Dimensionless wave height parameter for preliminary design of scour protection in offshore wind farms

This article describes the results of an investigation aimed at the analysis methods used in the design of the protections against scour phenomenon on offshore wind farms in transitional waters, using medium and large diameter monopile type deep foundations.

Analysis of QoS Parameter in AODV a DSR in Mobile Ad Hoc Networks

Providing QoS in the context of Ad Hoc networks includes a very wide field of application from the perspective of every level of the architecture in the network. Saying It in another way, It is possible to speak about QoS when a network is capable of guaranteeing a trustworthy communication in both extremes, between any couple of the network nodes by means of an efficient Management and administration of the resources that allows a suitable differentiation of services in agreement with the characteristics and demands of every single application.The principal objective of this article is the analysis of the quality parameters of service that protocols of routering reagents such as AODV and DSR give in the Ad Hoc mobile Networks; all of this is supported by the simulator ns-2. Here were going to analyze the behavior of some other parameters like effective channel, loss of packages and latency in the protocols of routering. Were going to show you which protocol presents better characteristics of Quality of Service (QoS) in the MANET networks.

Dispersion relation for electron waves propagating in an isotropic plasma containing Maxwellian and suprathermal electrons

The paper discusses the dispersion relation for longitudinal electron waves propagating in a collisionless, homogeneous isotropic plasma, which contains both Maxwellian and suprathermal electrons. I t is found that the dispersion curve, known to have two separate branches for zero suprathermal energy spread,depends sensitively on this quantity. As the energy half-width of the suprathermal population increases, the branches approach each other until they touch at a connexion point, for a small critical value of that half-width. The topology of the dispersion curves is different for half-widths above and below critical; and this can affect the use of wave-propagation measurements as a diagnostic technique for the determination of the electron distribution function. Both the distance between the branches and spatial damping near the connexion frequency depend on the half-width, if below critical, and can be used to determine it. The theory is applied to experimental data.

Diseño y comportamiento de uniones estructurales mecánicas y adhesivas. Condiciones superficiales y operacionales

Las uniones estructurales mecánicas y adhesivas requieren la combinación de un número importante de parámetros para la obtención de la continuidad estructural que exigen las condiciones de diseño. Las características de las uniones presentan importantes variaciones, ligadas a las condiciones de ejecución, tanto en uniones mecánicas como especialmente en uniones adhesivas y mixtas (unión mecánica y adhesiva, también conocidas como uniones híbridas). Las propiedades mecánicas de las uniones adhesivas dependen de la naturaleza y propiedades de los adhesivos y también de muchos otros parámetros que influyen directamente en el comportamiento de estas uniones. Algunos de los parámetros más significativos son: el acabado superficial de los materiales, área y espesor de la capa adhesiva, diseño adecuado, secuencia de aplicación, propiedades químicas de la superficie y preparación de los sustratos antes de aplicar el adhesivo. Los mecanismos de adhesión son complejos. En general, cada unión adhesiva solo puede explicarse considerando la actuación conjunta de varios mecanismos de adhesión. No existen adhesivos universales para un determinado material o aplicación, por lo que cada pareja sustrato-adhesivo requiere un particular estudio y el comportamiento obtenido puede variar, significativamente, de uno a otro caso. El fallo de una junta adhesiva depende del mecanismo cohesión-adhesión, ligado a la secuencia y modo de ejecución de los parámetros operacionales utilizados en la unión. En aplicaciones estructurales existen un número muy elevado de sistemas de unión y de posibles sustratos. En este trabajo se han seleccionado cuatro adhesivos diferentes (cianoacrilato, epoxi, poliuretano y silano modificado) y dos procesos de unión mecánica (remachado y clinchado). Estas uniones se han aplicado sobre chapas de acero al carbono en diferentes estados superficiales (chapa blanca, galvanizada y prepintada). Los parámetros operacionales analizados han sido: preparación superficial, espesor del adhesivo, secuencia de aplicación y aplicación de presión durante el curado. Se han analizado tanto las uniones individuales como las uniones híbridas (unión adhesiva y unión mecánica). La combinación de procesos de unión, sustratos y parámetros operacionales ha dado lugar a la preparación y ensayo de más de mil muestras. Pues, debido a la dispersión de resultados característica de las uniones adhesivas, para cada condición analizada se han ensayado seis probetas. Los resultados obtenidos han sido: El espesor de adhesivo utilizado es una variable muy importante en los adhesivos flexibles, donde cuanto menor es el espesor del adhesivo mayor es la resistencia mecánica a cortadura de la unión. Sin embargo en los adhesivos rígidos su influencia es mucho menor. La naturaleza de la superficie es fundamental para una buena adherencia del adhesivo al substrato, que repercute en la resistencia mecánica de la unión. La superficie que mejor adherencia presenta es la prepintada, especialmente cuando existe una alta compatibilidad entre la pintura y el adhesivo. La superficie que peor adherencia tiene es la galvanizada. La secuencia de aplicación ha sido un parámetro significativo en las uniones híbridas, donde los mejores resultados se han obtenido cuando se aplicaba primero el adhesivo y la unión mecánica se realizaba antes del curado del adhesivo. La aplicación de presión durante el curado se ha mostrado un parámetro significativo en los adhesivos con poca capacidad para el relleno de la junta. En los otros casos su influencia ha sido poco relevante. El comportamiento de las uniones estructurales mecánicas y adhesivas en cuanto a la resistencia mecánica de la unión puede variar mucho en función del diseño de dicha unión. La resistencia mecánica puede ser tan grande que falle antes el substrato que la unión. Las mejores resistencias se consiguen diseñando las uniones con adhesivo cianoacrilato, eligiendo adecuadamente las condiciones superficiales y operacionales, por ejemplo chapa blanca aplicando una presión durante el curado de la unión. La utilización de uniones mixtas aumenta muy poco o nada la resistencia mecánica, pero a cambio proporciona una baja dispersión de resultados, siendo destacable para la superficie galvanizada, que es la que presenta peor reproducibilidad cuando se realizan uniones sólo con adhesivo. Las uniones mixtas conducen a un aumento de la deformación antes de la rotura. Los adhesivos dan rotura frágil y las uniones mecánicas rotura dúctil. La unión mixta proporciona ductilidad a la unión. Las uniones mixtas también pueden dar rotura frágil, esto sucede cuando la resistencia del adhesivo es tres veces superior a la resistencia de la unión mecánica. Las uniones híbridas mejoran la rigidez de la junta, sobre todo se aprecia un aumento importante en las uniones mixtas realizadas con adhesivos flexibles, pudiendo decirse que para todos los adhesivos la rigidez de la unión híbrida es superior. ABSTRACT The mechanical and adhesive structural joints require the combination of a large number of parameters to obtain the structural continuity required for the design conditions. The characteristics of the junctions have important variations, linked to performance conditions, in mechanical joints as particular in mixed adhesive joints (mechanical and adhesive joints, also known as hybrid joints). The mechanical properties of the adhesive joints depend of the nature and properties of adhesives and also of many other parameters that directly influence in the behavior of these joints. Some of the most significant parameters are: the surface finished of the material, area and thickness of the adhesive layer, suitable design, and application sequence, chemical properties of the surface and preparation of the substrate before applying the adhesive. Adhesion mechanisms are complex. In general, each adhesive joint can only be explained by considering the combined action of several adhesions mechanisms. There aren’t universal adhesives for a given material or application, so that each pair substrate-adhesive requires a particular study and the behavior obtained can vary significantly from one to another case. The failure of an adhesive joint depends on the cohesion-adhesion mechanism, linked to the sequence and manner of execution of the operational parameters used in the joint. In the structural applications, there are a very high number of joining systems and possible substrates. In this work we have selected four different adhesives (cyanoacrylate, epoxy, polyurethane and silano modified) and two mechanical joining processes (riveting and clinching). These joints were applied on carbon steel with different types of surfaces (white sheet, galvanized and pre-painted). The operational parameters analyzed were: surface preparation, thickness of adhesive, application sequence and application of pressure during curing. We have analyzed individual joints both as hybrid joints (adhesive joint and mechanical joint). The combination of joining processes, substrates and operational parameters has resulted in the preparation and testing of over a thousand specimens. Then, due to the spread of results characteristic of adhesive joints, for each condition analyzed we have tested six samples. The results have been: The thickness of adhesive used is an important variable in the flexible adhesives, where the lower the adhesive thickness greater the shear strength of the joint. However in rigid adhesives is lower influence. The nature of the surface is essential for good adherence of the adhesive to the substrate, which affects the shear strength of the joint. The surface has better adherence is preprinted, especially when there is a high compatibility between the paint and the adhesive. The surface which has poor adherence is the galvanized. The sequence of application has been a significant parameter in the hybrid junctions, where the best results are obtained when applying first the adhesive and the mechanical joint is performed before cured of the adhesive. The application of pressure during curing has shown a significant parameter in the adhesives with little capacity for filler the joint. In other cases their influence has been less relevant. The behavior of structural mechanical and adhesive joints in the shear strength of the joint can vary greatly depending on the design of such a joint. The shear strength may be so large that the substrate fails before the joint. The best shear strengths are achieved by designing the junctions with cyanoacrylate adhesive, by selecting appropriately the surface and operating conditions, for example by white sheet applying a pressure during curing of the joint. The use of hybrid joints no increase shear strength, but instead provides a low dispersion of results, being remarkable for the galvanized surface, which is the having worst reproducibility when performed bonded joints. The hybrid joints leading to increased deformation before rupture. The joints witch adhesives give brittle fracture and the mechanics joints give ductile fracture. Hybrid joint provides ductility at the joint. Hybrid joint can also give brittle fracture, this happens when the shear strength of the adhesive is three times the shear strength of the mechanical joint. The hybrid joints improve stiffness of joint, especially seen a significant increase in hybrid joints bonding with flexible adhesives, can be said that for all the adhesives, the hybrid junction stiffness is higher.

A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation

Stochastic model updating must be considered for quantifying uncertainties inherently existing in real-world engineering structures. By this means the statistical properties,instead of deterministic values, of structural parameters can be sought indicating the parameter variability. However, the implementation of stochastic model updating is much more complicated than that of deterministic methods particularly in the aspects of theoretical complexity and low computational efficiency. This study attempts to propose a simple and cost-efficient method by decomposing a stochastic updating process into a series of deterministic ones with the aid of response surface models and Monte Carlo simulation. The response surface models are used as surrogates for original FE models in the interest of programming simplification, fast response computation and easy inverse optimization. Monte Carlo simulation is adopted for generating samples from the assumed or measured probability distributions of responses. Each sample corresponds to an individual deterministic inverse process predicting the deterministic values of parameters. Then the parameter means and variances can be statistically estimated based on all the parameter predictions by running all the samples. Meanwhile, the analysis of variance approach is employed for the evaluation of parameter variability significance. The proposed method has been demonstrated firstly on a numerical beam and then a set of nominally identical steel plates tested in the laboratory. It is found that compared with the existing stochastic model updating methods, the proposed method presents similar accuracy while its primary merits consist in its simple implementation and cost efficiency in response computation and inverse optimization.

Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow

A hybrid Eulerian-Lagrangian approach is employed to simulate heavy particle dispersion in turbulent pipe flow. The mean flow is provided by the Eulerian simulations developed by mean of JetCode, whereas the fluid fluctuations seen by particles are prescribed by a stochastic differential equation based on normalized Langevin. The statistics of particle velocity are compared to LES data which contain detailed statistics of velocity for particles with diameter equal to 20.4 µm. The model is in good agreement with the LES data for axial mean velocity whereas rms of axial and radial velocities should be adjusted.

Fibras ópticas: interacción dispersion-chirp en sistemas ópticos modulados directamente

En los sistemas de comunicación por fibra óptica, la configuración usualmente empleada para velocidades de transmisión no superiores a 10 Gb/s es la modulación directa del láser (DML). Esta configuración presenta diversas ventajas frente a la modulación externa, como son un bajo coste, simplicidad de diseño, tamaño reducido y una elevada potencia de emisión. Sin embargo, el desplazamiento de la frecuencia nominal del láser (chirp) asociado al DML es un grave inconveniente al que deben enfrentarse los sistemas que trabajan con este modelo de transmisor. En este trabajo se propone un método para la optimización de los sistemas modulados directamente. Este método determina bajo qué condiciones se consigue contrarrestar la dispersión acumulada en el enlace ajustando adecuadamente el chirp del láser y los fenómenos no lineales que se generan en la fibra óptica.

The application of inverse-dispersion and gradient methods to estimate ammonia emissions from a penguin colony.

Penguin colonies represent some of the most concentrated sources of ammonia emissions to the atmosphere in the world. The ammonia emitted into the atmosphere can have a large influence on the nitrogen cycling of ecosystems near the colonies. However, despite the ecological importance of the emissions, no measurements of ammonia emissions from penguin colonies have been made. The objective of this work was to determine the ammonia emission rate of a penguin colony using inverse-dispersion modelling and gradient methods. We measured meteorological variables and mean atmospheric concentrations of ammonia at seven locations near a colony of Adélie penguins in Antarctica to provide input data for inverse-dispersion modelling. Three different atmospheric dispersion models (ADMS, LADD and a Lagrangian stochastic model) were used to provide a robust emission estimate. The Lagrangian stochastic model was applied both in ‘forwards’ and ‘backwards’ mode to compare the difference between the two approaches. In addition, the aerodynamic gradient method was applied using vertical profiles of mean ammonia concentrations measured near the centre of the colony. The emission estimates derived from the simulations of the three dispersion models and the aerodynamic gradient method agreed quite well, giving a mean emission of 1.1 g ammonia per breeding pair per day (95% confidence interval: 0.4–2.5 g ammonia per breeding pair per day). This emission rate represents a volatilisation of 1.9% of the estimated nitrogen excretion of the penguins, which agrees well with that estimated from a temperature-dependent bioenergetics model. We found that, in this study, the Lagrangian stochastic model seemed to give more reliable emission estimates in ‘forwards’ mode than in ‘backwards’ mode due to the assumptions made.

Reconstructing the Timing and Dispersion Routes of HIV-1 Subtype B Epidemics in The Caribbean and Central America: A Phylogenetic Story.

The Caribbean and Central America are among the regions with highest HIV-1B prevalence worldwide. Despite of this high virus burden, little is known about the timing and the migration patterns of HIV-1B in these regions. Migration is one of the major processes shaping the genetic structure of virus populations. Thus, reconstruction of epidemiological network may contribute to understand HIV-1B evolution and reduce virus prevalence. We have investigated the spatio-temporal dynamics of the HIV-1B epidemic in The Caribbean and Central America using 1,610 HIV-1B partial pol sequences from 13 Caribbean and 5 Central American countries. Timing of HIV-1B introduction and virus evolutionary rates, as well as the spatial genetic structure of the HIV-1B populations and the virus migration patterns were inferred. Results revealed that in The Caribbean and Central America most of the HIV-1B variability was generated since the 80 s. At odds with previous data suggesting that Haiti was the origin of the epidemic in The Caribbean, our reconstruction indicated that the virus could have been disseminated from Puerto Rico and Antigua. These two countries connected two distinguishable migration areas corresponding to the (mainly Spanish-colonized) Easter and (mainly British-colonized) Western islands, which indicates that virus migration patterns are determined by geographical barriers and by the movement of human populations among culturally related countries. Similar factors shaped the migration of HIV-1B in Central America. The HIV-1B population was significantly structured according to the country of origin, and the genetic diversity in each country was associated with the virus prevalence in both regions, which suggests that virus populations evolve mainly through genetic drift. Thus, our work contributes to the understanding of HIV-1B evolution and dispersion pattern in the Americas, and its relationship with the geography of the area and the movements of human populations.

Improving the low-wind performance of the AERMOD atmospheric dispersion model for predicting short-range impacts of livestock ammonia emissions.

Short-range impacts to sensitive ecosystems as a result of ammonia emitted by livestock farms are often assessed using atmospheric dispersion modelling systems such as AERMOD. These assessments evaluate mean annual atmospheric concentrations of ammonia and nitrogen deposition rates at the ecosystem location for comparison with ecosystem damage thresholds. However, predictions of mean annual atmospheric concentrations can be dominated by periods of stable night-time conditions, which can contribute significantly to mean concentrations. AERMOD has been demonstrated to overestimate concentrations in certain stable low-wind conditions and so the model could potentially overestimate the short-range impacts of livestock ammonia emissions. This paper tests several modifications to the parameterisation of AERMOD (v12345) that aim to improve model predictions in low-wind conditions. The modifications are first described and then are applied to three pig farm case studies in the USA, Denmark and Spain to assess whether the modifications improve long-term mean ammonia concentration predictions through improved model performance. For these three case studies, most of the modifications tested improved model performance as a result of reducing the long-term mean concentration predictions, with the largest effect for low- or ground-level sources (e.g. slurry lagoons or naturally ventilated housing).

Risk-based methodology for parameter calibration of a reservoir flood control model

Flash floods are of major relevance in natural disaster management in the Mediterranean region. In many cases, the damaging effects of flash floods can be mitigated by adequate management of flood control reservoirs. This requires the development of suitable models for optimal operation of reservoirs. A probabilistic methodology for calibrating the parameters of a reservoir flood control model (RFCM) that takes into account the stochastic variability of flood events is presented. This study addresses the crucial problem of operating reservoirs during flood events, considering downstream river damages and dam failure risk as conflicting operation criteria. These two criteria are aggregated into a single objective of total expected damages from both the maximum released flows and stored volumes (overall risk index). For each selected parameter set the RFCM is run under a wide range of hydrologic loads (determined through Monte Carlo simulation). The optimal parameter set is obtained through the overall risk index (balanced solution) and then compared with other solutions of the Pareto front. The proposed methodology is implemented at three different reservoirs in the southeast of Spain. The results obtained show that the balanced solution offers a good compromise between the two main objectives of reservoir flood control management

New method for analytical photovoltaic parameter extraction

Correct modeling of the equivalent circuits regarding solar cell and panels is today an essential tool for power optimization. However, the parameter extraction of those circuits is still a quite difficult task that normally requires both experimental data and calculation procedures, generally not available to the normal user. This paper presents a new analytical method that easily calculates the equivalent circuit parameters from the data that manufacturers usually provide. The analytical approximation is based on a new methodology, since methods developed until now to obtain the aforementioned equivalent circuit parameters from manufacturer's data have always been numerical or heuristic. Results from the present method are as accurate as the ones resulting from other more complex (numerical) existing methods in terms of calculation process and resources.

Predicción del remonte extremo en playas : aplicación a los sectores litorales de la costa española

El remonte extremo o remonte del 2% es un parámetro clave en la ingeniería costera dado que permite acometer actuaciones en las playas bajo criterios de sostenibilidad económico y socioambiental. Estas actuaciones van desde el diseño de estructuras en el trasdós de la playa a planes de actuación urbanística en la costa tal que se determine adecuadamente los límites de dominio público. El adecuado diseño de estas actuaciones adquiere más relevancia hoy en día debido a las nuevas amenazas que se ponen de relieve debido al cambio climático, y que en el caso concreto de la costa se materializa en inundaciones que provocan pérdidas económicas. Estudios precedentes han realizado ensayos in situ o en modelo físico para la determinación del remonte extremo en playas. Al comparar estas formulaciones la dispersión es alta lo que implica que la precisión en la obtención del remonte no sea suficiente. Esta dispersión se justifica debido al amplio espectro de playas existentes y la alta variabilidad del clima marítimo. Este problema cobra más relevancia debido a las actuaciones preventivas o correctivas a acometer frente al cambio climático bajo un criterio de sostenibilidad. Con el fin de realizar actuaciones sostenibles bajo el contexto actual del probable aumento de inundaciones costeras por cambio climático no deben obtenerse ni magnitudes sobredimensionadas con el consecuente consumo de recursos y afección a las actividades económicas, ni magnitudes subestimadas que pongan en riesgo la estabilidad y/o la funcionalidad de las actuaciones para un periodo de diseño. El principal objetivo de esta tesis es proponer una formulación de aplicación en la obtención del remonte extremo tal que se cumplan los criterios de seguridad para el servicio y funcionalidad de la obra y los criterios de sostenibilidad económico y socio-ambiental que se requieren hoy en día. Es decir, una fórmula que no sobredimensione el cálculo de este valor pero que pueda cubrir la casuística que acontece en las distintas tipologías de playas. Complementariamente a este objetivo se ejemplifica la aplicación de estas formulaciones en casos reales tal que se reduzca la incertidumbre y ambigüedad en la obtención de las variables independientes de las formulaciones. Para la consecución de estos objetivos se realiza un estado del arte en el que se estudia tanto los estudios estadísticos en la obtención de este parámetro como los modelos numéricos propuestos para ello, tal que se deduzca la mejor línea de investigación en la consecución del fin de esta tesis. Tras este estudio del arte se concluye que la mejor línea de investigación sigue la vía estadística y se diseña un modelo físico con fondo de arena en contraste con modelos físicos con fondo impermeable fijo. Los resultados de dicho modelo se han comparado con las formulaciones precedentes y se proponen las fórmulas de aplicación más convenientes para la obtención del remonte extremo. Complementariamente a la propuesta de formulaciones se desarrolla una metodología de aplicación de dichas formulaciones a casos de la costa española que ejemplifican convenientemente su uso para una adecuada predicción de este valor en las playas. The extreme runup is a key parameter in coastal management. This parameter allows to develop sustainability actions at the coast that meet economical and environmental criteria. At the coast the actions can be either design of structures at the shore or actions plans delimiting reclamation areas. The climate change has given more relevance to accomplish an appropriate design for the coastal management actions. At the coast the threaten are mainly focused on more frequent floods that cause economic losses. Previous studies have carried out field or physical model experiments to accomplish an equation for the extreme runup prediction. Although dispersion remains high when comparing the different proposals so the accuracy in the prediction might be risky. This scattering comes from the wide sort of beaches and the high variability of the maritime climate. The new actions that are needed to develop to counteract the effects of the climate change need a more efficient criteria. Hence formulations should not overestimate or underestimate the values of the extreme runup. The overestimation implies to consume resources that are not needed and the underestimation means in a structure risk to support safely the loads. The main goal of this thesis is to propose a formulation for the extreme runup prediction so the safety of the structure can be accomplished but at the same time the sustainability of the action is ensured under economical and environmental criteria that are demanded nowadays. So the formulation does not overestimate the extreme value but cover with enough confidence the different sort of beaches. The application of the formulation is also explained in order to reduce uncertainty when the input values are obtained. In order to accomplish the goal of this research firstly a literature review is done. Statistical and numerical models are studied. The statistical model is selected as the most convenient research guideline. In order to obtain runup results a physical model with sand bed is carried out. The bed differs from those that used impermeable slope in previous experiments. Once the results are obtained they are compared with the previous equations and a final formulation is proposed. Finally a methodology to apply the deduced formulation to the Spanish beaches is addressed.

Finite element simulation of dispersion in the Bay of Santander

Two mathematical models are used to simulate pollution in the Bay of Santander. The first is the hydrodynamic model that provides the velocity field and height of the water. The second gives the pollutant concentration field as a resultant. Both models are formulated in two-dimensional equations. Linear triangular finite elements are used in the Galerkin procedure for spatial discretization. A finite difference scheme is used for the time integration. At each time step the calculated results of the first model are input to the second model as field data. The efficiency and accuracy of the models are tested by their application to a simple illustrative example. Finally a case study in simulation of pollution evolution in the Bay of Santander is presented

Parameter-based mechanism for unifying user interaction, applications and communication protocols

In the smart building control industry, creating a platform to integrate different communication protocols and ease the interaction between users and devices is becoming increasingly important. BATMP is a platform designed to achieve this goal. In this paper, the authors describe a novel mechanism for information exchange, which introduces a new concept, Parameter, and uses it as the common object among all the BATMP components: Gateway Manager, Technology Manager, Application Manager, Model Manager and Data Warehouse. Parameter is an object which represents a physical magnitude and contains the information about its presentation, available actions, access type, etc. Each component of BATMP has a copy of the parameters. In the Technology Manager, three drivers for different communication protocols, KNX, CoAP and Modbus, are implemented to convert devices into parameters. In the Gateway Manager, users can control the parameters directly or by defining a scenario. In the Application Manager, the applications can subscribe to parameters and decide the values of parameters by negotiating. Finally, a Negotiator is implemented in the Model Manager to notify other components about the changes taking place in any component. By applying this mechanism, BATMP ensures the simultaneous and concurrent communication among users, applications and devices.