Selección de forjados unidireccionales con criterios técnicos, económicos y sostenibles

This paper presents a method for finding the optimal floor slabs according to the requirements of the Spanish Building Code (CTE), the Spanish Structural Concrete Code (EHE-08) and good building practices. This method is applied to the case of one-way floor slabs with on-site cast ribs according with the characteristics and performance parameters usually offered by firms in the industry. The initial data and the variables involved in the process cover the technical viability, sustainability and monetary cost of slabs by incorporating specific ratios to assess the suitability of each solution. The method set out here may prove helpful to construction specialists who need to select optimal-cost floor slabs with the lowest environmental impacts.En este artículo se presenta un método para la búsqueda de forjados óptimos tomando en cuenta las exigencias del Código Técnico de la Edificación, CTE, de la Instrucción de Hormigón Estructural, EHE-08, y de la buena práctica constructiva. Esta metodología se aplica al caso de forjados unidireccionales con nervio hormigonado in situ de acuerdo a las características y prestaciones habituales que ofertan las empresas del sector. Los datos de partida y las variables implicadas en el proceso hacen referencia a la viabilidad técnica, sostenibilidad y coste económico de los forjados a través de la incorporación de ratios específicos que evalúan la idoneidad de cada solución. El método aquí expuesto pretende servir de ayuda para el profesional de la construcción que necesite seleccionar aquellos forjados de coste óptimo que proporcionen el menor impacto medioambiental

Selección de forjados unidireccionales con criterios técnicos, económicos y sostenibles

This paper presents a method for finding the optimal floor slabs according to the requirements of the Spanish Building Code (CTE), the Spanish Structural Concrete Code (EHE-08) and good building practices. This method is applied to the case of one-way floor slabs with on-site cast ribs according with the characteristics and performance parameters usually offered by firms in the industry. The initial data and the variables involved in the process cover the technical viability, sustainability and monetary cost of slabs by incorporating specific ratios to assess the suitability of each solution. The method set out here may prove helpful to construction specialists who need to select optimal-cost floor slabs with the lowest environmental impacts.<br><br>En este artículo se presenta un método para la búsqueda de forjados óptimos tomando en cuenta las exigencias del Código Técnico de la Edificación, CTE, de la Instrucción de Hormigón Estructural, EHE-08, y de la buena práctica constructiva. Esta metodología se aplica al caso de forjados unidireccionales con nervio hormigonado <i>in situ</i> de acuerdo a las características y prestaciones habituales que ofertan las empresas del sector. Los datos de partida y las variables implicadas en el proceso hacen referencia a la viabilidad técnica, sostenibilidad y coste económico de los forjados a través de la incorporación de ratios específicos que evalúan la idoneidad de cada solución. El método aquí expuesto pretende servir de ayuda para el profesional de la construcción que necesite seleccionar aquellos forjados de coste óptimo que proporcionen el menor impacto medioambiental

Periglacial environments and frozen ground in the central Pyrenean high mountain area: Ground thermal regime and distribution of landforms and processes

Producción CientíficaThe periglacial belt is located in the highest parts of temperate mountains. The balance between mean air and ground temperatures and the presence of water determine the effectiveness of periglacial processes related to permafrost, the active layer or seasonally frozen ground (SFG). This study combines thermal and geomorphological data obtained in four Pyrenean massifs (Infierno‐Argualas, Posets, Maladeta and Monte Perdido) to improve knowledge on the occurrence and distribution of frozen ground. The methodology used is based on the study of landforms as frozen ground indicators, mapping processes, ground temperature analysis, basal temperature of snow, thermal mapping and geomatic surveys on rock glaciers and protalus lobes. In the Pyrenean high mountain areas the lower limit of frozen ground is at ~2,650m a.s.l., possible permafrost appears above 2,650m a.s.l. on north‐ and south‐facing slopes, and probable permafrost is dominant above 2,900m a.s.l. Unfrozen ground with cold‐associated geomorphological processes reach 2,900m a.s.l. and unfrozen and frozen ground distribution points to a patchy pattern throughout the periglacial belt. The most widespread frozen grounds are SFG. The thermal data, mean annual ground temperature, cold season temperatures, bottom temperature snow measurements, freeze/thaw cycles and distribution of landforms permit the establishment of a periglacial land system divided into three main belts: infraperiglacial, middle periglacial and supraperiglacial. The large number of processes and landforms that are involved and their altitudinal and spatial organization make up a complex environment that determines the geoecological dynamics of high mountain areas.Ministerio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (projects CGL2015-68144-R / GL2017- 82216-R

Fine tuning straightening process using genetic algorithms and finite element methods

The process of straightening steel sections is used not only to actually straighten the product but also to reduce its internal residual stresses. Fine tuning this process within an industrial plant is complicated because of the time needed for conducting the tests and the difficulties in measuring the final residual stresses. This paper presents a methodology based on genetic algorithms and finite element analysis that seeks the best position of the rollers to produce a straightened product with the minimum amount of residual stresses. The process consists of simulating multiple roller positions using a previously validated finite element model and analysing the resulting residual stresses. Genetic programming is used to choose the best solutions that will give rise to the next generation of individuals. For several generations, the system combines a series of optimum solutions in which residual solutions are minimised. The best solutions obtained enable the rollers to be positioned in a way that guarantees a good end quality for the product. © 2010 Institute of Materials, Minerals and Mining

Advanced predictive system using artificial intelligence for cleaning of steel coils

This paper presents a system based on data mining and statistical modelling tools that permits the prediction of the development of oxide scale defects in high quality flat products after the steel industrys hot strip mill process (HSM), but before the coil becomes processed on the pickling line (PL). The economic impact of the improvement provided by such a system can be valued at several million US dollars per year, because it makes it possible to downgrade materials at an early stage, avoiding additional processes like coating, etc. It also enables the speed of the PL, which is usually seen as a bottleneck in these facilities, to be increased. The learning process of the model presented here is based on automatic surface-inspection systems, as well as processing parameters at the HSM and PL to capture the essentials of the cleaning process itself, and also the main factors in scale production. The system proposed currently which is configured as a multi-agent system, is the first for this particular purpose, although the steel industry uses many other models and systems to predict other properties (e.g., mechanical properties) or the best operating parameters (e.g., forces, temperatures) for processe