RESUMENSe propone una expresión para estimar el desplazamiento de Newmark en términos de la relación entre la aceleración crítica, a c (umbral de aceleración del suelo para iniciar un movimiento del talud) y la aceleración máxima del suelo, a max , para obtener el deslizamiento traslacional de laderas por sismo que de manera aproximada estimen esta amenaza a escala regional. Con los resultados que se obtienen de la ecuación de desplazamiento propuesta es posible definir un mapa de peligro por deslizamiento traslacional a nivel regional inducido por sismos. Para llevar a cabo lo anterior, se asumen valores promedio de propiedades mecánicas del suelo como la cohesión, peso volumétrico y ángulo de fricción a partir de mapas geológicos y litológicos a escala 1:1'000,000, así como la pendiente de deslizamiento potencial a partir de modelos de elevación digital del terreno. Se presenta un mapa de peligro de deslizamiento de la República Mexicana asociado a la aceleración máxima del suelo que se presenta con un periodo de retorno de 150 años, y un ejemplo de un mapa empleando como detonador el sismo de Tecomán en Colima de magnitud M=7.6 ocurrido el 21 de enero de 2003; este ejemplo se compara con el obtenido a través del método Mora-Vahrson que es ampliamente utilizado para elaborar este tipo de mapas de deslizamientos.Palabras clave: mapas de deslizamiento traslacional; desplazamiento de Newmark; intensidad sísmica; evaluación del peligro por deslizamiento
ABSTRACTWe propose to obtain translational landslides due to earthquake in Mexico estimating Newmark displacements in terms of the relationship between the critical acceleration, a c (the peak ground acceleration threshold to start the landslide) and the peak ground acceleration, a max . With the obtained results from a proposed displacement equation it is possible to define a translational landslide map at regional level induced by earthquakes. Soil parameters such as cohesion, volumetric weight and angle of friction are inferred from geological maps, scale 1:1'000,000, and a digital elevation map is employed to obtain the slope of the potential landslide. We present a landslide hazard map for Mexico associated to a peak strong ground motion acceleration with a return period of 150 years at regional level, and an example map of displacements triggered by the Artículo recibido el 15 de febrero de 2011 y aprobado para su publicación el 27 de agosto de 2013. Se aceptarán comentarios y/o discusiones hasta cinco meses después de su publicación.(1)
Concerns about prolonged downtime and functionality losses observed after recent seismic events have made it clear that seismic design is heading towards a resilience-based approach. However, there is still currently no clear consensus on how to quantify and interpret resilience. In this document, a probabilistic approach to estimate recovery times and functionality loss in buildings is presented, which allows for the estimation of seismic resilience through consideration of delay times and the behavior of non-structural elements. To achieve these goals, simple models that associate structural response and the resilience parameters (recovery time and functionality) are defined. The proposed approach was implemented in a database for public school buildings in Puebla City, where the expected times and functionality were obtained, thus allowing for quantification of the seismic resilience of each structure. Furthermore, target values for low and high resilience are proposed, which helps to identify the weakest elements in the educative Mexican infrastructure. The results showed that the inclusion of delay times and non-structural elements in resilience quantification is mandatory if an overestimation of resilience values is to be avoided. At the same time, the target values allow for the different structures to be categorized according to the resilience values obtained, finding that a significant portion of Mexican school buildings are underprepared in a resilience context.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.