914 resultados para 3D model
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The plastic collapse response of aluminium egg-box panels subjected to out-of-plane compression has been measured and modelled. It is observed that the collapse strength and energy absorption are sensitive to the level of in-plane constraint, with collapse dictated either by plastic buckling or by a travelling plastic knuckle mechanism. Drop weight tests have been performed at speeds of up to 6 m s-1, and an elevation in strength with impact velocity is noted. A 3D finite element shell model is needed in order to reproduce the observed behaviours. Additional calculations using an axisymmetric finite element model give the correct collapse modes but are less accurate than the more sophisticated 3D model. The finite element simulations suggest that the observed velocity dependence of strength is primarily due to strain-rate sensitivity of the aluminium sheet, with material inertia playing a negligible role. Finally, it is shown that the energy absorption capacity of the egg-box material is comparable to that of metallic foams. © 2003 Elsevier Ltd. All rights reserved.
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[EN] Data contained in this record come from the following accademic activity (from which it is possible to locate additional records related with the Monastery):
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[ES] Este proyecto se ha realizado a partir de los datos del siguiente proyecto de documentación geométrica, desde donde pueden encontrarse enlaces adicionales a otros documentos relacionados:
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[ES] El área de trabajo ocupa unos 60 x 60 metros y está situada en la cima del monte Aitz Txiki (Astxiki) en la que se aprecian algunos restos de muros y un aljibe, pertenecientes a una construcción defensiva.
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[ES] La documentación contenida en este registro ha servido de base para el siguiente proyecto fin de carrera:
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[ES] Los resultados obtenidos en este proyecto están basados en otro anterior (2005) que también puede ser consultado en este repositorio:
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[ES] El tramo de muralla se compone de un lienzo recto de unos 40 metros de longitud y entre 6 y 12 metros de altura visible (según los tramos). En el centro de este tramo se encuentra una puerta monumental (denominada Puerta del Camino) a la que se accede por un puente. Este tramo recto se continúa por un cubo cilíndrico de unos 10 metros de radio. Continuando por el otro lado del Cubo la muralla se ha perdido pero se ha realizado una excavación que se extiende otros 30 metros en la que se han encontrado restos de varios sistemas defensivos.
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[ES] Se trata de una estancia de 35 x 9 metros de planta que se organiza con un banco corrido en tres de sus lados con un respaldo a modo de friso y una serie de mesas de madera, cuenta además con varias ventanas y tres lámparas que aportan la iluminación, una puerta de acceso destacada en madera con cancel, púlpito para la lectura y varios cuadros.
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[ES] Ribera es un pueblo abandonado dentro del parque natural de Valderejo, el único edificio que queda en pie es la antigua iglesia. La razón por la que este edificio no fue derribado es la presencia de un conjunto de pinturas murales de época medieval. Por lo demás, el edificio (de unos 25 x 12 metros en planta) se encontraba en un mal estado de conservación (de hecho, un par de años más tarde de la realización de este trabajo se derrumbó la sacristía).
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[ES] El siguiente artículo disponible también en este repositorio muestra información relativa al presente proyecto:
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Compliant foams are usually characterized by a wide range of desirable mechanical properties. These properties include viscoelasticity at different temperatures, energy absorption, recoverability under cyclic loading, impact resistance, and thermal, electrical, acoustic and radiation-resistance. Some foams contain nano-sized features and are used in small-scale devices. This implies that the characteristic dimensions of foams span multiple length scales, rendering modeling their mechanical properties difficult. Continuum mechanics-based models capture some salient experimental features like the linear elastic regime, followed by non-linear plateau stress regime. However, they lack mesostructural physical details. This makes them incapable of accurately predicting local peaks in stress and strain distributions, which significantly affect the deformation paths. Atomistic methods are capable of capturing the physical origins of deformation at smaller scales, but suffer from impractical computational intensity. Capturing deformation at the so-called meso-scale, which is capable of describing the phenomenon at a continuum level, but with some physical insights, requires developing new theoretical approaches.
A fundamental question that motivates the modeling of foams is ‘how to extract the intrinsic material response from simple mechanical test data, such as stress vs. strain response?’ A 3D model was developed to simulate the mechanical response of foam-type materials. The novelty of this model includes unique features such as the hardening-softening-hardening material response, strain rate-dependence, and plastically compressible solids with plastic non-normality. Suggestive links from atomistic simulations of foams were borrowed to formulate a physically informed hardening material input function. Motivated by a model that qualitatively captured the response of foam-type vertically aligned carbon nanotube (VACNT) pillars under uniaxial compression [2011,“Analysis of Uniaxial Compression of Vertically Aligned Carbon Nanotubes,” J. Mech.Phys. Solids, 59, pp. 2227–2237, Erratum 60, 1753–1756 (2012)], the property space exploration was advanced to three types of simple mechanical tests: 1) uniaxial compression, 2) uniaxial tension, and 3) nanoindentation with a conical and a flat-punch tip. The simulations attempt to explain some of the salient features in experimental data, like
1) The initial linear elastic response.
2) One or more nonlinear instabilities, yielding, and hardening.
The model-inherent relationships between the material properties and the overall stress-strain behavior were validated against the available experimental data. The material properties include the gradient in stiffness along the height, plastic and elastic compressibility, and hardening. Each of these tests was evaluated in terms of their efficiency in extracting material properties. The uniaxial simulation results proved to be a combination of structural and material influences. Out of all deformation paths, flat-punch indentation proved to be superior since it is the most sensitive in capturing the material properties.
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[ES] Se trata de los restos de un puente del que persisten los pilares a ambos lados del río Piqueras en su origen, realizados en piedra y con restos del empedrado que formaba el suelo.
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[ES] La iglesia de Santa María tiene una planta de unos 22x18 metros y cuenta con tres pórticos (sur, oeste y norte) así como una espadaña exenta. Adyacente al sudeste se encuentra la ermita de Santa Lucía. Las excavaciones arqueológicas de dos zonas de unos 6 x 3 metros en el interior y el exterior de la iglesia sirven como hilo conductor a las jornadas de puertas abiertas al público.
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The lack of viable methods to map and label existing infrastructure is one of the engineering grand challenges for the 21st century. For instance, over two thirds of the effort needed to geometrically model even simple infrastructure is spent on manually converting a cloud of points to a 3D model. The result is that few facilities today have a complete record of as-built information and that as-built models are not produced for the vast majority of new construction and retrofit projects. This leads to rework and design changes that can cost up to 10% of the installed costs. Automatically detecting building components could address this challenge. However, existing methods for detecting building components are not view and scale-invariant, or have only been validated in restricted scenarios that require a priori knowledge without considering occlusions. This leads to their constrained applicability in complex civil infrastructure scenes. In this paper, we test a pose-invariant method of labeling existing infrastructure. This method simultaneously detects objects and estimates their poses. It takes advantage of a recent novel formulation for object detection and customizes it to generic civil infrastructure scenes. Our preliminary experiments demonstrate that this method achieves convincing recognition results.
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The US National Academy of Engineering recently identified restoring and improving urban infrastructure as one of the grand challenges of engineering. Part of this challenge stems from the lack of viable methods to map/label existing infrastructure. For computer vision, this challenge becomes “How can we automate the process of extracting geometric, object oriented models of infrastructure from visual data?” Object recognition and reconstruction methods have been successfully devised and/or adapted to answer this question for small or linear objects (e.g. columns). However, many infrastructure objects are large and/or planar without significant and distinctive features, such as walls, floor slabs, and bridge decks. How can we recognize and reconstruct them in a 3D model? In this paper, strategies for infrastructure object recognition and reconstruction are presented, to set the stage for posing the question above and discuss future research in featureless, large/planar object recognition and modeling.