Catastrophe warning model in flawed sandstone based on improved cusp mutation theory

To investigate the key precursor information characteristics and damage state early warning model in the deformation and failure process of fractured rock, a series of uniaxial compression tests were carried out on prefabricated fractured sandstone samples with different geometric configurations. Also, the acoustic emission (AE) and energy mechanism of fractured sandstone were analyzed, and a catastrophe mutation early warning model based on multi-index fusion was established. The failure and mutation process of the sample were analyzed from the perspective of control factor and discriminant function response characteristics. The maximum likelihood estimation (MLE) and Davidon-Fletcher Powell (DFP) algorithm methods were adopted to solve the model. The precursor response coefficient and the precursor response stress ratio were introduced to comparatively analyze the early warning effect of the single-index model based on AE energy variance, AE <italic>b</italic>-value, elastic energy dissipation ratio, and the multi-index fusion model. The results show that the dissipative energy presents three stages: slow rise, slow decline and sudden rise. Before the sample approaches instability failure, the AE <italic>b</italic>-value decreases sharply, the AE parameter variance increases abruptly, and the elastic energy dissipation ratio curve changes rapidly from rising to falling. These sudden changes can be regarded as early warning indicators of rock failure. The average precursory response coefficients defined by AE energy variance, AE <italic>b</italic>-value and elastic energy consumption ratio are 9.19%, 8.26% and 6.72%, respectively. In addition, the corresponding average response stress ratios are 92.54%, 92.70% and 95.84%, respectively. The early warning range of the improved multi-index early warning model is smaller than that of the single index model, and the possibility of false alarms and missing alarms is reduced. The multi-index fusion warning model has good robustness. The early warning interval is within (0.96–0.98)<italic>σ</italic><sub>p</sub>, the precursory response coefficient is between 5.55% and 10.20%, and the precursory response stress ratio ranges from 93.62% to 97.75%.

Publication Details

Journal
Chinese Journal of Rock Mechanics and Engineering
Published
2025-10-01
DOI
https://doi.org/10.3724/1000-6915.jrme.2025.0050
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

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Catastrophe warning model in flawed sandstone based on improved cusp mutation theory

Chinese Journal of Rock Mechanics and Engineering
Rock Mechanics and Modeling
article

Catastrophe warning model in flawed sandstone based on improved cusp mutation theory

article en

Abstract

To investigate the key precursor information characteristics and damage state early warning model in the deformation and failure process of fractured rock, a series of uniaxial compression tests were carried out on prefabricated fractured sandstone samples with different geometric configurations. Also, the acoustic emission (AE) and energy mechanism of fractured sandstone were analyzed, and a catastrophe mutation early warning model based on multi-index fusion was established. The failure and mutation process of the sample were analyzed from the perspective of control factor and discriminant function response characteristics. The maximum likelihood estimation (MLE) and Davidon-Fletcher Powell (DFP) algorithm methods were adopted to solve the model. The precursor response coefficient and the precursor response stress ratio were introduced to comparatively analyze the early warning effect of the single-index model based on AE energy variance, AE <italic>b</italic>-value, elastic energy dissipation ratio, and the multi-index fusion model. The results show that the dissipative energy presents three stages: slow rise, slow decline and sudden rise. Before the sample approaches instability failure, the AE <italic>b</italic>-value decreases sharply, the AE parameter variance increases abruptly, and the elastic energy dissipation ratio curve changes rapidly from rising to falling. These sudden changes can be regarded as early warning indicators of rock failure. The average precursory response coefficients defined by AE energy variance, AE <italic>b</italic>-value and elastic energy consumption ratio are 9.19%, 8.26% and 6.72%, respectively. In addition, the corresponding average response stress ratios are 92.54%, 92.70% and 95.84%, respectively. The early warning range of the improved multi-index early warning model is smaller than that of the single index model, and the possibility of false alarms and missing alarms is reduced. The multi-index fusion warning model has good robustness. The early warning interval is within (0.96–0.98)<italic>σ</italic><sub>p</sub>, the precursory response coefficient is between 5.55% and 10.20%, and the precursory response stress ratio ranges from 93.62% to 97.75%.

Chinese Journal of Rock Mechanics and EngineeringVol. 44(10)
Chongqing University, Anhui University, China Postdoctoral Science Foundation, Shandong University of Science and Technology, Anhui University of Science and Technology, State Key Laboratory of Coal Mine Disaster Dynamics and Control
Openalex Percentile: Top 48%
Rock Mechanics and Modeling
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