Title of article
Statistical Tests of Load-Unload Response Ratio Signals by Lattice Solid Model: Implication to Tidal Triggering and Earthquake Prediction
Author/Authors
Yucang Wang، نويسنده , , Peter Mora، نويسنده , , Can Yin، نويسنده , , David Place ، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2004
Pages
11
From page
1829
To page
1839
Abstract
Statistical tests of Load-Unload Response Ratio (LURR) signals are carried in order to
verify statistical robustness of the previous studies using the Lattice Solid Model (MORA et al., 2002b). In
each case 24 groups of samples with the same macroscopic parameters (tidal perturbation amplitude A,
period T and tectonic loading rate k) but different particle arrangements are employed. Results of uni-axial
compression experiments show that before the normalized time of catastrophic failure, the ensemble
average LURR value rises significantly, in agreement with the observations of high LURR prior to the
large earthquakes. In shearing tests, two parameters are found to control the correlation between
earthquake occurrence and tidal stress. One is, A=ðkT Þ controlling the phase shift between the peak
seismicity rate and the peak amplitude of the perturbation stress. With an increase of this parameter, the
phase shift is found to decrease. Another parameter, AT =k , controls the height of the probability density
function (Pdf) of modeled seismicity. As this parameter increases, the Pdf becomes sharper and narrower,
indicating a strong triggering. Statistical studies of LURR signals in shearing tests also suggest that except
in strong triggering cases, where LURR cannot be calculated due to poor data in unloading cycles, the
larger events are more likely to occur in higher LURR periods than the smaller ones, supporting the
LURR hypothesis.
Keywords
Lattice Solid Model (LSM) , Load-Unload Response Ratio (LURR) , earthquake prediction. , tidal trigger , Numericalsimulation
Journal title
Pure and Applied Geophysics
Serial Year
2004
Journal title
Pure and Applied Geophysics
Record number
429739
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