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Estimate of input energy for elasto-plastic SDOF systems during earthquakes based on discrete wavelet coefficients

The response of an elasto‐plastic single degree of freedom (SDOF) system to ground motion is estimated based on wavelet coefficients calculated by discrete wavelet transform. Wavelet coefficients represent both the time and frequency characteristics of input ground motion, and thus can be considered...

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Published in:Earthquake engineering & structural dynamics 2005-12, Vol.34 (15), p.1799-1815
Main Author: Iyama, Jun
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Language:English
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description The response of an elasto‐plastic single degree of freedom (SDOF) system to ground motion is estimated based on wavelet coefficients calculated by discrete wavelet transform. Wavelet coefficients represent both the time and frequency characteristics of input ground motion, and thus can be considered to be directly related to the dynamic response of a non‐linear system. This relationship between the energy input into an elastic SDOF system and wavelet coefficients is derived based on the assumption that wavelets deliver energy to the structure instantaneously and the quantity of energy is constant regardless of yielding. These assumptions are shown to be valid when the natural period of the system is in the predominant period range of the wavelet, the most common scenario for real structures, through dynamic response analysis of a single wavelet. The wavelet‐based estimation of elastic and plastic energy transferred by earthquake ground motion is thus shown to be in good agreement with the dynamic response analysis when the natural period is in the predominant range of the input. Copyright © 2005 John Wiley & Sons, Ltd.
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subjects Earth sciences
Earth, ocean, space
Earthquakes, seismology
elasto-plastic system
Engineering and environment geology. Geothermics
Engineering geology
Exact sciences and technology
input energy
Internal geophysics
plastic deformation
wavelet transform
title Estimate of input energy for elasto-plastic SDOF systems during earthquakes based on discrete wavelet coefficients
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