Mecánica Aplicada

URI permanente para esta comunidad

https://hdl.handle.net/10784/1348

The aim of the group is to research and develop methods for the realistic simulation of physical phenomena through the mathematical modelling of these phenomena and its solution by using analytical, numerical and symbolic methods.

Líneas de investigación: Dinámica de Fluidos Computacional; Ingeniería Sísmica; Mecánica Computacional; Mecánica Experimental; Optimización Estructural.
Código Minciencias: COL0053099.
Categoría 2019: A1.
Escuela: Ingeniería.
Departamento académico: Ingeniería Mecánica.
Coordinadora: Juan Carlos Botero Palacios.
Correo electrónico: jcbotero@eafit.edu.co

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Mostrando 1 - 5 de 5

Características estructurales de escuelas colombianas de pórticos de hormigón reforzado con mampostería no reforzada
(Fondo Editorial Universidad EAFIT, 2017-05-08) Acevedo A.B.; Zora-Mejía, Faver N; Mecánica Aplicada
Assessment of the seismic vulnerability of the building stock of a region is a key issue for its seismic risk evaluation.
Criterios sismológicos para seleccionar acelerogramas reales de la Red Nacional de Acelerógrafos de Colombia para su uso en análisis dinámicos
(Escuela de Ingeniería de Antioquia, 2012-07-01) Acevedo A.B.; Mecánica Aplicada
Utilizar acelerogramas reales para la realización de análisis dinámicos es deseable ya que contienen información real sobre la naturaleza del movimiento fuerte e indican las características variadas que diferentes sismos en lugares diversos pueden produci
Development of structural debris flow fragility curves (debris flow buildings resistance) using momentum flux rate as a hazard parameter
(Elsevier B.V., 2018-05-18) Prieto, Jorge Alonso; Journeay, Murray; Acevedo A.B.; Arbelaez, Juan; Ulmi, Malaika; Mecánica Aplicada
Societal risks associated with debris flow hazards are significant and likely to escalate due to global population growth trends and the compounding effects of climate change. Quantitative risk assessment methods (QRA) provide a means of anticipating the likely impacts and consequences of settlement in areas susceptible to landslide activity and are increasingly being used to inform land use decisions that seek to increase disaster resilience through mitigation and/or adaptation. Current QRA methods for debris flow hazards are based primarily on empirical vulnerability functions that relate hazard intensity (depth, velocity, etc.) to expected levels of loss for a given asset of concern, i.e. most of current methods are dedicated to loss-intensity relations. Though grounded in observed cause-effect relationships, empirical vulnerability functions are not designed to predict the capacity of a building to withstand the physical impacts of a debris flow event, or the related uncertainties associated with modelling building performance as a function of variable debris flow parameters. This paper describes a methodology for developing functions that relate hazard intensity to probability of structural damage, i.e., fragility functions, rather than vulnerability functions, based on the combined hydrodynamic forces of a debris flow event (hazard level) and the inherent structural resistance of building typologies that are common in rural mountainous settings (building performance). Hazard level includes a hydrodynamic force variable (FDF), which accounts for the combined effects of debris flow depth and velocity, i.e. momentum flux (hv2), material density (?) and related flow characteristics including drag (Cd) and impact coefficient (Kd). Building performance is measured in terms of yield strength (Ay), ultimate lateral capacity (AU) and weight to breadth ratios (W/B) defined for a portfolio building types that are common in mountain settlements. Collectively, these model parameters are combined using probabilistic methods to produce building-specific fragility functions that describe the probability of reaching or exceeding successive thresholds of structural damage over a range of hazard intensity values, expressed in terms of momentum flux. Validation of the proposed fragility model is based on a comparison between model outputs and observed cause-effect relationships for recent debris flow events in South Korea and in Colombia. Debris flow impact momentum fluxes, capable of resulting in complete damage to unreinforced masonry buildings (URM) in those regions are estimated to be on the order of 24 m3/s2, consistent with field-based observations. Results of our study offer additional capabilities for assessing risks associated with urban growth and development in areas exposed to debris flow hazards. © 2018 Elsevier B.V.
Experimental Analysis of the Lateral Resistance of a Shear Critical Reinforced Concrete Frame
(Sociedade Portuguesa de Engenharia Sismica (SPES), 2012-09-24) Acevedo A.B.; Bonett, R.L.; Carmona, O.; Acevedo A.B.; Bonett, R.L.; Carmona, O.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Mecánica Aplicada
Flexural behaviour of reinforced concrete (RC) frames is a well-studied topic that has been evaluated both analytical and experimentally. Contrarily, shear failure of RC frames have been studied in a lesser amount
Seismic risk assessment for the residential buildings of the major three cities in Colombia: Bogotá, Medellín, and Cali
(EARTHQUAKE ENGINEERING RESEARCH INST, 2020-01-01) Acevedo A.B.; Yepes-Estrada C.; González D.; Silva V.; Mora M.; Arcila M.; Posada G.; Mecánica Aplicada
This study presents a seismic risk assessment and a set of earthquake scenarios for the residential building stock of the three largest metropolitan centers of Colombia: Bogotá, Medellín and Cali (with 8.0, 2.5, and 2.4 million inhabitants, respectively). A uniform methodology was followed for the development of the seismic hazard, vulnerability, and exposure models, thus allowing a direct comparison between the seismic risk of the different cities. Risk metrics such as exceedance probability curves and average annual losses were computed for each city. The earthquake scenarios were selected considering events whose direct economic impact is similar to the aggregated loss for a probability of exceedance of 10% in 50 years. Results show a higher mean aggregate loss ratio for Cali and similar mean aggregate loss ratios for Bogotá and Medellín. All of the models used in this study are openly accessible, enabling risk modelers, engineers, and stakeholders to explore them for disaster risk management. © The Author(s) 2020.

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