40 resultados para Static Bending
em Universidad Politécnica de Madrid
Resumo:
El uso de materiales compuestos para el refuerzo, reparación y rehabilitación de estructuras de hormigón se ha convertido en una técnica muy utilizada en la última década. Con independencia de la técnica del refuerzo, uno de los principales condicionantes del diseño es el fallo de la adherencia entre el hormigón y el material compuesto, atribuida generalmente a las tensiones en la interfaz de estos materiales. Las propiedades mecánicas del hormigón y de los materiales compuestos son muy distintas. Los materiales compuestos comúnmente utilizados en ingeniería civil poseen alta resistencia a tracción y tienen un comportamiento elástico y lineal hasta la rotura, lo cual, en contraste con el ampliamente conocido comportamiento del hormigón, genera una clara incompatibilidad para soportar esfuerzos de forma conjunta. Esta incompatibilidad conduce a fallos relacionados con el despegue del material compuesto del sustrato de hormigón. En vigas de hormigón reforzadas a flexión o a cortante, el despegue del material compuesto es un fenómeno que frecuentemente condiciona la capacidad portante del elemento. Existen dos zonas potenciales de iniciación del despegue: los extremos y la zona entre fisuras de flexión o de flexión-cortante. En el primer caso, la experiencia a través de los últimos años ha demostrado que se puede evitar prolongando el refuerzo hasta los apoyos o mediante el empleo de algún sistema de anclaje. Sin embargo, las recomendaciones para evitar el segundo caso de despegue aún se encuentran lejos de poder prever el fallo de forma eficiente. La necesidad de medir la adherencia experimentalmente de materiales FRP adheridos al hormigón ha dado lugar a desarrollar diversos métodos por la comunidad de investigadores. De estas campañas experimentales surgieron modelos para el pronóstico de la resistencia de adherencia, longitud efectiva y relación tensión-deslizamiento. En la presente tesis se propone un ensayo de beam-test, similar al utilizado para medir la adherencia de barras de acero, para determinar las características de adherencia del FRP al variar la resistencia del hormigón y el espesor del adhesivo. A la vista de los resultados, se considera que este ensayo puede ser utilizado para investigar diferentes tipos de adhesivos y otros métodos de aplicación, dado que representa con mayor realidad el comportamiento en vigas reforzadas. Los resultados experimentales se trasladan a la comprobación del fallo por despegue en la región de fisuras de flexión o flexión cortante en vigas de hormigón presentando buena concordancia. Los resultados condujeron a la propuesta de que la limitación de la deformación constituye una alternativa simple y eficiente para prever el citado modo de fallo. Con base en las vigas analizadas, se propone una nueva expresión para el cálculo de la limitación de la deformación del laminado y se lleva a cabo una comparación entre los modelos existentes mediante un análisis estadístico para evaluar su precisión. Abstract The use of composite materials for strengthening, repairing or rehabilitating concrete structures has become more and more popular in the last ten years. Irrespective of the type of strengthening used, design is conditioned, among others, by concrete-composite bond failure, normally attributed to stresses at the interface between these two materials. The mechanical properties of concrete and composite materials are very different. Composite materials commonly used in civil engineering possess high tensile strength (both static and long term) and they are linear elastic to failure, which, in contrast to the widely known behavior of concrete, there is a clear incompatibility which leads to bond-related failures. Bond failure in the composite material in bending- or shear-strengthened beams often controls bearing capacity of the strengthened member. Debonding failure of RC beams strengthened in bending by externally-bonded composite laminates takes place either, at the end (plate end debonding) or at flexure or flexure-shear cracks (intermediate crack debonding). In the first case, the experience over the past years has shown that this can be avoided by extending laminates up to the supports or by using an anchoring system. However, recommendations for the second case are still considered far from predicting failure efficiently. The need to experimentally measure FRP bonding to concrete has induced the scientific community to develop test methods for that purpose. Experimental campaigns, in turn, have given rise to models for predicting bond strength, effective length and the stress-slip relationship. The beam-type test proposed and used in this thesis to determine the bonding characteristics of FRP at varying concrete strengths and adhesive thicknesses was similar to the test used for measuring steel reinforcement to concrete bonding conditions. In light of the findings, this test was deemed to be usable to study different types of adhesives and application methods, since it reflects the behavior of FRP in strengthened beams more accurately than the procedures presently in place. Experimental results are transferred to the verification of peeling-off at flexure or flexure-shear cracks, presenting a good general agreement. Findings led to the conclusion that the strain limitation of laminate produces accurate predictions of intermediate crack debonding. A new model for strain limitation is proposed. Finally, a comprehensive evaluation based on a statistical analysis among existing models is carried out in order to assess their accuracy.
Resumo:
Non-destructive, visual evaluation and mechanical testing techniques were used to assess the structural properties of 374 samples of chestnut (Castanea sativa). The principal components method was applied to establish and interpret correlations between variables obtained of modulus of elasticity, bending strength and density. The static modulus of elasticity presented higher correlation values than those obtained using non-destructive methods. Bending strength presented low correlations with the non-destructive parameters, but there was some relation to the different knot ratios defined. The relationship was stronger with the most widely used ratio, CKDR. No significant correlations were observed between any of the variables and density.
Resumo:
La norma UNE-EN 13374 “Sistemas provisionales de protección de borde. Especificaciones del producto, métodos de ensayo” (1) clasifica los sistemas provisionales de protección de borde (SPPB) en tres clases (A, B y C), en función del ángulo de la superficie de trabajo y de la altura de caída de la persona a proteger. Los sistemas clase A son los indicados cuando la inclinación de la superficie de trabajo es menor de 10º. La norma establece los requisitos de flecha y de resistencia de los SPPB. Los requisitos se pueden comprobar tanto analítica como experimentalmente. El objetivo del trabajo ha sido la evaluación del comportamiento de los SPPB utilizados habitualmente en las obras y establecer los cambios necesarios para que cumplan con la norma UNE-EN 13374. Para ello se han evaluado analítica y experimentalmente tres SPPB clase A, fabricados con acero S235. Los resultados obtenidos muestran que, el sistema empleado de forma habitual en obras no supera los requisitos de la norma ni analítica ni experimentalmente. El tercer sistema supera los requisitos con las dos metodologías de análisis. El segundo sistema supera los requisitos cuando la evaluación se realiza analíticamente pero no cuando la vía utilizada es la experimental.
Resumo:
In this paper, we describe our research on bio-inspired locomotion systems using deformable structures and smart materials, concretely shape memory alloys (SMAs). These types of materials allow us to explore the possibility of building motor-less and gear-less robots. A swimming underwater fish-like robot has been developed whose movements are generated using SMAs. These actuators are suitable for bending the continuous backbone of the fish, which in turn causes a change in the curvature of the body. This type of structural arrangement is inspired by fish red muscles, which are mainly recruited during steady swimming for the bending of a flexible but nearly incompressible structure such as the fishbone. This paper reviews the design process of these bio-inspired structures, from the motivations and physiological inspiration to the mechatronics design, control and simulations, leading to actual experimental trials and results. The focus of this work is to present the mechanisms by which standard swimming patterns can be reproduced with the proposed design. Moreover, the performance of the SMA-based actuators’ control in terms of actuation speed and position accuracy is also addressed.
Resumo:
Synthetic Aperture Radar (SAR) images a target region reflectivity function in the multi-dimensional spatial domain of range and cross-range with a finer azimuth resolution than the one provided by any on-board real antenna. Conventional SAR techniques assume a single reflection of transmitted waveforms from targets. Nevertheless, new uses of Unmanned Aerial Vehicles (UAVs) for civilian-security applications force SAR systems to work in much more complex scenes such as urban environments. Consequently, multiple-bounce returns are additionally superposed to direct-scatter echoes. They are known as ghost images, since they obscure true target image and lead to poor resolution. All this may involve a significant problem in applications related to surveillance and security. In this work, an innovative multipath mitigation technique is presented in which Time Reversal (TR) concept is applied to SAR images when the target is concealed in clutter, leading to TR-SAR technique. This way, the effect of multipath is considerably reduced ?or even removed?, recovering the lost resolution due to multipath propagation. Furthermore, some focusing indicators such as entropy (E), contrast (C) and Rényi entropy (RE) provide us with a good focusing criterion when using TR-SAR.
Resumo:
Effective static analyses have been proposed which infer bounds on the number of resolutions. These have the advantage of being independent from the platform on which the programs are executed and have been shown to be useful in a number of applications, such as granularity control in parallel execution. On the other hand, in distributed computation scenarios where platforms with different capabilities come into play, it is necessary to express costs in metrics that include the characteristics of the platform. In particular, it is specially interesting to be able to infer upper and lower bounds on actual execution times. With this objective in mind, we propose an approach which combines compile-time analysis for cost bounds with a one-time profiling of a given platform in order to determine the valúes of certain parameters for that platform. These parameters calibrate a cost model which, from then on, is able to compute statically time bound functions for procedures and to predict with a significant degree of accuracy the execution times of such procedures in that concrete platform. The approach has been implemented and integrated in the CiaoPP system.
Resumo:
Modeling the evolution of the state of program memory during program execution is critical to many parallehzation techniques. Current memory analysis techniques either provide very accurate information but run prohibitively slowly or produce very conservative results. An approach based on abstract interpretation is presented for analyzing programs at compile time, which can accurately determine many important program properties such as aliasing, logical data structures and shape. These properties are known to be critical for transforming a single threaded program into a versión that can be run on múltiple execution units in parallel. The analysis is shown to be of polynomial complexity in the size of the memory heap. Experimental results for benchmarks in the Jolden suite are given. These results show that in practice the analysis method is efflcient and is capable of accurately determining shape information in programs that créate and manipúlate complex data structures.
Resumo:
Predicting statically the running time of programs has many applications ranging from task scheduling in parallel execution to proving the ability of a program to meet strict time constraints. A starting point in order to attack this problem is to infer the computational complexity of such programs (or fragments thereof). This is one of the reasons why the development of static analysis techniques for inferring cost-related properties of programs (usually upper and/or lower bounds of actual costs) has received considerable attention.
Resumo:
We propose a general framework for assertion-based debugging of constraint logic programs. Assertions are linguistic constructions for expressing properties of programs. We define several assertion schemas for writing (partial) specifications for constraint logic programs using quite general properties, including user-defined programs. The framework is aimed at detecting deviations of the program behavior (symptoms) with respect to the given assertions, either at compile-time (i.e., statically) or run-time (i.e., dynamically). We provide techniques for using information from global analysis both to detect at compile-time assertions which do not hold in at least one of the possible executions (i.e., static symptoms) and assertions which hold for all possible executions (i.e., statically proved assertions). We also provide program transformations which introduce tests in the program for checking at run-time those assertions whose status cannot be determined at compile-time. Both the static and the dynamic checking are provably safe in the sense that all errors flagged are definite violations of the pecifications. Finally, we report briefly on the currently implemented instances of the generic framework.
Resumo:
Abstract is not available
Resumo:
Effective static analyses have been proposed which infer bounds on the number of resolutions or reductions. These have the advantage of being independent from the platform on which the programs are executed and have been shown to be useful in a number of applications, such as granularity control in parallel execution. On the other hand, in distributed computation scenarios where platforms with different capabilities come into play, it is necessary to express costs in metrics that include the characteristics of the platform. In particular, it is specially interesting to be able to infer upper and lower bounds on actual execution times. With this objective in mind, we propose an approach which combines compile-time analysis for cost bounds with a one-time profiling of the platform in order to determine the valúes of certain parameters for a given platform. These parameters calíbrate a cost model which, from then on, is able to compute statically time bound functions for procedures and to predict with a significant degree of accuracy the execution times of such procedures in the given platform. The approach has been implemented and integrated in the CiaoPP system.
Resumo:
Effective static analyses have been proposed which allow inferring functions which bound the number of resolutions or reductions. These have the advantage of being independent from the platform on which the programs are executed and such bounds have been shown useful in a number of applications, such as granularity control in parallel execution. On the other hand, in certain distributed computation scenarios where different platforms come into play, with each platform having different capabilities, it is more interesting to express costs in metrics that include the characteristics of the platform. In particular, it is specially interesting to be able to infer upper and lower bounds on actual execution time. With this objective in mind, we propose a method which allows inferring upper and lower bounds on the execution times of procedures of a program in a given execution platform. The approach combines compile-time cost bounds analysis with a one-time profiling of the platform in order to determine the values of certain constants for that platform. These constants calibrate a cost model which from then on is able to compute statically time bound functions for procedures and to predict with a significant degree of accuracy the execution times of such procedures in the given platform. The approach has been implemented and integrated in the CiaoPP system.
Resumo:
The analysis of modes and natural frequencies is of primary interest in the computation of the response of bridges. In this article the transfer matrix method is applied to this problem to provide a computer code to calculate the natural frequencies and modes of bridge-like structures. The Fortran computer code is suitable for running on small computers and results are presented for a railway bridge.
Resumo:
The use of seismic hysteretic dampers for passive control is increasing exponentially in recent years for both new and existing buildings. In order to utilize hysteretic dampers within a structural system, it is of paramount importance to have simplified design procedures based upon knowledge gained from theoretical studies and validated with experimental results. Non-linear Static Procedures (NSPs) are presented as an alternative to the force-based methods more common nowadays. The application of NSPs to conventional structures has been well established; yet there is a lack of experimental information on how NSPs apply to systems with hysteretic dampers. In this research, several shaking table tests were conducted on two single bay and single story 1:2 scale structures with and without hysteretic dampers. The maximum response of the structure with dampers in terms of lateral displacement and base shear obtained from the tests was compared with the prediction provided by three well-known NSPs: (1) the improved version of the Capacity Spectrum Method (CSM) from FEMA 440; (2) the improved version of the Displacement Coefficient Method (DCM) from FEMA 440; and (3) the N2 Method implemented in Eurocode 8. In general, the improved version of the DCM and N2 methods are found to provide acceptable accuracy in prediction, but the CSM tends to underestimate the response.
Resumo:
Algorithms for distributed agreement are a powerful means for formulating distributed versions of existing centralized algorithms. We present a toolkit for this task and show how it can be used systematically to design fully distributed algorithms for static linear Gaussian models, including principal component analysis, factor analysis, and probabilistic principal component analysis. These algorithms do not rely on a fusion center, require only low-volume local (1-hop neighborhood) communications, and are thus efficient, scalable, and robust. We show how they are also guaranteed to asymptotically converge to the same solution as the corresponding existing centralized algorithms. Finally, we illustrate the functioning of our algorithms on two examples, and examine the inherent cost-performance tradeoff.