2011World Earthquake EngineeringRequires access

Wavelet-based analysis of the energy spectrum and its application to Wenchuan earthquake

Shao Huicheng

Open publisher page 0 citations

Abstract

The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.

About this research paper

What this paper is about

The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The seismic wave is decomposed into components of different frequency bands of wavelet by using the wavelet decomposition transform,then the total energy of structure inputted by seismic wave is decomposed,and the energy distribution in the frequency domain is got,which is a meaningful result.By analysis of the peaks of each sub-component energy spectrum the spectral characteristics of seismic wave can be obtained,at which the spectrum peak occurs.The structural natural period at which the energy is the same as the predominant period of the Fourier spectrum of seismic waves,so it can also be used as a way to estimate the predominant period of the seismic wave.

Key concepts: Wavelet, Seismology, Energy (signal processing), Dispersive body waves, Seismic wave, Energy spectrum, Geology, Frequency domain

Related papers

Back to paper searchBrowse research topicsOriginal source
Wavelet-based analysis of the energy spectrum and its application to Wenchuan earthquake — Research Paper | ScholarLens