Ortega Chagueza, Jesus G.

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Computational study of foreshocks in the Burridge-Knopoff earthquake model using machine learning
(2023-12-13) Ortega Chagueza, Jesus G.; Ramos , Rafael A.; College of Arts and Sciences - Sciences; Vanacore, Elizabeth; Santana, Samuel; Department of Physics; Almodovar, Israel
The study of mechanical models of earthquake faults is important for understanding the different behaviors observed in real earthquakes. The model considered for this work was introduced by Burridge and Knopoff, consisting of blocks connected by linear springs in contact with a moving rough surface. A numerical simulation of the model was implemented, revealing a variety in event size that follows a power-law distribution. As the next step, a database of artificial earthquakes was created with the purpose of training an artificial neural network (ANN) model capable of estimating the magnitude of the events generated by the simulation. The ANN models show satisfactory results in estimating the magnitude of artificial seismic events; however, there are still significant aspects to be discovered before they can be effectively applied to real seismic events.