Browsing by Author "Samaniego, Esteban"

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AES for multiscale localization modeling in granular media
(2011-08-01) Chen, Q.; Andrade, J. E.; Samaniego, Esteban
This paper presents a sharp discontinuity multiscale approach to address key challenges in tracking the behavior modeling granular media: accommodation discontinuities in the kinematic fields, and the direct link to the underlying grain scale information. Concepts assumed enhanced strain (AES) are taken to improve elements of the post-localization analysis, but reformulated in a hierarchical multiscale computational framework recently proposed. Unlike traditional methods of AES, in material properties are usually constant or assumed to evolve with some arbitrary phenomenological laws, the framework provides a bridge to extract key parameters evolutions of material, such as friction and dilatancy based data of computational or experimental scale grain. More importantly, the softening module phenomenological methods typically used in AES is no longer necessary. Numerical examples of plane strain compression tests are presented to illustrate the applicability of this method and analyze numerical performance.
Caracterización de Líneas de Investigación de la Universidad de Cuenca
(Universidad de Cuenca, 2013-06-17) Dirección de Investigación de la Universidad de Cuenca; DIUC; Bermúdez, Fernando Gerardo; Castro, Cecilia; Bojorque Iñeguez, Jaime Asdrúbal; Samaniego, Esteban; Borrero Vega, Ana Luz; Cuesta Delgado, Daniel; Quinde Herrera, Karina; Pozo Rodríguez, Santiago Estuardo
Este documento tiene como objetivo realizar algunas definiciones relacionadas con el concepto de línea de investigación. Estas definiciones son fundamentalmente de carácter instrumental y apuntan a la creación de mecanismos institucionales de puesta en marcha y consolidación de procesos de investigación a largo plazo en la Universidad de Cuenca. La Dirección de Investigación de la Universidad de Cuenca (DIUC) ha decidido centrar sus esfuerzos en el desarrollo de líneas como una forma de dotar de claridad, coherencia y continuidad en el tiempo a las actividades de los grupos de investigación de nuestra institución. Se busca ante todo coordinar las iniciativas individuales y colectivas para potenciarlas mediante políticas apropiadas.
Discontinuous modelling of shear bands using adaptive meshfree methods
(2008-01-15) Samaniego, Esteban; Rabczuk, Timon
A simple methodology to model shear bands as strong displacement discontinuities in an adaptive meshfree method is presented. The shear band is represented by a displacement jump at discrete particle positions. The displacement jump in normal direction is suppressed with penalty method. Loss of material stability is used as transition criterion from continuum to discontinuum. The method is twoand three-dimensional. Examples of complicated shear banding including transition from brittle-to-ductile failure are studied and compared to experimental data and other examples from the literature.
Prototipos virtuales para la industrialización abierta de la construcción: un caso de estudio
(Universidad de Cuenca, 2014) Samaniego, Pedro; Samaniego, Esteban; Samaniego, Augusto; Astudillo, Francisco; Díaz, Michelle; Cordero, Dolores; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
Industrialization has not yet had a notorious impact in the construction sector. Inefficiencies associated with the lack of reliable tools to simulate the building process are pervasive. Here, we adopt the so-called open-industrialization paradigm and use virtual prototyping to study a specific construction system. We explore the possibilities of this system and show the capabilities of virtual building modeling to detect inconsistencies when prefabricated elements are integrated.
Simplificación del proceso complejo de reducción de escala de los modelos climáticos globales por medio de la aplicación web SDW
(Universidad de Cuenca, 2014-12) Gualán, Ronald; Sánchez, Esteban; Campozano, Lenin; Samaniego, Esteban; Vázquez, Angel; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
The generation of climate change scenarios is based on the results of global climate models (GCM), which because of their low resolution require the use of downscaling techniques to assess the impact at local scale. Of the downscaling techniques, based either on the use of regional climate models or statistical methods defining the statistical relationship between synoptic climate variables and observations, previous studies revealed that statistical approaches most accurately predict future climate variables in mountainous areas, such as the Andes mountain range. To standardize and facilitate the assessment of the uncertainty between GCM models of future climate, greenhouse gas scenarios, and downscaling techniques, a versatile tool would be most appropriate and helpful. This paper presents the development, implementation and use of a web application that integrates all the steps in downscaling, it is from the search, analysis and storage of data, the selection, calibration and validation of models, up to downscaled outputs. The presented tool could easily be linked to a decision support system for climate change adaptation.