Browsing by Author "García, David"
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Item Comparison between experimental values and standards on natural stone masonry mechanical properties(2012-03) García, David; San-José, José T.; Garmendia, Leire; Larrinaga, Pello; TRAZABILIDAD CIRCULAR; Tecnalia Research & InnovationThe research presented in this paper investigates the mechanical properties under compressive loads of a natural stone masonry. Selected materials and arrangement are typical from the Romanesque period, the main architectural style in Europe from the 9th to the 13th centuries, found both in heritage and conventional buildings. The characterisation of the basic materials and different stone masonry prisms are included. Sandstone and low strength lime-cement mortar were used for this experimental work because of their availability and similarity with the masonry found in many historic buildings from the North of Spain. The morphological characteristics of the original ancient walls were also taken into account, in order to manufacture prism specimens that were as representative as possible of the Spanish Romanesque typology (i.e. in terms of its geometry, composition of the internal core, relative size, etc.). The experimental values were compared with the analytical ones provided by other author's equations, codes and main standards. The differences on the obtained results are analysed and the more suitable formulae are identified. The results permit a better understanding of these materials and a reliable source of data for the validation of the existing structures.Item Experimental study of traditional stone masonry under compressive load and comparison of results with design codes(2012-07) García, David; San-José, José T.; Garmendia, Leire; San-Mateos, Rosa; TRAZABILIDAD CIRCULAR; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESThis study addressed the mechanical behaviour of a natural stone masonry typical from the Spanish Romanesque, both in Heritage and conventional buildings. The objective of this research was to provide new data about the mechanical properties, especially the compressive strength values. The characterisation of the basic materials and different stone masonry prisms is presented. Sandstone and low strength lime-cement mortar were used for this experimental work, because of their availability and similarity with the masonry found in many historic buildings from the north of Spain. The morphological characteristics of the original ancient walls were also taken into account, in order to manufacture prism specimens that were as representative as possible of the Spanish Romanesque typology (i.e. in terms of its geometry, composition of the internal core, relative size, etc.). Additionally the experimental values were compared with the analytical ones provided by the main recommendations and standards. The analysis of the results permits a better understanding of these materials and a reliable source of data for the validation of the existing structures.Item Innovative strengthening solution based on Textile Reinforced Mortar for stone masonry arches(2010) Garmendia, Leire; San-José, José Tomás; García, David; Larrinaga, Pello; Díez, Jesús; Tecnalia Research & Innovation; TRAZABILIDAD CIRCULAR; E&I SEGURAS Y RESILIENTESThis paper aims to present the design, strengthening and testing of full scale masonry walls and arches. The preservation of our cultural heritage is a really important topic. Majority of masonry structures are deteriorated because of ageing effects, load increments, movements at their foundations, etc. Because of this, retrofitting is needed. In order to afford this problem, a compatible and minimally invasive strengthening technique based on Textile Reinforced Mortar (TRM) is developed. The experimental campaign consists of the characterisation of the constitutive materials of the stone structures and the strengthening textile and mortar (TRM has been characterised by pure tensile tests). Furthermore, the influence of the different arrangements of the masonry and mortar type has been analysed by testing 24 masonry prisms. Finally, 12 full-scale stone arches have been erected, strengthened and tested. The purpose is to compare the mechanical behaviour up to failure of both unstrengthened and strengthened structures. During the tests the effectiveness of the technique has been proved being the ultimate load up to 21 times higher.Item Priorización para la rehabilitación de edificaciones en el centro histórico de la habana(2014) Piñero, Ignacio; García, David; Nicolás, Olatz; De La Cruz, Raimundo; San-José, José T.; E&I SEGURAS Y RESILIENTES; TRAZABILIDAD CIRCULAR; LABORATORIO DE TRANSFORMACIÓN URBANAItem A statistical recommendation model of mobile services based on contextual evidences(2012-01) Picón, Artzai; Rodríguez-Vaamonde, Sergio; Jaén, Javier; Mocholi, Jose Antonio; García, David; Cadenas, Alejandro; COMPUTER_VISION; Tecnalia Research & InnovationMobile devices are undergoing great advances in recent years allowing users to access an increasing number of services or personalized applications that can help them select the best restaurant, locate certain shops, choose the best way home or rent the best film. However this great quantity of services does not require the user to find and select those services needed for each specific situation. The classical approaches link some preferences to certain services, include the recommendations given by other users or even include certain fixed rules in order to choose the most appropriate services. However, since these methods assume that user needs can be modelled by fixed rules or preferences, they fail when modelling different users or makes them difficult to train. In this paper we propose a new algorithm that learns from the user's actions in different contextual situations, which allows to properly infer the most appropriate recommendations for a user in a specific contextual situation. This model, by using of a double knowledge diffusion approach, has been specifically designed to face the inherent lack of learning evidences, computational cost and continuous training requirements and, therefore, overcomes the performance and convergence rates offered by other learning methodologies.