. This thesis deals with the plight today’s salt landscapes are facing, particularly those within the Andalucian Region, since the middle of the 20th century undergoing an avid process of abandonment and disappearance, meaning a great loss for society of a cultural and natural heritage constructed along centuries, almost since the beginning of mankind. Among the diverse typologies of saltworks, the selection made consists on those inland and seaside ones, which use or have originally used traditional production techniques based on evaporation. The interest in this particular saltwork typology is based on the dependency relationships these industries establish with the environment and climate where they are located, in order to be able to exist and function. The main goal of this research has pursued to establish and define a global and inclusive territorial framework for Andalucian cultural saltworks landscapes, through direct observation carried out during fieldwork, analysis of texts, images, documents, graphs, words and open interviews. All of it has allowed to identify, classify, analyze and evaluate their main characteristics and evolution over time, identifying the causes of deterioration and disappearance of the saltworks heritage, assessing the effectiveness of public and private initiatives, and protection projects, as well as analyzing the relationships with their surroundings, population centers and residents they serve, road networks connecting them and rivers and seas supplying the raw material. Finally, a comprehensive analysis systematic has been established, in order to be able to take action, with knowledge as starting point, for the management, preservation and survival of the unique cultural and natural values that define the character and identity of these singular landscapes.

Paisajes de la sal en Andalucía

Los paisajes protagonistas de esta investigación han sido creados gracias a la actividad de las salinas, explotaciones “donde se beneficia la sal de las aguas del mar o de ciertos manantiales, cuando se ha evaporado el agua.” (RAE). Son lugares de características únicas, tanto por sus valores naturales y medioambientales, como por los valores culturales, patrimoniales, históricos, sociales e identitarios, “resultado de la acción e interacción de factores naturales y humanos en el territorio” (CEP, 2000). Existen salinas en muchos lugares del mundo, pero es en la Península Ibérica donde se encuentra la mayor concentración de estas explotaciones en toda Europa y, por consiguiente, de los singulares paisajes asociados y generados por ellas. Es también la única región europea donde existen salinas de interior que utilizan métodos de evaporación para la obtención de sal: las energías y circunstancias naturales aprovechadas en ellas, sol, viento, gravedad y humedad relativa, propician la evaporación del agua salada, una de las estrategias fundamentales para su funcionamiento. Esta circunstancia determina su posición geográfica en el territorio y su dependencia de los ciclos climáticos estacionales, del régimen hidrológico, la estructura geológica del subsuelo, la geomorfología y la acción humana para potenciar la eficiencia de los procesos productivos, creando para ello un extenso e interesante patrimonio natural y cultural en torno a ellas. Por tanto, son también paisajes culturales, resultado de un proceso artesanal de producción y comercialización de la sal, que se articula a través de la construcción de una serie de instalaciones preindustriales diseminadas y conectadas en puntos estratégicos del territorio costero e interior. La presente tesis aborda la grave situación a la que se enfrentan en la actualidad los paisajes ibéricos de la sal, concretamente los ubicados en la Comunidad Autónoma de Andalucía, que están sufriendo un ávido proceso de abandono y desaparición desde mediados del s. XX, con la consiguiente pérdida para la sociedad de este valioso patrimonio cultural y natural, que se ha ido construyendo durante siglos, prácticamente desde el inicio de la humanidad. De las diversas tipologías de salinas que existen, se han seleccionado las explotaciones, tanto marítimas como de interior, que utilizan o han utilizado en su origen técnicas de explotación artesanal basadas en la evaporación. El interés de esta acotación tipológica se ha basado en las relaciones de dependencia que estas explotaciones de sal establecen con el entorno físico y climático donde se ubican para poder existir y funcionar. El objetivo principal de esta investigación ha perseguido el establecimiento y definición de un marco territorial, global e integrador, para los paisajes culturales salineros andaluces, a través de la observación directa realizada durante el trabajo de campo, el análisis de textos, imágenes, documentos, gráficos, palabras y entrevistas abiertas. Lo anterior ha permitido identificar, clasificar, analizar y valorar sus principales características y su evolución en el tiempo, identificando las causas del deterioro y desaparición del patrimonio salinero, evaluando la efectividad de las iniciativas, públicas y/o privadas, y de las figuras de protección, así como analizar las relaciones que establecen con su entorno próximo, con los núcleos de población y habitantes a los que sirven, la red de carreteas y caminos que las conectan y los ríos y mares que las proveen de materia prima. Finalmente, se ha establecido una sistemática integral de análisis, con el fin de poder actuar, a partir del conocimiento, a favor de la gestión, salvaguarda y pervivencia de los excepcionales valores culturales y naturales, que definen el carácter e identidad de estos singulares paisajes. ----------------------ABSTRACT----------------- The landscapes of this research have been created by the activity of saltworks, sites “where salt from sea water or certain springs is obtained, when water evaporates.” (RAE). They are places with unique characteristics, because of their natural and environmental values, as well as their cultural, historic and social values, their heritage and identity, “the result of the action and interaction of natural and human factors on the territory” (European Landscape Convention, 2000). There are many saltworks in many places around the world, but it is in the Iberian Peninsula where we find the highest concentration of salt industries within Europe and, therefore, the particular landscapes associated and created by them. It is as well the only European region where we can find inland saltworks with evaporation methods to obtain salt: the energies and natural circumstances used in them are sun, wind, gravity and relative humidity, favouring salt water evaporation, one of the main strategies of their functioning. This circumstance determines their geographic position in the territory and its dependence on seasonal climatic cycles, hydrological regimes, geological subsoil structure, geomorphology and human action to strengthen productive processes efficiency, creating an extensive and interesting natural and cultural heritage around them. Therefore, they are also cultural landscapes, result of a traditional salt production process and marketing, organized through the construction of certain preindustrial buildings scattered and connected in strategic inland and seaside spots. This thesis deals with the plight today’s salt landscapes are facing, particularly those within the Andalucian Region, since the middle of the 20th century undergoing an avid process of abandonment and disappearance, meaning a great loss for society of a cultural and natural heritage constructed along centuries, almost since the beginning of mankind. Among the diverse typologies of saltworks, the selection made consists on those inland and seaside ones, which use or have originally used traditional production techniques based on evaporation. The interest in this particular saltwork typology is based on the dependency relationships these industries establish with the environment and climate where they are located, in order to be able to exist and function. The main goal of this research has pursued to establish and define a global and inclusive territorial framework for Andalucian cultural saltworks landscapes, through direct observation carried out during fieldwork, analysis of texts, images, documents, graphs, words and open interviews. All of it has allowed to identify, classify, analyze and evaluate their main characteristics and evolution over time, identifying the causes of deterioration and disappearance of the saltworks heritage, assessing the effectiveness of public and private initiatives, and protection projects, as well as analyzing the relationships with their surroundings, population centers and residents they serve, road networks connecting them and rivers and seas supplying the raw material. Finally, a comprehensive analysis systematic has been established, in order to be able to take action, with knowledge as starting point, for the management, preservation and survival of the unique cultural and natural values that define the character and identity of these singular landscapes.

On nonlinearity in neural encoding models applied to the primary visual cortex

Within the regression framework, we show how different levels of nonlinearity influence the instantaneous firing rate prediction of single neurons. Nonlinearity can be achieved in several ways. In particular, we can enrich the predictor set with basis expansions of the input variables (enlarging the number of inputs) or train a simple but different model for each area of the data domain. Spline-based models are popular within the first category. Kernel smoothing methods fall into the second category. Whereas the first choice is useful for globally characterizing complex functions, the second is very handy for temporal data and is able to include inner-state subject variations. Also, interactions among stimuli are considered. We compare state-of-the-art firing rate prediction methods with some more sophisticated spline-based nonlinear methods: multivariate adaptive regression splines and sparse additive models. We also study the impact of kernel smoothing. Finally, we explore the combination of various local models in an incremental learning procedure. Our goal is to demonstrate that appropriate nonlinearity treatment can greatly improve the results. We test our hypothesis on both synthetic data and real neuronal recordings in cat primary visual cortex, giving a plausible explanation of the results from a biological perspective.

Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors

We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images.

Statistical models for short-term wind power ramp forecasting

La predicción de energía eólica ha desempeñado en la última década un papel fundamental en el aprovechamiento de este recurso renovable, ya que permite reducir el impacto que tiene la naturaleza fluctuante del viento en la actividad de diversos agentes implicados en su integración, tales como el operador del sistema o los agentes del mercado eléctrico. Los altos niveles de penetración eólica alcanzados recientemente por algunos países han puesto de manifiesto la necesidad de mejorar las predicciones durante eventos en los que se experimenta una variación importante de la potencia generada por un parque o un conjunto de ellos en un tiempo relativamente corto (del orden de unas pocas horas). Estos eventos, conocidos como rampas, no tienen una única causa, ya que pueden estar motivados por procesos meteorológicos que se dan en muy diferentes escalas espacio-temporales, desde el paso de grandes frentes en la macroescala a procesos convectivos locales como tormentas. Además, el propio proceso de conversión del viento en energía eléctrica juega un papel relevante en la ocurrencia de rampas debido, entre otros factores, a la relación no lineal que impone la curva de potencia del aerogenerador, la desalineación de la máquina con respecto al viento y la interacción aerodinámica entre aerogeneradores. En este trabajo se aborda la aplicación de modelos estadísticos a la predicción de rampas a muy corto plazo. Además, se investiga la relación de este tipo de eventos con procesos atmosféricos en la macroescala. Los modelos se emplean para generar predicciones de punto a partir del modelado estocástico de una serie temporal de potencia generada por un parque eólico. Los horizontes de predicción considerados van de una a seis horas. Como primer paso, se ha elaborado una metodología para caracterizar rampas en series temporales. La denominada función-rampa está basada en la transformada wavelet y proporciona un índice en cada paso temporal. Este índice caracteriza la intensidad de rampa en base a los gradientes de potencia experimentados en un rango determinado de escalas temporales. Se han implementado tres tipos de modelos predictivos de cara a evaluar el papel que juega la complejidad de un modelo en su desempeño: modelos lineales autorregresivos (AR), modelos de coeficientes variables (VCMs) y modelos basado en redes neuronales (ANNs). Los modelos se han entrenado en base a la minimización del error cuadrático medio y la configuración de cada uno de ellos se ha determinado mediante validación cruzada. De cara a analizar la contribución del estado macroescalar de la atmósfera en la predicción de rampas, se ha propuesto una metodología que permite extraer, a partir de las salidas de modelos meteorológicos, información relevante para explicar la ocurrencia de estos eventos. La metodología se basa en el análisis de componentes principales (PCA) para la síntesis de la datos de la atmósfera y en el uso de la información mutua (MI) para estimar la dependencia no lineal entre dos señales. Esta metodología se ha aplicado a datos de reanálisis generados con un modelo de circulación general (GCM) de cara a generar variables exógenas que posteriormente se han introducido en los modelos predictivos. Los casos de estudio considerados corresponden a dos parques eólicos ubicados en España. Los resultados muestran que el modelado de la serie de potencias permitió una mejora notable con respecto al modelo predictivo de referencia (la persistencia) y que al añadir información de la macroescala se obtuvieron mejoras adicionales del mismo orden. Estas mejoras resultaron mayores para el caso de rampas de bajada. Los resultados también indican distintos grados de conexión entre la macroescala y la ocurrencia de rampas en los dos parques considerados. Abstract One of the main drawbacks of wind energy is that it exhibits intermittent generation greatly depending on environmental conditions. Wind power forecasting has proven to be an effective tool for facilitating wind power integration from both the technical and the economical perspective. Indeed, system operators and energy traders benefit from the use of forecasting techniques, because the reduction of the inherent uncertainty of wind power allows them the adoption of optimal decisions. Wind power integration imposes new challenges as higher wind penetration levels are attained. Wind power ramp forecasting is an example of such a recent topic of interest. The term ramp makes reference to a large and rapid variation (1-4 hours) observed in the wind power output of a wind farm or portfolio. Ramp events can be motivated by a broad number of meteorological processes that occur at different time/spatial scales, from the passage of large-scale frontal systems to local processes such as thunderstorms and thermally-driven flows. Ramp events may also be conditioned by features related to the wind-to-power conversion process, such as yaw misalignment, the wind turbine shut-down and the aerodynamic interaction between wind turbines of a wind farm (wake effect). This work is devoted to wind power ramp forecasting, with special focus on the connection between the global scale and ramp events observed at the wind farm level. The framework of this study is the point-forecasting approach. Time series based models were implemented for very short-term prediction, this being characterised by prediction horizons up to six hours ahead. As a first step, a methodology to characterise ramps within a wind power time series was proposed. The so-called ramp function is based on the wavelet transform and it provides a continuous index related to the ramp intensity at each time step. The underlying idea is that ramps are characterised by high power output gradients evaluated under different time scales. A number of state-of-the-art time series based models were considered, namely linear autoregressive (AR) models, varying-coefficient models (VCMs) and artificial neural networks (ANNs). This allowed us to gain insights into how the complexity of the model contributes to the accuracy of the wind power time series modelling. The models were trained in base of a mean squared error criterion and the final set-up of each model was determined through cross-validation techniques. In order to investigate the contribution of the global scale into wind power ramp forecasting, a methodological proposal to identify features in atmospheric raw data that are relevant for explaining wind power ramp events was presented. The proposed methodology is based on two techniques: principal component analysis (PCA) for atmospheric data compression and mutual information (MI) for assessing non-linear dependence between variables. The methodology was applied to reanalysis data generated with a general circulation model (GCM). This allowed for the elaboration of explanatory variables meaningful for ramp forecasting that were utilized as exogenous variables by the forecasting models. The study covered two wind farms located in Spain. All the models outperformed the reference model (the persistence) during both ramp and non-ramp situations. Adding atmospheric information had a noticeable impact on the forecasting performance, specially during ramp-down events. Results also suggested different levels of connection between the ramp occurrence at the wind farm level and the global scale.

Teaching based on the case method of building collective protection

One of the fundamental aspects in the adaptation of the teaching to the European higher education is changing based models of teacher education to models based on student learning. In this work we present an educational experience developed with the teaching method based on the case method, with a clearly multidisciplinary. The experience has been developed in the teaching of analysis and verification of safety rails. This is a multidisciplinary field that presents great difficulties during their teaching. The use of the case method has given good results in the competences achieved by students

Nationwide impact and vehicle to grid application of electric vehicles mobility using an activity based model

This paper describes the impact of electric mobility on the transmission grid in Flanders region (Belgium), using a micro-simulation activity based models. These models are used to provide temporal and spatial estimation of energy and power demanded by electric vehicles (EVs) in different mobility zones. The increment in the load demand due to electric mobility is added to the background load demand in these mobility areas and the effects over the transmission substations are analyzed. From this information, the total storage capacity per zone is evaluated and some strategies for EV aggregator are proposed, allowing the aggregator to fulfill bids on the electricity markets.

Evaluación de parámetros que influyen en el transporte de cloruros en hormigón parcialmente saturado

El deterioro del hormigón debido a la presencia del ion cloruro es causa frecuente de problemas en estructuras localizadas en ambiente marino y alta montaña. Su principal efecto consiste en la despasivación del acero de refuerzo embebido en el hormigón y su consecuente inicio de la corrosión del mismo. El ingreso del ion cloruro al interior del hormigón, está condicionado por una serie de parámetros de origen medioambiental e intrínsecos del hormigón. En función de estos parámetros el ingreso de cloruros en el hormigón puede deberse principalmente a los siguientes mecanismos: difusión y succión capilar. El estudio y evaluación de la resistencia del hormigón frente a cloruros, se ha desarrollado principalmente en condiciones saturadas del hormigón. Lo que ha significado que parámetros de importancia no sean considerados. Debido a esto, distintos procesos que suceden en estructuras reales no han sido identificados y estudiados correctamente. En este trabajo, se diseñó un programa de investigación para evaluar los parámetros que influyen en el transporte cloruros en hormigones no saturados. Para esto se diseñaron tres dosificaciones diferentes de hormigón. En la primera se empleó únicamente cemento portland, para el resto se utilizaron adiciones minerales (humo de sílice y escoria de alto horno). El empleo de adiciones se debió a que tienen un papel importante en la durabilidad de hormigones frente a cloruros. Los hormigones fueron dosificados con una relación agua/material cementício de 0,40 para el hormigón elaborado únicamente con cemento portland y 0,45 para las mezclas con adiciones. Para evaluar las propiedades de los hormigones en estado fresco y endurecido se realizaron ensayos vigentes en las normativas. Con los resultados obtenidos se determinaron parámetros de resistencia mecánica, microestructurales, resistencia al transporte de cloruros e higroscópicos. Una vez caracterizados los hormigones, se diseñó una propuesta experimental para estudiar los principales parámetros presentes en estructuras reales con presencia de cloruros. Tanto la concentración de cloruro como las condiciones ambientales se han variado teniendo como referencia las situaciones reales que podrían producirse en ambientes de alta montaña en la zona centro de España. La propuesta experimental consistió en tratar de evaluar la capacidad de los hormigones al transporte de iones en ambientes de alta montaña con presencia de sales fundentes. Para esto se establecieron 5 fases experimentales donde los principales parámetros ambientales y la presencia de iones agresivos sufrieron variaciones. Al término de cada fase se obtuvieron perfiles de penetración de cloruros en los hormigones y se evaluó la influencia de los parámetros presentes en cada fase. Los resultados experimentales se implementaron en un modelo numérico basado en la teoría de elementos finitos, desarrollado por el grupo de investigación del Departamento de Materiales de Construcción. Para esto fue necesario realizar la calibración y validación del modelo numérico para cada hormigón. El calibrado del modelo precisa de datos químicos y microestructurales de cada hormigón, tales como: capacidad de combinación de cloruros y propiedades difusivas e higroscópicas. Para la validación del modelo numérico se realizaron simulaciones de la propuesta experimental. Los resultados obtenidos se compararon con los valores experimentales. Con el objeto de poder estudiar en mayor profundidad la influencia del grado de saturación del hormigón durante la difusión de cloruros, se llevó a cabo una campaña experimental que consideró distintos grados de saturación en los hormigones. Para esto se establecieron en los hormigones cuatro grados de saturación distintos (50%, 60%, 80% y 100%, aproximadamente), posteriormente se expusieron a cloruro de sodio finamente molido. Una vez transcurrido el tiempo necesario se obtuvieron experimentalmente los perfiles de penetración de cloruros para cada grado de saturación y se calcularon los coeficientes de difusión. Los datos obtenidos durante la campaña experimental han demostrado la influencia positiva que ejercen las adiciones en las mezclas de hormigón. Sus principales ventajas son el refinamiento de la red porosa y el aumento en la capacidad de combinación de cloruros, además de mejorar sus propiedades mecánicas. La porosidad total en las mezclas no presentó grandes cambios, sin embargo, el cambio en la distribución del tamaño de poros es importante en las muestras con adiciones. En especial las fabricadas con humo de sílice. Los coeficientes de difusión y migración de cloruros para las mezclas con adiciones disminuyeron significativamente, igual que los valores de resistividad eléctrica. En los ensayos de penetración del agua bajo presión, fueron las muestras con adiciones las que mostraron las menores penetraciones. Los resultados obtenidos al final de la propuesta experimental permitieron estudiar los distintos parámetros involucrados. Se observó claramente que el proceso de difusión provoca el mayor transporte de cloruros hacia el interior del hormigón. Así mismo se comprobó que el lavado superficial y el secado de las probetas, trasladan cloruros hacia las zonas externas del hormigón. El primero debido a una baja concentración de cloruros externa, mientras que el secado provoca el movimiento de la solución de poro hacia las zonas de secado depositando cloruros en ellas. Las medidas higroscópicas permitieron determinar la existencia de dos zonas distintas en el interior del hormigón. La primera se localizó en el rango de 0-10mm, aproximadamente, en ésta se puso de manifiesto una mayor sensibilidad a los cambios experimentados en el exterior de las probetas. La segunda zona se localizó a una profundidad mayor de 10mm, aproximadamente. Se observó claramente una baja influencia de los cambios externos, siendo la difusión de cloruros el principal mecanismo de transporte presente en ella. En cuanto al estudio de la influencia del grado de saturación en la difusión de cloruros, se observó claramente una marcada diferencia entre los coeficientes de difusión de cloruro obtenidos. Para grados de saturación mayores del 80% el mecanismo de penetración de cloruros por difusión existe de forma significativa. Mientras que para valores inferiores los resultados revelaron que las vías de acceso disminuyen (poros conectado con agua) considerablemente limitando en un alto grado la penetración del agresivo. Para grados de saturación inferiores del 50% los valores del coeficiente de difusión son despreciables. The deterioration of concrete due to chloride ions is a frequent problem identified in structures located in marine and high-mountain environments. After entering the outer layer of the concrete, the chlorides tend to penetrate until they reach and then depassivate the steel bars. Subsequently, this induces the deterioration process of the reinforced concrete. This chloride penetration depends on the environmental conditions and intrinsic parameters of the concrete. Several transport mechanisms, such as diffusion, capillary suction and permeability can be present into the concrete. While recent research into the study and evaluation of concretes with chloride presence has been carried out in saturated concrete, it has not considered certain parameters that can modify this condition. Consequently, at the time of writing several processes that take place in real structures have not been identified and studied. In this work a research programme is designed to evaluate the parameters that influence chloride transport into non-saturated concrete. For this, three concrete mixes were designed by using high-early-strength Portland cement and mineral admixtures (silica fume and blast-slag furnace). The water-cement ratio was 0.40 for the concrete made solely with Portland cement and 0.45 for the concretes that used mineral admixtures as a cement replacement. A set of experimental tests were performed to evaluate the concrete properties both in fresh and hardened state. In addition, an experimental simulation was carried out under laboratory conditions in which the main objective was to assess resistance of concrete to chloride penetration under high-mountain conditions with the presence of de-icing salts. The environmental conditions and surface chloride concentration of the concrete used during the experimental simulation were chosen by considering conditions found in the high-mountain environment in central Spain. For the experimental simulation five phases were designed by varying the environmental parameters and concrete surface concentration. At the end of each phase a chloride profile was obtained with the aim of assessing the influence of the parameters on chloride transport. The experimental results were then used to calibrate and validate a numerical model based on finite element theory developed by the research team from the Construction Materials Department in a previous work. In order to carry out model calibration chemical and microstructural data for the concretes was required, such as binding capacity and the diffusive and hygroscopic properties. The experimental results were compared with the numerical simulations and provided a good fit. With the objective of studying the influence of the degree of concrete saturation on chloride diffusion, an experimental programme was designed. This entailed four saturation degrees (50%, 60%, 80% and 100%) being established in several concrete samples. The samples were then exposed to ground sodium chloride. Once the time required was achieved, the chloride profiles and diffusion coefficients were obtained for each saturation degree. The results obtained from the experimental program revealed a positive influence of the mineral admixtures on the concretes. Their effects were reflected in the pore-network refinement and the increase of chloride binding capacity, together with the improvement of the mechanical properties of the concretes. Total porosity did not reveal any notable change, though the pore-size distribution showed a significant degree of change in the concretes with mineral admixtures, specifically the samples prepared through use of silica fume. The chloride diffusion and migration coefficient, as well as the electrical resistivity values, decreased significantly in the concretes with admixtures. In the water penetration under pressure test, the concretes with admixtures presented the lowest penetration depth. The results obtained in the experimental simulation allowed study of the main parameters involved during the chloride penetration processes in non-saturated concretes in the presence of chlorides. According to the results, the diffusion process was the transport mechanism that transferred the greatest amount of chlorides into the concrete samples. In addition, a chloride movement toward external zones of the concrete, caused by the washing of concrete surface and the drying processes, was identified. The washing occurred when the concrete surface came into contact with a low-chloride concentration solution which initiated the outward movement of chloride diffusion. The drying processes corresponded to a movement of pore solution launched by water evaporation from the outer layer. Furthermore, hygroscopic measurements made in the concrete allowed two areas with distinct behavioural patterns to be identified. The first one, located in the range of approximately 0-10mm, showed a greater degree of influence regarding the changes of the external conditions. The second, situated at depths greater than 10mm, displayed a low influence of external conditions. The main process in this area was diffusion. Study of the influence of the degree of concrete saturation on chloride diffusion showed a clear difference among the chloride diffusion coefficients obtained. For degrees of concrete saturation higher than 80%, chloride penetration by diffusion tends to be significant. However, in the case of extent of saturation of lower than 80%, the results revealed that the access zone through which chlorides can penetrate decreased considerably. For degrees of concrete saturation lower than 50%, the chloride diffusion coefficients were negligible.

Multi-sensor background subtraction by fusing multiple region-based probabilistic classifiers

In the recent years, the computer vision community has shown great interest on depth-based applications thanks to the performance and flexibility of the new generation of RGB-D imagery. In this paper, we present an efficient background subtraction algorithm based on the fusion of multiple region-based classifiers that processes depth and color data provided by RGB-D cameras. Foreground objects are detected by combining a region-based foreground prediction (based on depth data) with different background models (based on a Mixture of Gaussian algorithm) providing color and depth descriptions of the scene at pixel and region level. The information given by these modules is fused in a mixture of experts fashion to improve the foreground detection accuracy. The main contributions of the paper are the region-based models of both background and foreground, built from the depth and color data. The obtained results using different database sequences demonstrate that the proposed approach leads to a higher detection accuracy with respect to existing state-of-the-art techniques.

Multiscale analysis of the mechanical behavior of needle-punched nonwoven fabrics

Los fieltros son una familia de materiales textiles constituidos por una red desordenada de fibras conectadas por medio de enlaces térmicos, químicos o mecánicos. Presentan menor rigidez y resistencia (al igual que un menor coste de procesado) que sus homólogos tejidos, pero mayor deformabilidad y capacidad de absorción de energía. Los fieltros se emplean en diversas aplicaciones en ingeniería tales como aislamiento térmico, geotextiles, láminas ignífugas, filtración y absorción de agua, impacto balístico, etc. En particular, los fieltros punzonados fabricados con fibras de alta resistencia presentan una excelente resistencia frente a impacto balístico, ofreciendo las mismas prestaciones que los materiales tejidos con un tercio de la densidad areal. Sin embargo, se sabe muy poco acerca de los mecanismos de deformación y fallo a nivel microscópico, ni sobre como influyen en las propiedades mecánicas del material. Esta carencia de conocimiento dificulta la optimización del comportamiento mecánico de estos materiales y también limita el desarrollo de modelos constitutivos basados en mecanismos físicos, que puedan ser útiles en el diseño de componentes estructurales. En esta tesis doctoral se ha llevado a cabo un estudio minucioso con el fin de determinar los mecanismos de deformación y las propiedades mecánicas de fieltros punzonados fabricados con fibras de polietileno de ultra alto peso molecular. Los procesos de deformación y disipación de energía se han caracterizado en detalle por medio de una combinación de técnicas experimentales (ensayos mecánicos macroscópicos a velocidades de deformación cuasi-estáticas y dinámicas, impacto balístico, ensayos de extracción de una o múltiples fibras, microscopía óptica, tomografía computarizada de rayos X y difracción de rayos X de gran ángulo) que proporcionan información de los mecanismos dominantes a distintas escalas. Los ensayos mecánicos macroscópicos muestran que el fieltro presenta una resistencia y ductilidad excepcionales. El estado inicial de las fibras es curvado, y la carga se transmite por el fieltro a través de una red aleatoria e isótropa de nudos creada por el proceso de punzonamiento, resultando en la formación de una red activa de fibra. La rotación y el estirado de las fibras activas es seguido por el deslizamiento y extracción de la fibra de los puntos de anclaje mecánico. La mayor parte de la resistencia y la energía disipada es proporcionada por la extracción de las fibras activas de los nudos, y la fractura final tiene lugar como consecuencia del desenredo total de la red en una sección dada donde la deformación macroscópica se localiza. No obstante, aunque la distribución inicial de la orientación de las fibras es isótropa, las propiedades mecánicas resultantes (en términos de rigidez, resistencia y energía absorbida) son muy anisótropas. Los ensayos de extracción de múltiples fibras en diferentes orientaciones muestran que la estructura de los nudos conecta más fibras en la dirección transversal en comparación con la dirección de la máquina. La mejor interconectividad de las fibras a lo largo de la dirección transversal da lugar a una esqueleto activo de fibras más denso, mejorando las propiedades mecánicas. En términos de afinidad, los fieltros deformados a lo largo de la dirección transversal exhiben deformación afín (la deformación macroscópica transfiere directamente a las fibras por el material circundante), mientras que el fieltro deformado a lo largo de la dirección de la máquina presenta deformación no afín, y la mayor parte de la deformación macroscópica no es transmitida a las fibras. A partir de estas observaciones experimentales, se ha desarrollado un modelo constitutivo para fieltros punzonados confinados por enlaces mecánicos. El modelo considera los efectos de la deformación no afín, la conectividad anisótropa inducida durante el punzonamiento, la curvatura y re-orientación de la fibra, así como el desenredo y extracción de la fibra de los nudos. El modelo proporciona la respuesta de un mesodominio del material correspondiente al volumen asociado a un elemento finito, y se divide en dos bloques. El primer bloque representa el comportamiento de la red y establece la relación entre el gradiente de deformación macroscópico y la respuesta microscópica, obtenido a partir de la integración de la respuesta de las fibras en el mesodominio. El segundo bloque describe el comportamiento de la fibra, teniendo en cuenta las características de la deformación de cada familia de fibras en el mesodominio, incluyendo deformación no afín, estiramiento, deslizamiento y extracción. En la medida de lo posible, se ha asignado un significado físico claro a los parámetros del modelo, por lo que se pueden identificar por medio de ensayos independientes. Las simulaciones numéricas basadas en el modelo se adecúan a los resultados experimentales de ensayos cuasi-estáticos y balísticos desde el punto de vista de la respuesta mecánica macroscópica y de los micromecanismos de deformación. Además, suministran información adicional sobre la influencia de las características microstructurales (orientación de la fibra, conectividad de la fibra anisótropa, afinidad, etc) en el comportamiento mecánico de los fieltros punzonados. Nonwoven fabrics are a class of textile material made up of a disordered fiber network linked by either thermal, chemical or mechanical bonds. They present lower stiffness and strength (as well as processing cost) than the woven counterparts but much higher deformability and energy absorption capability and are used in many different engineering applications (including thermal insulation, geotextiles, fireproof layers, filtration and water absorption, ballistic impact, etc). In particular, needle-punched nonwoven fabrics manufactured with high strength fibers present an excellent performance for ballistic protection, providing the same ballistic protection with one third of the areal weight as compared to dry woven fabrics. Nevertheless, very little is known about their deformation and fracture micromechanisms at the microscopic level and how they contribute to the macroscopic mechanical properties. This lack of knowledge hinders the optimization of their mechanical performance and also limits the development of physically-based models of the mechanical behavior that can be used in the design of structural components with these materials. In this thesis, a thorough study was carried out to ascertain the micromechanisms of deformation and the mechanical properties of a needle-punched nonwoven fabric made up by ultra high molecular weight polyethylene fibers. The deformation and energy dissipation processes were characterized in detail by a combination of experimental techniques (macroscopic mechanical tests at quasi-static and high strain rates, ballistic impact, single fiber and multi fiber pull-out tests, optical microscopy, X-ray computed tomography and wide angle X-ray diffraction) that provided information of the dominant mechanisms at different length scales. The macroscopic mechanical tests showed that the nonwoven fabric presented an outstanding strength and energy absorption capacity. It was found that fibers were initially curved and the load was transferred within the fabric through the random and isotropic network of knots created by needlepunching, leading to the formation of an active fiber network. Uncurling and stretching of the active fibers was followed by fiber sliding and pull-out from the entanglement points. Most of the strength and energy dissipation was provided by the extraction of the active fibers from the knots and final fracture occurred by the total disentanglement of the fiber network in a given section at which the macroscopic deformation was localized. However, although the initial fiber orientation distribution was isotropic, the mechanical properties (in terms of stiffness, strength and energy absorption) were highly anisotropic. Pull-out tests of multiple fibers at different orientations showed that structure of the knots connected more fibers in the transverse direction as compared with the machine direction. The better fiber interconnection along the transverse direction led to a denser active fiber skeleton, enhancing the mechanical response. In terms of affinity, fabrics deformed along the transverse direction essentially displayed affine deformation {i.e. the macroscopic strain was directly transferred to the fibers by the surrounding fabric, while fabrics deformed along the machine direction underwent non-affine deformation, and most of the macroscopic strain was not transferred to the fibers. Based on these experimental observations, a constitutive model for the mechanical behavior of the mechanically-entangled nonwoven fiber network was developed. The model accounted for the effects of non-affine deformation, anisotropic connectivity induced by the entanglement points, fiber uncurling and re-orientation as well as fiber disentanglement and pull-out from the knots. The model provided the constitutive response for a mesodomain of the fabric corresponding to the volume associated to a finite element and is divided in two blocks. The first one was the network model which established the relationship between the macroscopic deformation gradient and the microscopic response obtained by integrating the response of the fibers in the mesodomain. The second one was the fiber model, which took into account the deformation features of each set of fibers in the mesodomain, including non-affinity, uncurling, pull-out and disentanglement. As far as possible, a clear physical meaning is given to the model parameters, so they can be identified by means of independent tests. The numerical simulations based on the model were in very good agreement with the experimental results of in-plane and ballistic mechanical response of the fabrics in terms of the macroscopic mechanical response and of the micromechanisms of deformation. In addition, it provided additional information about the influence of the microstructural features (fiber orientation, anisotropic fiber connectivity, affinity) on the mechanical performance of mechanically-entangled nonwoven fabrics.

Analysis of the Fracture of Reinforced Concrete Flat Elements Subjected to Explosions. Experimental Procedure and Numerical Validation

Many of the material models most frequently used for the numerical simulation of the behavior of concrete when subjected to high strain rates have been originally developed for the simulation of ballistic impact. Therefore, they are plasticity-based models in which the compressive behavior is modeled in a complex way, while their tensile failure criterion is of a rather simpler nature. As concrete elements usually fail in tensión when subjected to blast loading, available concrete material models for high strain rates may not represent accurately their real behavior. In this research work an experimental program of reinforced concrete fíat elements subjected to blast load is presented. Altogether four detonation tests are conducted, in which 12 slabs of two different concrete types are subjected to the same blast load. The results of the experimental program are then used for the development and adjustment of numerical tools needed in the modeling of concrete elements subjected to blast.

A core ontological model for semantic sensor web infrastructures

Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain, that is, the coastal flood emergency planning domain. The paper also presents a set of guidelines, followed during the ontological model development, to satisfy a common set of requirements related to modelling domain-specific features of interest and properties. In addition, the paper includes the results obtained after an exhaustive evaluation of the developed ontologies along different aspects (i.e., vocabulary, syntax, structure, semantics, representation, and context).