La cosecha pendiente: De la intervención económica a la infraestructura cultural y comunitaria en el medio rural

Reseña bibliográfica de la obra "La cosecha pendiente: De la intervención económica a la infraestructura cultural y comunitaria en el medio rural" de Kepa Fernández de Larrinoa en la que presenta una variada reflexión sobre políticas de desarrollo rural y las estrategias de intervención comunitaria desde el punto de vista de disciplinas como la antropología, la sociología o la economía)

La ciudad autoflexible. Narrativas de la prisa y la exclusión

Private automobility, urban sprawl and social exclusion became interrelated in a complex way in the contemporary city. This paper explores these processes and their social consequences starting from a three-year fieldwork carried out in a Spanish middle town which includes thirty in deep interviews to different familiar selected profiles and key informants. The new ways of sociotechnical organization of the city, the imagery and social senses produced about the experience of an increasing accelerated and scattered environment are analysed as an outstanding information to understand the inequalities underlying this urban model.La automovilidad privada, la dispersión urbana y la exclusión social se relacionan de manera compleja en la ciudad contemporánea. Este trabajo explora sus conexiones y profundiza en sus consecuencias sociales a partir del trabajo de campo desarrollado a lo largo de tres años en una ciudad media española. Incluye una treintena de entrevistas en profundidad a diferentes perfiles familiares seleccionados e informantes expertos. Las nuevas formas de organización sociotécnica de la ciudad, el imaginario de la automovilidad y los sentidos sociales construidos en torno a la experiencia de un entorno continuamente acelerado y deslocalizado, son analizados como un material privilegiado para comprender las desigualdades que subyacen bajo este modelo urbano

A level-set model for thermocapillary motion of deformable fluid particles

A new level-set model is proposed for simulating immiscible thermocapillary flows with variable fluid-property ratios at dynamically deformable interfaces. The Navier–Stokes equations coupled with the energy conservation equation are solved by means of a finite-volume/level-set approach, adapted to a multiple marker methodology in order to avoid the numerical coalescence of the fluid particles. The temperature field is coupled to the surface tension through an equation of state. Some numerical examples including thermocapillary driven convection in two superimposed fluid layers, and thermocapillary motion of single and multiple fluid particles are computed using the present method. These results are compared against analytical solutions and numerical results from the literature as validations of the proposed model.Peer ReviewedPostprint (author's final draft

Minimization procedure of experimental tests for calibration purposes, within HVAC&R energy efficiency framework

Simulation models and predictive tools need to be fast, accurate and robust at the same time. The models that have to provide numerical solutions under transient conditions for a long period of time need to be simple with the aim of minimizing the time respond, without losing the accuracy. Thus, previous experimental data and a calibration methodology are necessary to assure this objective, both are strictly necessary to reproduce the behaviour with accuracy expected. Consequently, even accurate information (e.g. look-up tables) for HVAC&R components (e.g. heat exchangers, fan/compressor, auxiliary elements, etc.) is known and all coupling system is developed, the minimization of experimental tests for calibration purposed based scattered data interpolation is now an important aspect, which looks for reducing the quantity of experiments necessary to assure the accuracy expected from an optimization point of view. The present work shows an optimization procedure based on test number minimization according detailed error comparison against existing previous data. Illustrative results for a specific component are presented highlighting test number reduction without losing accuracy.This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 755517.Peer ReviewedPostprint (published version

DNS of the wall effect on the motion of bubble swarms

This paper presents a numerical study of the gravity-driven motion of single bubbles and bubble swarms through a vertical channel, using High-Performance Computing (HPC) and Direct Numerical Simulation (DNS) of the Navier-Stokes equations. A systematic study of the wall effect on the motion of single deformable bubbles is carried out for confinement ratios CR = {2,4,6} in both circular and square channels, for a broad range of flow conditions. Then, the rising motion of a swarm of deformable bubbles in a vertical channel is researched, for void fractions a = {8.3%, 10.4%, 12.5%} and CR = {4, 6}. These simulations are carried out in the framework of a novel multiple marker interface capturing approach, where a conservative level-set function is used to represent each bubble. This method avoids the numerical and potentially unphysical coalescence of the bubbles, allowing for the collision of the fluid particles as well as long time simulations of bubbly flows. Present simulations are performed in a periodic vertical domain discretized by 2 × 106 control volumes (CVs) up to 16.6 × 106 CVs, distributed in 128 up to 2048 processors. The collective and individual behavior of the bubbles are analyzed in detail.Peer ReviewedPostprint (published version

A Comparison of Hybrid Decision Making Methods for Emergency Support

Abstract A situation consisting in evaluating and choosing among alternative actions can be managed from the point of view of Decision Making (DM). This paper presents an approach to design and develop Decision Support Systems (DSS) to be applied in emergency situations. In these situations the decision maker is under heavy stress because each different decision implies different important outcomes related with human and economic losses. First of all, a domain knowledge base has to be built from both the properties of emergency situations and the actions devoted to counteract them. From this knowledge, three different DM methods, based on the Probability Theory and the Possibility Theory, process the incoming emergency information and choose the best action for putting out the emergency situation. The resulting decisions of each method over a set of plausible emergency situations can be evaluated by a domain expert and the method with the best average performance can be built in the DSS. This DSS can help a decision maker find out an optimal decision in a short period of time maximizing security and minimizing stress.Peer reviewe