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April 15, 2026Scientific ReportsOpen Access

Statistics of multiscale fragmentation in the Primorsky fault zone

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Authors

AOAlexey OstapchukVCV. E. ChinkinAGA. V. Grigorieva

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Overview

Examines rock fragmentation in the Primorsky Fault, revealing crucial statistical patterns.

Key Points

  • This research aims to analyze the fragmentation statistics of brittle rocks in the Primorsky Fault zone.
  • Examined fragmentation across scales from microns to kilometers
  • Used convolutional neural network algorithms for mapping fractures and faults
  • Statistically tested for power law, lognormal, or Weibull characteristics in fragment size distributions
  • Developed a statistical model for fragment size distribution fitting
  • Fragmentation obeys lognormal statistics between 10−6m to 104m
  • Shape parameter (σ) varies from 1.4 to 2.0 across scales
  • Defined a power law dependency of destruction rate on fragment size
  • Findings highlight the importance of analyzed data scale in evaluating fault behavior

Cite This Study

Ostapchuk et al. (2026) studied this question.

synapsesocial.com/papers/69df2b04e4eeef8a2a6b007ehttps://doi.org/10.1038/s41598-026-47316-w
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