Determination Of Earthquake Intensity Based On PGA (Peak Ground Acceleration) Using Multi-Event Earthquake Data

Prediction of Peak Ground Acceleration (PGA) using Artificial Neural Networks

In this paper, the probable range of the horizontal component of peak ground acceleration (PGA) is predicted as a function of focal depth, earthquake magnitude and epicentral distance, using artificial neural network (ANN). Three different ANN architectures (namely Feed Forward, Back Propagation and Radial Bias Networks) are used to develop the model. The three models are then compared, to deci...

Ground motion intensity measures for performance-based earthquake engineering

A critical issue in the probabilistic framework for performance-based earthquake engineering is the choice of ground motion intensity measure(s). In an effort to identify optimum intensity measure(s), a comprehensive parametric statistical study based on 881 earthquake record components was conducted to identify the correlation between (1) seismological variables (SV’s) and traditional ground m...

Wavelet-based Analysis for Pulse Period of Earthquake Ground-motions

Pulse period of earthquake records has been known as a key parameter in seismology and earthquake engineering. This paper presents a detailed characterization of this parameter for a special class of earthquake records called pulse-like ground motions. This type of motions often resulting from directivity effects is characterized by a strong pulse in the velocity time history of motion, in norm...

Earthquake Ground Motion

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