Risk assessment of the spanish national railway system

The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to identify potential causes and develop safety systems and deploy safety procedures. Risk assessment is a process for determining the risk magnitude to assist with decision-making. We propose a three-step methodology to predict the mean number of fatalities in railway accidents. The first is to predict the mean number of accidents by analyzing generalized linear models and selecting the one that best fits to the available historical data on the basis of goodness-offit statistics. The second is to compute the mean number of fatalities per accident and the third is to estimate the mean number of fatalities. The methodology is illustrated on the Spanish railway system. Statistical models accounting for annual and grouped data for the 1992-2009 time period have been analyzed. After identifying the models for broad and narrow gauges, we predicted mean number of accidents and the number of fatalities for the 2010-18 time period.

Choked flow in water/CO2 solutions on air-independent propulsion systems

We develop a simplified model of choked flow in pipes for CO2-water solutions as an important step in the modelling of a whole hydraulic system with the intention of eliminating the carbon dioxide generated in air-independent submarine propulsion. The model is based on an approximate fitting of the homogeneous isentropic solution upstream of a valve (or any other area restriction), for given fluid conditions at the entrance. The relative maximum choking back-pressure is computed as a function of area restriction ratio. Although the procedure is generic for gas solutions, numeric values for the non-dimensional parameters in the analysis are developed only for choking in the case of carbon dioxide solutions up to the pure-water limit.

On soil-structure interaction in large non-slender partially buried structures

This paper addresses the seismic analysis of a deeply embedded non-slender structure hosting the pumping unit of a reservoir. The dynamic response in this type of problems is usually studied under the assumption of a perfectly rigid structure using a sub-structuring procedure (three-step solution) proposed specifically for this hypothesis. Such an approach enables a relatively simple assessment of the importance of some key factors influencing the structural response. In this work, the problem is also solved in a single step using a direct approach in which the structure and surrounding soil are modelled as a coupled system with its actual geometry and flexibility. Results indicate that, quite surprisingly, there are significant differences among prediction using both methods. Furthermore, neglecting the flexibility of the structure leads to a significant underestimation of the spectral accelerations at certain points of the structure.

ANN and Fuzzy c-Means applied to environmental pollution prediction

Salamanca, situated in center of Mexico is among the cities which suffer most from the air pollution in Mexico. The vehicular park and the industry, as well as orography and climatic characteristics have propitiated the increment in pollutant concentration of Sulphur Dioxide (SO2). In this work, a Multilayer Perceptron Neural Network has been used to make the prediction of an hour ahead of pollutant concentration. A database used to train the Neural Network corresponds to historical time series of meteorological variables and air pollutant concentrations of SO2. Before the prediction, Fuzzy c-Means and K-means clustering algorithms have been implemented in order to find relationship among pollutant and meteorological variables. Our experiments with the proposed system show the importance of this set of meteorological variables on the prediction of SO2 pollutant concentrations and the neural network efficiency. The performance estimation is determined using the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results showed that the information obtained in the clustering step allows a prediction of an hour ahead, with data from past 2 hours.

Progress on optimization of the solar cell fabrication process by impurity-to-efficiency predictive simulator

To optimize the last high temperature step of a standard solar cell fabrication process (the contact cofiring step), the aluminium gettering is incorporated in the Impurity-to-Efficiency simulation tool, so that it models the phosphorus and aluminium co-gettering effect on iron impurities. The impact of iron on the cell efficiency will depend on the balance between precipitate dissolution and gettering. Gettering efficiency is similar in a wide range of peak temperatures (600-850 ºC), so that this peak temperature can be optimized favoring other parameters (e.g. ohmic contact). An industrial co-firing step can enhance the co-gettering effect by adding a temperature plateau after the peak of temperature. For highly contaminated materials, a short plateau (menor que 2 min) at low temperature (600 ºC) is shown to reduce the dissolved iron.

Fracture strength of drilled wafers: study of the stress concentration factor and determination of the weibull distribution of the fracture stress

In the photovoltaic field, the back contact solar cells technology has appeared as an alternative to the traditional silicon modules. This new type of cells places both positive and negative contacts on the back side of the cells maximizing the exposed surface to the light and making easier the interconnection of the cells in the module. The Emitter Wrap-Through solar cell structure presents thousands of tiny holes to wrap the emitter from the front surface to the rear surface. These holes are made in a first step over the silicon wafers by means of a laser drilling process. This step is quite harmful from a mechanical point of view since holes act as stress concentrators leading to a reduction in the strength of these wafers. This paper presents the results of the strength characterization of drilled wafers. The study is carried out testing the samples with the ring on ring device. Finite Element models are developed to simulate the tests. The stress concentration factor of the drilled wafers under this load conditions is determined from the FE analysis. Moreover, the material strength is characterized fitting the fracture stress of the samples to a three-parameter Weibull cumulative distribution function. The parameters obtained are compared with the ones obtained in the analysis of a set of samples without holes to validate the method employed for the study of the strength of silicon drilled wafers.

Distributed primary user identification from imprecise location information

We study a cognitive radio scenario in which the network of sec- ondary users wishes to identify which primary user, if any, is trans- mitting. To achieve this, the nodes will rely on some form of location information. In our previous work we proposed two fully distributed algorithms for this task, with and without a pre-detection step, using propagation parameters as the only source of location information. In a real distributed deployment, each node must estimate its own po- sition and/or propagation parameters. Hence, in this work we study the effect of uncertainty, or error in these estimates on the proposed distributed identification algorithms. We show that the pre-detection step significantly increases robustness against uncertainty in nodes' locations.

Análisis del comportamiento en servicio de los puentes de fábrica ante las nuevas condiciones de explotación

Los puentes arco de fábrica representan una parte importante del inventario de puentes en España y en Europa. De aquí, la importancia cuantitativa de estas estructuras y el interés que representa tanto para las Administraciones, organismos públicos y privados como para la sociedad en general, mantener estos puentes en servicio. Para poder alargar su vida útil, aún más si cabe, se plantea imprescindible llevar a cabo una labor de conservación y mantenimiento adecuada. La importancia de la evaluación estructural de los puentes de fábrica se basa en la conveniencia de conocer el comportamiento estructural tanto en condiciones de servicio como en agotamiento. El comportamiento en Estado Límite Último ha sido estudiado en profundidad y como resultado, la seguridad frente a agotamiento ha quedado definida con cierta confianza. Sin embargo, el comportamiento en Estado Límite de Servicio no es tan conocido. Se considera necesaria una revisión del concepto de ELS en puentes arco de fábrica puesto que muchos de ellos, cumpliendo las comprobaciones establecidas para ELU, presentan daños asociados a las actuales condiciones de explotación existentes actuales. El presente trabajo se enmarca dentro de un proyecto que está llevando a cabo la UIC (Union Internationale de Chemins de Fer) desde 2004. El objetivo general del mismo es conocer el comportamiento de los puentes arco de fábrica y mejorar los métodos de evaluación, mantenimiento y reparación existentes. Con este estudio, se pretende contribuir a mejorar la caracterización del comportamiento en servicio de estas estructuras. Para ello se ha realizado un análisis del estado tensional de la bóveda y el relleno estudiando la influencia de la configuración geométrica de los puentes y las propiedades de los materiales que los componen. Entender el funcionamiento de estas estructuras y conocer sus peculiares características ha sido el paso previo al desarrollo del estudio. Para ello, se ha acudido al minucioso trabajo desarrollado por diversos autores, desde los primeros análisis mediante la línea de presiones hasta los actuales métodos basados en elementos finitos. En primer lugar, se ha realizado un estudio paramétrico de diferentes configuraciones geométricas. El objetivo es comprobar la influencia de las dimensiones absolutas y las relaciones existentes entre las mismas en el comportamiento en servicio de los puentes. A continuación, se ha estudiado la influencia de las propiedades mecánicas de los rellenos rígido y granular (modificando su módulo de deformabilidad) en el estado tensional de la bóveda y el propio relleno. Para las dos etapas anteriores se emplea un modelo simplificado de puente arco de fábrica. A continuación, se crea un modelo más completo del mismo, para estudiar la influencia de las propiedades mecánicas del substrato de cimentación en el comportamiento estructural en servicio de la estructura. El objetivo final de este trabajo fin de máster, es conocer el comportamiento en servicio de los puentes arco de fábrica, para poder establecer las variables que condicionan el mismo. El siguiente paso en este campo de estudio, consiste en fijar unos valores límite para las mismas. Como síntesis de las conclusiones obtenidas, se menciona que el comportamiento estructural de los puente arco de fábrica, en mayor o menor medida, está influenciado por su geometría y las propiedades de los rellenos y substrato de cimentación que forman parte del mismo. Masonry arch bridges represent an important part of the total bridges, both in Spain and Europe. For this reason, these structures are so important in terms of quantity. They play an essential role for public administration and people in general. In order to remain those bridges serviceable, suitable inspections and repairs are required. It is necessary to have knowledge of the bridge condition so that an assessment can be made with confidence. It is therefore necessary to check that bridges behave properly under Ultimate Limit State criterion and Serviceability Limit State criterion. ULS has been studied thoroughly and as result, requirements under collapse are well described. However, structural behaviour under conditions of serviceability is not well evaluated. Serviceability Limit State criterion should be redefined for masonry arch bridges assessment. This is because many bridges that fulfil SLS criterion have damages. The purpose of this work is to take part in the improvement of assessment under serviceability. A vault and fill structural behaviour analysis has been performed from two points of view: geometry of the bridge and materials’ properties. The starting point was learning about masonry arch bridges behaviour and their special features. For this task, a revision of several authors’ thorough study has been made, from the line of thrust analysis to the current finite element analysis. Firstly, a parametric study of typologies of bridge has been made. The aim is to know how vault and fill behaviour changes modifying both absolute dimensions and relation between them. In the next step, a study of both surface fill and backfill properties has been done. The aim is to know how vault and fill behaviour changes modifying Young’s modulus. The principal conclusion achieved along this work is that the structural behaviour of masonry bridges depends of the bridge geometry and its material properties.

Integrated luminescent chemical microsensors based on GaN LEDs for security applications using smartphones

Development of PCB-integrateable microsensors for monitoring chemical species is a goal in areas such as lab-on-a-chip analytical devices, diagnostics medicine and electronics for hand-held instruments where the device size is a major issue. Cellular phones have pervaded the world inhabitants and their usefulness has dramatically increased with the introduction of smartphones due to a combination of amazing processing power in a confined space, geolocalization and manifold telecommunication features. Therefore, a number of physical and chemical sensors that add value to the terminal for health monitoring, personal safety (at home, at work) and, eventually, national security have started to be developed, capitalizing also on the huge number of circulating cell phones. The chemical sensor-enabled “super” smartphone provides a unique (bio)sensing platform for monitoring airborne or waterborne hazardous chemicals or microorganisms for both single user and crowdsourcing security applications. Some of the latest ones are illustrated by a few examples. Moreover, we have recently achieved for the first time (covalent) functionalization of p- and n-GaN semiconductor surfaces with tuneable luminescent indicator dyes of the Ru-polypyridyl family, as a key step in the development of innovative microsensors for smartphone applications. Chemical “sensoring” of GaN-based blue LED chips with those indicators has also been achieved by plasma treatment of their surface, and the micrometer-sized devices have been tested to monitor O2 in the gas phase to show their full functionality. Novel strategies to enhance the sensor sensitivity such as changing the length and nature of the siloxane buffer layer are discussed in this paper.

Common motifs in scientific workflows: An empirical analysis

While workflow technology has gained momentum in the last decade as a means for specifying and enacting computational experiments in modern science, reusing and repurposing existing workflows to build new scientific experiments is still a daunting task. This is partly due to the difficulty that scientists experience when attempting to understand existing workflows, which contain several data preparation and adaptation steps in addition to the scientifically significant analysis steps. One way to tackle the understandability problem is through providing abstractions that give a high-level view of activities undertaken within workflows. As a first step towards abstractions, we report in this paper on the results of a manual analysis performed over a set of real-world scientific workflows from Taverna and Wings systems. Our analysis has resulted in a set of scientific workflow motifs that outline i) the kinds of data intensive activities that are observed in workflows (data oriented motifs), and ii) the different manners in which activities are implemented within workflows (workflow oriented motifs). These motifs can be useful to inform workflow designers on the good and bad practices for workflow development, to inform the design of automated tools for the generation of workflow abstractions, etc.

Study of the effect of different hole sizes on mechanical strength of wafers for back contact solar cells

Drilling process on wafers to produce EWT or MWT solar cells is a critical fabrication step, which affects on their mechanical stability. The amount of damage introduced during drilling process depends on the density of holes, their size and the chemical process applied afterwards. To quantify the relation between size of the holes and reduction of mechanical strength, several sets of wafers have been prepared, with different hole diameter. The mechanical strength of these sets has been measured by the ring on ring bending test, and the stress state in the moment of failure has been deduced by FE simulation.

Damage reduction of the laser drilling process on back contact solar cells by chemical treatment

Production of back contact solar cells requires holes generations on the wafers to keep both positive and negative contacts on the back side of the cell. This drilling process weakens the wafer mechanically due to the presence of the holes and the damage introduced during the process as microcracks. In this study, several chemical processes have been applied to drilled wafers in order to eliminate or reduce the damage generated during this fabrication step. The treatments analyzed are the followings: alkaline etching during 1, 3 and 5 minutes, acid etching for 2 and 4 minutes and texturisation. To determine mechanical strength of the samples a common mechanical study has been carried out testing the samples by the Ring on Ring bending test and obtaining the stress state in the moment of failure by FE simulation. Finally the results obtained for each treatment were fitted to a three parameter Weibull distribution

Dielectric behaviour of Hf-doped CaCu3Ti4O12 ceramics obtained by conventional synthesis and reactive sintering

CaCu3(Ti4xHfx)O12 ceramics (JC = 0.04, 0.1 and 0.2) were prepared by conventional synthesis (CS) and through reactive sintering (RS), in which synthesis and sintering of the material take place in one single step. The microstructure and the dielectric properties of Hf-doped CCTO (CCTOHf) have been studied by XRD, FE-SEM, AFM, Raman and impedance spectroscopy (IS) in order to correlate the structure, microstructure and the electrical properties. Samples prepared by reactive sintering show slightly higher dielectric constant than those prepared by conventional synthesis in the same way than the pure CCTO. Dielectric constant and dielectric losses decrease slightly increasing Hf content. For CCTOHf ceramics with x> 0.04 for CS and x> 0.1 for RS, a secondary phase HfTi04 appears. As expected, the reactive sintering processing method allows a higher incorporation of Hf in the CCTO lattice than the conventional synthesis one.

FRe building technological products

Nowadays "Flood Resilient (FRe) Building Technological Products" is an undefined concept, and concerned FRe solutions cannot be even easily identified. There is an interest in offering an identification and classification of the referred products, since it will be useful for stakeholders and populations at flood risk for adopting the most adequate protections when facing floods. There are many barriers for the implementation of "FRe building technological products", and particularly their standardization is still a major challenge. To put into contact such solutions with final customers, it appears necessary to protocolize them all. The classification effort achieved in this document shall be considered as a necessary preliminary step in order to open the road to the market to FRe building technological solutions.

Experiences on the specification of algorithms for fire and smoke control in road tunnels

The main objective of ventilation systems in case of fire is the reduction of the possible consequences by achieving the best possible conditions for the evacuation of the users and the intervention of the emergency services. The required immediate transition, from normal to emergency functioning of the ventilation equipments, is being strengthened by the use of automatic and semi-automatic control systems, what reduces the response times through the help to the operators, and the use of pre-defined strategies. A further step consists on the use of closed-loop algorithms, which takes into account not only the initial conditions but their development (air velocity, traffic situation, etc.), optimizing smoke control capacity.