Análisis teórico-experimental de pilares y vigas de hormigón armado reforzados con fibra de carbono

El presente trabajo se refiere al estudio teórico-experimental del comportamiento de pilares y vigas de hormigón armado reforzados con fibra de carbono o CFRP. El análisis se realiza considerando que los pilares se refuerzan mediante la técnica de adhesión de tejidos de fibra de carbono, generando un efecto de confinamiento. Las vigas se refuerzan mediante la incorporación de barras del mismo material, con refuerzos a cortante. El objetivo es poder comparar el estudio analítico de este tipo de refuerzos con resultados experimentales obtenidos con anterioridad a la realización de este documento, y así poder obtener conclusiones de las posibles diferencias. Hay que señalar que los modelos experimentales no forman parte de este estudio. Los ensayos en pilares fueron realizados en sección cuadrada y circular evaluando la rotura a compresión de las piezas, habiendo sido éstas escaladas con un factor de reducción de 2,3. Los ensayos correspondientes a vigas se realizaron en sección rectangular, centrándose en la evaluación de la rotura a flexión y habiendo sido escaladas igualmente, pero con un factor de reducción de 1:2. El documento se estructura en cuatro capítulos, cuyo contenido se expone de forma concisa a continuación. En el capítulo uno o marco teórico se exponen los principios de comportamiento y tipologías de los pilares y vigas de hormigón armado, las bases teóricas de su refuerzo y confinamiento, así como las diversas técnicas de refuerzo existentes. Se detalla la técnica con FRP, comparando y analizando sus ventajas e inconvenientes. En el capítulo dos se expone el proceso de fabricación, refuerzo y resultados de los modelos experimentales realizados para ambos elementos estructurales. La obtención de los modelos teóricos forma parte del capítulo tres, comparándose con los resultados experimentales en el cuarto capítulo. Finalmente, en el último capítulo se presentan las conclusiones obtenidas al realizar esta comparativa en el refuerzo de vigas y pilares con fibra de carbono. This work refers to the theoretical and experimental study of the behavior of CFRP reinforced concrete columns and beams. The analysis was done considering that the pillars are reinforced by CFRP wrapping technique, resulting in a confinement effect. The beams are reinforced by the addition of bars of the same material, with shear reinforcements. The objective is to compare the analytical study of this type of reinforcement with experimental results obtained prior to the performance of this document, and draw conclusions for any differences. Notice that experimental models are not part of this study. The tests were performed on circular and square section pillars, evaluating compression fracture of the pieces, having been scaled down with a factor of 2.3. The tests were performed on rectangular section beams, focusing on evaluation of the bending fracture and being scaled down equally, but with a factor of 1:2. The document is divided into four chapters, whose content is set out concisely below. The chapter one or theoretical framework sets out the principles of behavior and types of columns and beams of reinforced concrete, the theoretical basis of its reinforcement and confinement, as well as various existing reinforcement techniques. CFRP technique it’s detailed, comparing and analyzing their advantages and disadvantages. Chapter two describes the process of manufacture, reinforcement and results of experimental models made for both structural elements. Chapter three shows the obtaining of the theoretical models, comparing them with the experimental results in the fourth chapter. Finally, the last chapter presents the conclusions to make this comparison in the strengthening of beams and columns with carbon fiber.

A new set of relativistic screening constants for the screened hydrogenic model

AnewRelativisticScreenedHydrogenicModel has been developed to calculate atomic data needed to compute the optical and thermodynamic properties of high energy density plasmas. The model is based on anewset of universal screeningconstants, including nlj-splitting that has been obtained by fitting to a large database of ionization potentials and excitation energies. This database was built with energies compiled from the National Institute of Standards and Technology (NIST) database of experimental atomic energy levels, and energies calculated with the Flexible Atomic Code (FAC). The screeningconstants have been computed up to the 5p3/2 subshell using a Genetic Algorithm technique with an objective function designed to minimize both the relative error and the maximum error. To select the best set of screeningconstants some additional physical criteria has been applied, which are based on the reproduction of the filling order of the shells and on obtaining the best ground state configuration. A statistical error analysis has been performed to test the model, which indicated that approximately 88% of the data lie within a ±10% error interval. We validate the model by comparing the results with ionization energies, transition energies, and wave functions computed using sophisticated self-consistent codes and experimental data.

Characterization Of Friction Stir Welded Joints Of Aa 2024-T351 - Native Vs. Treated By Laser Shock Processing

The paper presents a consistent set of results showing the ability of Laser Shock Processing (LSP) in modifying the overall properties of the Friction Stir Welded (FSW) joints made of AA 2024-T351. Based on laser beam intensities above 109 W/cm2 with pulse energies of several Joules and pulses durations of nanoseconds, LSP is able of inducing a compression residual stress field, improving the wear and fatigue resistance by slowing crack propagation and stress corrosion cracking, but also improving the overall behaviour of the structure. After the FSW and LSP procedures are briefly presented, the results of micro-hardness measurements and of transverse tensile tests, together with the corrosion resistance of the native joints vs. LSP treated are discussed. The ability of LSP to generate compressive residual stresses and to improve the behaviour of the FSW joints is underscored.

A set of canonical problems in sloshing. Part 0: Experimental setup and data processing

In a series of attempts to research and document relevant sloshing type phenomena, a series of experiments have been conducted. The aim of this paper is to describe the setup and data processing of such experiments. A sloshing tank is subjected to angular motion. As a result pressure registers are obtained at several locations, together with the motion data, torque and a collection of image and video information. The experimental rig and the data acquisition systems are described. Useful information for experimental sloshing research practitioners is provided. This information is related to the liquids used in the experiments, the dying techniques, tank building processes, synchronization of acquisition systems, etc. A new procedure for reconstructing experimental data, that takes into account experimental uncertainties, is presented. This procedure is based on a least squares spline approximation of the data. Based on a deterministic approach to the first sloshing wave impact event in a sloshing experiment, an uncertainty analysis procedure of the associated first pressure peak value is described.

Optimal Multiresolution 3D Level-Set Method for Liver Segmentation incorporating Local Curvature Constraints

Advanced liver surgery requires a precise pre-operative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous level-set algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structures

Bio-inspired FPGA Architecture for Self-Calibration of an Image Compression Core based on Wavelet Transforms in Embedded Systems

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors

We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images.