This study develops an end-to-end deep learning framework to learn and analyze ground motions (GMs) through their latent features, achieve reliable GM classification, selection, generation of simulated motions. The is composed analysis workflow that transforms reconstructs GMs short-time Fourier transform (STFT), encodes decodes features convolutional variational autoencoder (CVAE), classifies ...

Brazil is in an intraplate area of low to moderate seismicity, this means that few or no records strong ground motions are available. Part the site response analysis and seismic design structures require use acceleration time-histories compatible with a specified target spectrum. This study aims utilize methodologies based on existing earthquake from well-known database synthetic accelerograms ...