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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 88
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and M. Papadrakakis
Paper 197
Automated Baseline Correction, Fling and Displacement Estimates from the Chi-Chi Earthquake using the Wavelet Transform A.A. Chanerley1 and N. Alexander2
1School of Computing & Technology, University of East London, United Kingdom
A.A. Chanerley, N. Alexander, "Automated Baseline Correction, Fling and Displacement Estimates from the Chi-Chi Earthquake using the Wavelet Transform", in B.H.V. Topping, M. Papadrakakis, (Editors), "Proceedings of the Ninth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 197, 2008. doi:10.4203/ccp.88.197
Keywords: correction, seismic, wavelet transform, integration, Chi-Chi, fling, decomposition, reconstruction.
Summary
This paper proposes a novel approach using a wavelet-based algorithm for the routine
processing of seismic events, baseline correction and displacement. It shows that the
wavelet transform extracts the acceleration 'fling' completely naturally from seismic
events. It uses seismic records from the Chi-Chi event in order to extract the fling by
applying wavelet filter banks for decomposition and reconstruction. The choice of
wavelet is based on the shape of the long-period Fling and in this case the Haar
Transform and Daubechies [1] and their associated filter banks seem well suited.
These wavelets also give the depth of decomposition such that an optimal estimate of
the fling and thus consequent displacement is obtained. Other wavelet transforms also
give good results therefore the method is not transform specific. This method can
automatically correct for baseline shifts in the velocity characteristics, to then obtain
displacements. Moreover the process is routine and relatively straightforward to
implement. The displacements are compared with GPS readings and the initial results
are encouraging. In particular the acceleration and velocity 'fling' are manifest as the
transform runs through the decomposition levels, which lends credibility to this
routine method of seismic and baseline correction and displacement estimation. The
point to make is that at a particular level of decomposition, the wavelet transform
separates the long and short period acceleration sub-bands, it then becomes easier to
perform a first and second integration separately on the short period and the long
period in particular. This identifies acceleration and velocity 'fling' and velocity
baseline offsets, which can be easily corrected.
References
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