Endurance Time Method (ET) is a dynamic analysis in which structures are subjected to intensifying accelerograms that are optimized in a way that seismic performance of structures can be estimated at different hazard levels with the best possible accuracy. For the currently available ET accelerograms, regardless of the shaking characteristic, an excitation level is recognized as a representativ...

Abstract In this study, the effects of selection and scaling procedures earthquake records on dispersion seismic response structures are examined. This is according to Standard No. 2800 code ASCE code. So that during two case studies, seven earthquakes have been selected scaled with spectral acceleration 2800. Besides, a reinforced concrete (RC) bridge 7-story RC building evaluated against eart...

A new earthquake prediction system is presented in this work. This method, based on the application of artificial neural networks, has been used to predict earthquakes in Chile, one of the countries with larger seismic activity. The input values are related to the b-value, the Bath’s law, and the Omori–Utsu’s law, parameters that are strongly correlated with seismicity, as shown in solid previo...

This paper presents the preliminary results of a joint research project about Smart Cities. This project is adopting a multidisciplinary approach that combines artificial intelligence techniques with psychology research to monitor the current state of the city of L’Aquila after the dreadful earthquake of April 2009. This work focuses on the description of a semantic content analysis module. Thi...

In this work, the directionality effects during MW 7.8 earthquake, which occurred in Muisne (Ecuador) on 16 April 2016, were analyzed under two perspectives. The first one deals with influence of these seismic intensity measures (IMs), while second refers to assessment expected damage a specific building located Manta city, Ecuador, as function its azimuthal orientation. records strong motion 2...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

We present a virtual reality simulation of an evacuation caused by a trembling earthquake in a secondary school. The simulation is based on artificial intelligence for which a mathematical model is implemented that controls the behavior of agents that represent the school students in the virtual stage. The simulation allows the interaction with the agents on stage by using the gyroscope of a sm...