Statistical tests of Load-Unload Response Ratio signals by Lattice Solid Model: Implication to tidal triggering and earthquake prediction

Yucang Wang*, Peter Mora, Can Yin, David Place

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

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/(kT) 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.

Original languageEnglish
Pages (from-to)1829-1839
Number of pages11
JournalPure and Applied Geophysics
Volume161
Issue number9-10
DOIs
StatePublished - Oct 2004
Externally publishedYes

Bibliographical note

Funding Information:
This study is supported by the Australia-China special Fund for Scientific and Technological Cooperation, UQ New Staff Research Start-up Fund Chinese NSF Fund for International Exchange and Cooperation and Chinese NSF (grant number 40004002). The authors thank two anonymous reviewers for their valuable advice enhancing this paper.

Keywords

  • Earthquake prediction
  • Lattice Solid Model (LSM)
  • Load-Unload Response Ratio (LURR)
  • Numerical simulation
  • Tidal trigger

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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