In this work, a correlation study between well-known seismic parameters and damage indices is presented. The correlation analysis is first performed on a set of natural seismic signals and afterwards on a set of artificial accelerograms generated from natural records. The artificial seismic signals are generated by a combination of techniques; the Hilbert-Huang transform and an optimization alg...

Reliable seismic vulnerability analysis is generally based on time-domain simulations of structural responses. The seismic load is then modelled by a stochastic process, representing seismic ground motion. For this purpose, the analyst can use recorded accelerograms or work with synthetically generated ones. When performing advanced probabilistic analyses, synthetic accelerograms are often used...

the artificial accelerograms have been developed for assessing the dynamic response ofstructures. considering seismological properties of the site are necessary for the best simulation ofaccelerograms. the real recorded accelergrams for simulating earthquake phenomenon are used in thearma model. this is due to the fact that the arma model can be considered more advantageous than theothers.in th...

The modern techniques for digitization of strong-motion accelerograms and subsequent data processing were first developed in the late 1960s and early 1970s, at which time the only available digitization technology was semi-automatic hand digitization. Following the development of image processing technologies in the early 1970s, an automatic digitization and data processing system, driven by a ...

A new nonstationary model is applied to represent seismic ground acceleration records. The model can be obtained by modulating both the amplitude and the frequency of a stationary process. It is not included in the class of oscillatory processes. Accelerograms recorded during the 1985 Michoacan earthquake in Mexico City are used to calibrate and evaluate the usefulness of the proposed and other...

The main objective of this paper is to use ant optimized neural networks to generate artificial earthquake records. In this regard, training accelerograms selected according to the site geology of recorder station and Wavelet Packet Transform (WPT) used to decompose these records. Then Artificial Neural Networks (ANN) optimized with Ant Colony Optimization and resilient Backpropagation algorith...

Almost every real world problem involves simultaneous optimization of several incommensurable and often competing objectives which constitutes a multi-objective optimization problem. In multi-objective optimization problems the optimal solution is not unique as in single-objective optimization problems. This paper is concerned with large-scale structural optimization of skeletal structures such...

This paper deals with the well-known problem of generating spectrum-compatible synthetic accelerograms for the linear and non-linear time-history analyses of structural systems. A wavelet-based procedure has been used to decompose a recorded accelerogram into a desired number of time-histories with non-overlapping frequency contents, and then each of the time-histories has been suitably scaled ...

In this paper an efficient classification system in the area of earthquake engineering is reported. The proposed method uses a set of artificial accelerograms to examine several types of damages in specific structures. With the use of seismic accelerograms, a set of twenty seismic parameters have been extracted to describe earthquakes. Previous studies based on artificial neural networks and ne...