Análisis del comportamiento de las tuberías de poliéster reforzado con fibra de vidrio con capa de arena

Aunque las primeras fábricas de tubos de poliéster reforzado con fibra de vidrio en España datan del año 1984, no es sino hasta el año 1996 cuando se comienza su utilización masiva como un sustituto de las tuberías de fribrocemento, que ya habían sido prohibidas por la legislación, debido a los efectos cancerígenos de este material. Desde entonces se ha prodigado la utilización de todas las diferentes tipologías de esta clase de tubería, de conformidad a los procesos de fabricación empleados que se encuentran recopilados en el AWWA Manual M45 (Fiberglass Pipe Design), obteniéndose muy diversos resultados. Durante estos años, ha surgido una creciente preocupación en los usuarios de este tipo de tuberías dadas las continuas y numerosas averías en todo el ámbito geográfico. Esto ha promovido el desarrollo de la presente investigaicón, que se ha dividido en dos partes y que ha concluido con la determinación de un nuevo mecanismo específico de fractura. La primera parte se centró en la obtención y desarrollo del modelo teórico que hemos venido a denominar como "Teoría de la Caja Mecánicamente Contaminada", y que está basado en la contaminación o separación por un impacto de dos de las tres capas que forman la tubería, la capa intermedia de arena y la capa más interna o "inner layer". La consecuencia es la disminución del canto resistente, la rotura del inner layer y la entrada de fluido a la capa de arena. Para la evaluación de la magnitud de esta separación se ha desarrollado un modelo analítico que ha determinado la existencia de una relación cuadrática que la rige, y que ha sido verificado mediante ensayos de impacto sobre probetas de tuberías, alcanzando ajustes de hasta el 92%. Así, se ha determinado que impactos de muy baja intensidad, del entorno de 90 a 160 Julios en tuberías Filament Winding continuo PN 16-20 (de 800 a 1000mm) pueden comprometer seriamente la integridad estructural de la tubería sin dejar, en un principio, muesca o traza alguna que pueda alertar del problema. Los siguientes pasos en el estudio se dirigieron a determinar qué otros mecanismos, aparte del golpe, podrían contaminar la tubería y a estudiar el consiguiente avance de la fractura a las capas externas. Se trataba además de analizar la aparición en el tubo de unas misteriosas manchas en forma de "piel de leopardo" y de otros fenómenos aparecidos en las averías como que algunas de las deformaciones de la rotura por presión interna son hacia el interior del tubo y no al revés, como habría sido de esperar a priori. Se optó entonces por comenzar la que ha constituido la segunda parte de la investigación. Para ello se recurrió a realizar ensayos hidráulicos en banco de pruebas a alta presión, cuyos resultados fueron sorprendentes al descubrir que en el proceso se producía la hidrólisis de la resina de poliéster no catalizada que fluía hacia el exterior del tubo. Como consecuencia se llevaron a cabo nuevos ensayos físicos y químicos para estudiar la migración del material y la hidrólisis producida en el proceso de fractura. En este estudio, resultó muy relevante el hecho de sobrepasar o no la presión que producía el desagarro entre las capas del tubo. En definitiva, en esta investigación, que ha constado de estudios analíticos y estudios experimentales, químicos y numéricos, se ha determinado un nuevo mecanismo de fractura que explica gran parte de los fallos acontecidos en las tuberías de poliéster reforzado con fibra de vidrio. Como aplicación se exponen recomendaciones para mejorar el comportamiento mecánico de esta tipología y evitar así los sobrecostes millonarios producidos por su reposición. Numerous and continuous failures in fiberglass reinforced polyester pipes of different companies and manufacturing processes of the AWWA Manual M45 (Fiberglass Pipe Design), have prompted the development of this research, that has concluded with a specific mechanism describing pipe fractures. This research was carried out via two independent studies. The first one is the development of the hypothesis that turned into the Mechanically Contaminated Layer Theory. This theory describes the fracture mchanism which explains a significant part of massive failures due to the existence of a sand layer placed near the neutral axis in the core making the composite very sensitive to impacts in fibreglass reinforced polyester pipes. These failures create interface delamination and consequently fluid can leak into supporting sand backfill thereby iniating the fracture process. In order to assess the delimination magnitude, an analytic method is developed and a squared root law between delamination and energy applied proposed. Vertical blunt ram testts on samples extracted from complete pipes have been carried out to verify this theory, reaching a goodness of fit up to 92%. It is concluded that low energy impacts, around 90-160J in 800-1000mm diameter PN 16-20 continuous filament winding pipes, can seriously compromise their structural integraty with no external trace. The next step in the study was to determine what other mechanism, apart from the brittle hit, could contaminate the pipe and to analyse the consequente advance of the fracture to the external layers. Another aim was to analyse two phenomena occurred in real pipe failures. The first one is the appearance on the tube of "leopard fur" stains on some of the analysed failures, and the other phenomenon is the "inverse fracture", in which the deformations of the failure due to internal pressure are towards the inside of the tube and not the other way round, as it would be expected. It was then chosen to follow a new branch of the investigation by hydraulic high-pressure bench tests that study seepage and load transmission. The results were very surprising as it was discovered that in the process, hydrolysis of the non-catalysed polyester resin occured, flowing towards the outer of the pipe, which entailed the development of chemical and physical tests of the exuded material to study material migration and hydrolysis of the fracture process. In this particular study it was relevant to exceed or not the pressure that produced the rip between the layers of the tube. In conclusion, a new breakage mechanism in FRP pies with sand-filled layer has been found, which explains a high part of the failure global cases. The whole failure process is justified by the Mechanically Contaminated Layer Theory, which has been corroborated by means of analytical, numerical and experimental studies. Several recommendations are also provided in order to improve the mechanical behaviour of this typology and avoid the millionaire overruns generated by its massive failures.

Relación óptima de Metionina+Cistina/lisina digestibles en gallinas Isa Brown de 34 a 42 semanas de edad.

Los trabajos previos en los que se han estudiado las recomendaciones de metionina+cistina para gallinas ponedoras son muy numerosos, pero los resultados obtenidos presentan una gran variabilidad y, en algunos casos, son contradictorios. Esta variabilidad se explica por las condiciones en las que se ha realizado el estudio, la edad de las gallinas, la genética y el parámetro a optimizar.

A novel energy-driven computing paradigm for e-health scenarios

A first-rate e-Health system saves lives, provides better patient care, allows complex but useful epidemiologic analysis and saves money. However, there may also be concerns about the costs and complexities associated with e-health implementation, and the need to solve issues about the energy footprint of the high-demanding computing facilities. This paper proposes a novel and evolved computing paradigm that: (i) provides the required computing and sensing resources; (ii) allows the population-wide diffusion; (iii) exploits the storage, communication and computing services provided by the Cloud; (iv) tackles the energy-optimization issue as a first-class requirement, taking it into account during the whole development cycle. The novel computing concept and the multi-layer top-down energy-optimization methodology obtain promising results in a realistic scenario for cardiovascular tracking and analysis, making the Home Assisted Living a reality.

Enhancing regression models for complex systems using evolutionary techniques for feature engineering

This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an optimal set of features that take part of a linear and convex model. This technique provides both Feature Engineering and Symbolic Regression in order to infer accurate models with no effort or designer's expertise requirements. As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. These facilities consume from 10 to 100 times more power per square foot than typical office buildings. Modeling the power consumption for these infrastructures is crucial to anticipate the effects of aggressive optimization policies, but accurate and fast power modeling is a complex challenge for high-end servers not yet satisfied by analytical approaches. For this case study, our methodology minimizes error in power prediction. This work has been tested using real Cloud applications resulting on an average error in power estimation of 3.98%. Our work improves the possibilities of deriving Cloud energy efficient policies in Cloud data centers being applicable to other computing environments with similar characteristics.

Server power modeling for run-time energy optimization of cloud computing facilities

As advanced Cloud services are becoming mainstream, the contribution of data centers in the overall power consumption of modern cities is growing dramatically. The average consumption of a single data center is equivalent to the energy consumption of 25.000 households. Modeling the power consumption for these infrastructures is crucial to anticipate the effects of aggressive optimization policies, but accurate and fast power modeling is a complex challenge for high-end servers not yet satisfied by analytical approaches. This work proposes an automatic method, based on Multi-Objective Particle Swarm Optimization, for the identification of power models of enterprise servers in Cloud data centers. Our approach, as opposed to previous procedures, does not only consider the workload consolidation for deriving the power model, but also incorporates other non traditional factors like the static power consumption and its dependence with temperature. Our experimental results shows that we reach slightly better models than classical approaches, but simul- taneously simplifying the power model structure and thus the numbers of sensors needed, which is very promising for a short-term energy prediction. This work, validated with real Cloud applications, broadens the possibilities to derive efficient energy saving techniques for Cloud facilities.

Leakage-aware cooling management for improving server energy efficiency

The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.

Hacia la conciencia social del consumo energético en centros de datos

Ante el problema creciente del consumo en los centros de datos, unido a la adopción paulatina de las mejores prácticas actuales para mejorar la eficiencia energética, se hace imprescindible un cambio radical en el enfoque de la energía en dichos centros de datos para poder seguir reduciendo de manera significativa su impacto medioambiental. En este artículo presentamos una propuesta inicial para la optimización integral del consumo de energía en centros de datos, que ha sido validado en un escenario de monitorización poblacional de salud, con ahorros de hasta un 50% frente al estado del arte en eficiencia energética. Defendemos una conciencia global del Estado y el comportamiento térmico del centro de datos, utilizando modelos predictivos para anticipar las variables determinantes para la optimización. Además, las estrategias de optimización energética de los centros de datos del futuro tienen que ser sociales: los distintos elementos (servidores, software de gestión, sistemas de refrigeración) deben tener cierta conciencia del estado de los demás elementos del sistema y de cómo el entorno los puede perjudicar o favorecer, buscando el consenso en estrategias colaborativas para reducir el consumo total.

Graphene for energy storage

Due to its excellent mechanical, termal, optical and electrical properties, graphene has recently attracted increasing attention. It provides a huge surface area (2630m2 g-1) and high electrical conductivity, making it an attractive material for applications in energy-storage systems.

Electrical model for characterizing CVD graphene

Due to its extremely small thickness (0.35 nm), graphene is an intrinsic 2D nanomaterial. As in many other nanomaterials, its unique properties are derived from its exceptional dimensions. One of these properties is its linear dispersion equation that implies charge carriers with extraordinary high mobility. Therefore, the electronic properties of the material can lead to a big improvement in the performance of known electronic devices, or even result in novel devices for a post-silicon era.

Method for electrical evaluation of graphene using a GFET structure

n this work, we explain a method to characterize graphene using electrical measurements in graphene field-effect transistors (GFET) devices. Our goal is to obtain the material electronic properties from the output characteristics of one GFET device. For the previous purpose, we will need to apply a physical model that allows us to correlate the electronic behavior of a GFET with the material properties.

Graphene foam functionalized with electrodeposited nickel hydroxide for energy applications

The need of new systems for the storage and conversion of renewable energy sources is fueling the research in supercapacitors. In this work, we propose a low temperature route for the synthesis of electrodes for these supercapacitors: electrodeposition of a transition metal hydroxide–Ni(OH)2 on a graphene foam. This electrode combines the superior mechanical and electrical properties of graphene, the large specific surface area of the foam and the large pseudocapacitance of Ni(OH)2. We report a specific capacitance up to 900 F/g as well as specific power and energy comparable to active carbon electrodes. These electrodes are potential candidates for their use in energy applications.

Polyaniline-coated carbon papers for supercapacitor electrodes

Graphene and carbon nanotubes are promising materials for supercapacitor electrodes because of their high specific surface area and excellent electrical, thermal, and mechanical properties. However, these materials suffer from a high manufacturing cost and some aggregation of graphene layers or the presence of toxic residual metallic impurities of carbon nanotubes.

Coupling light into graphene plasmons with the help of surface acoustic waves

We propose a scheme for coupling laser light into graphene plasmons with the help of electrically generated surface acoustic waves. The surface acoustic wave forms a diffraction grating which allows us to excite the long lived phononlike branch of the hybridized graphene plasmon-phonon dispersion with infrared laser light. Our approach avoids patterning the graphene sheet, does not rely on complicated optical near-field techniques, and allows us to electrically switch the coupling between far-field radiation and propagating graphene plasmons.

Proactive and reactive thermal aware optimization techniques to minimize the environmental impact of data centers

Data centers are easily found in every sector of the worldwide economy. They are composed of thousands of servers, serving millions of users globally and 24-7. In the last years, e-Science applications such e-Health or Smart Cities have experienced a significant development. The need to deal efficiently with the computational needs of next-generation applications together with the increasing demand for higher resources in traditional applications has facilitated the rapid proliferation and growing of Data Centers. A drawback to this capacity growth has been the rapid increase of the energy consumption of these facilities. In 2010, data center electricity represented 1.3% of all the electricity use in the world. In year 2012 alone, global data center power demand grep 63% to 38GW. A further rise of 17% to 43GW was estimated in 2013. Moreover, Data Centers are responsible for more than 2% of total carbon dioxide emissions.