GENERATING ARTIFICIAL TIME HISTORIES USING A NEW COMPUTER-BASED ENVIRONMENTAL PLATFORM: OPENSIGNAL

Abstract eng:
The paper is presenting a new artificial time-histories generation model which uses spectrum compatible time-histories, created using a new envelope function that can be used in regions characterized by subduction earthquakes with long duration period and paucity of earthquake records data. The method has been implemented in a new computer-based platform for ground motion processing and selection. The platform is organized into three main modules as follows: Signal Processing is designed for data processing; it allows to open raw data downloaded from main databases all over the world acquiring the principal seismic parameters. Seismic Records Selection evaluates a set of spectra or time-histories data. Various attenuation laws and correlation models are implemented to compute the Conditional Mean Spectrum and the Predicted Mean Spectrum. Real time-histories can be selected and downloaded by PEER and ESMD databases using waveform matching, spectrum matching or energetic methods. A physics-based stochastic model is implemented for the generation of synthetic time-histories as well as a wavelet-based stochastic models for artificial timehistories. Site Response Analysis concerns modelling the local site effects of the ground motion propagation using a hybrid approach based on an equivalent linear model. The soil behavior is modeled assuming that both shear modulus and damping ratio vary with shear strain amplitude. Hence, the hysteretic behavior of the soil is described using the shear modulus degradation and damping ratio curves.

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