Since the decade of the 1990 the neural networks algorithms have been used for compute approximate solutions for different problems in engineering. In the building behavior against loads is important to know its response. The behavior during the earthquakes and the estimation of the response is quite difficult to compute due to the nonlinearity of geometry and material properties. Neural networks approach is a powerful tool for computing the response of structures with an appropriate learning process from big data of structural components. Even if some material parameters are unknown, the learning on a neural network will be possible and will provide an estimation using collect information from experience and learning. To make a learning process in this paper, we present a simple algorithm of back propagation implemented in python programming language where the output shows the decrease ...

The high seismic activity on the Peruvian coast carries a potential risk of tsunamis that could affect the Peruvian coast, causing damage to people and structures. According to studies carried out by CISMID and Fondecyt, approximately 83% of the houses in Metropolitan Lima and Callao are made of masonry, mainly due to its low economic cost. The present experimental study aims to study the behavior of confined masonry walls under the action of perpendicular loads to the wall produced by the impact of tsunami waves, which is a field of research where it is still necessary to delve deeper with experimental studies of the structures under equivalent tsunami loads. As part of the experimental study, 2 confined masonry walls were built, which were tested under the action of perpendicular loads applied by means of hydraulic jacks with a force control simulating the forces induced by a tsunami. ...

In recent years, the development of seismic networks in Metropolitan Lima, administrated by public and private institutions, has received special attention since it makes possible the quantification of different seismic indexes under the occurrence of earthquakes. Therefore, the integration of the information both from acceleration sensors and site conditions from microzoning studies allows the estimation of the possible extent of the damage in quasi-real time. In this study, the implementation of a system to evaluate seismic parameters in a uniform grid of 250 x 250 m2 resolution is reported. In this regard, peak ground acceleration (PGA) values from the available time-history records are computed and reduced to the engineering bedrock level. Then, by means of the interpolation technique called Ordinary Kriging, in which each seismic station is considered as a random variable and the co...