Pulse-Period--Moment-Magnitude Relations Derived with Wavelet Analysis and their Relevance to Estimate Structural Deformations
Abstract
Motivated from the quadratic dependence of peak structural displacements to the pulse period, , of pulse-like ground motions, this paper revisits the -- relations of ground motions generated from near-source earthquakes with epicentral distances, 20 km. A total of 1260 ground motions are interrogated with wavelet analysis to identify energetic acceleration pulses (not velocity pulses) and extract their optimal period, , amplitude, , phase, and number of half-cycles, . The interrogation of acceleration records with wavelet analysis is capable of extracting shorter-duration distinguishable pulses with engineering significance, which override the longer near-source pulses. Our wavelet analysis identified 109 pulse-like records from normal faults, 188 records from reverse faults and 125 records from strike-slip faults, all with epicentral distances 20 km. Regression analysis on the extracted data concluded that the same -- relation can be used for pulse-like ground motions generated either from strike-slip faults or from normal faults; whereas, a different -- relation is proposed for reverse faults. The study concludes that for the same moment magnitude, , the pulse periods of ground motions generated from strike-slip faults are on average larger than these from reverse faults. Most importantly, our wavelet analysis on acceleration records produces -- relations with a lower slope than the slopes of the -- relations presented by past investigators after merely fitting velocity pulses. As a result, our proposed -- relations yield lower values for larger-magnitude earthquakes (say 6), allowing for the estimation of dependable peak structural displacements that scale invariably with .
Keywords
Cite
@article{arxiv.2104.11102,
title = {Pulse-Period--Moment-Magnitude Relations Derived with Wavelet Analysis and their Relevance to Estimate Structural Deformations},
author = {Eleftheria Efthymiou and Nicos Makris},
journal= {arXiv preprint arXiv:2104.11102},
year = {2022}
}