In this paper, the use of wavelet analysis and artificial neural networks for generating artificial earthquake accelerograms from target spectrum is suggested as a new method. This procedure uses the learning capabilities of neural network to expand the knowledge of the inverse mapping from response spectrum to earthquake accelerogram. In the first step, wavelet analysis is used to decompose ea...

A brief review is presented of the Los Angeles and Vicinity Strong Motion Network operated by the University of Southern California (USC), consisting of 80 stations deployed in 1978-1980, and of software developed and used at USC for digitization of accelerograms recorded on film, and for routine and specialized data processing of digitized or digitally recorded accelerograms. The currently use...

Common problems encountered in automatic digitization of strong motion accelerograms, recorded on film, are presented and discussed. These include synchronization of the time scale for the three components of motion, non-uniform film speed, trace following in case of scratches or trace crossings, distortions from high contrast preprocessing of the scanned image, and trace “rotation” resulting f...

A technique is developed to model instrumented buildings with a second-generation performance-based earthquake engineering approach, producing a damage and loss estimate shortly after the cessation of strong motion. It estimates the likely locations of damage (including concealed structural damage), potentially saving the owner time and money by focusing post-earthquake safety and repair inspec...

The accurate modelling of seismic load is a major topic that has raised particular interest in the literature in the recent years. One of the reasons is the advent of performance based earthquake engineering (PBEE) that has become the state of the art for both civil and nuclear structures. The PBEE generally requires transient analysis in order to evaluate the seismic fragility of structures an...

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. A heuristic technique is developed for the estimation of auto-spectra and cross-spectra of multivariate nonstationary random processes which are used as models of earthquake accelerograms. The spectra are estimated by considering the statistical moments of the energy of linear systems (filters) excited by the stochastic seismic processes. The usefulness of the proposed technique is de...