Research on Grading Evaluation of Coal and Gas Dynamic Disasters Based on Fuzzy Mathematics DOI Creative Commons

Ding Hong,

Guangcai Wen,

Qingming Long

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 2990 - 2990

Published: March 10, 2025

As mining depths increase, the highly metamorphosed anthracite in Southwest China progressively develops into a complex dynamic disaster influenced by both situ stress and gas pressure. By utilizing characteristic indicators of mining-induced emissions, grading evaluation method for coal disasters (CGDDs) based on fuzzy mathematics l theory is proposed validated at No. 1 Well Yuwang Coal Mine. The results indicate that acceleration microseismic wave velocity increase anomaly coefficient are indicative more pronounced concentration. working face exhibits distinct gradations concentrations, categorized as weak, moderate, strong. Moreover, further confirm intensity concentrations. Gas emissions show clear correlation with drill cuttings desorption indicator (K1 value) volume (S value). Characteristic A, B, D suitable assessing risk CGDDs face. For application individual classifying CGDD different distances from crosscut (128 m, 247.5 299.4 435 m) 1010201-working face, contradictory classification were observed. However, derived consistent findings field investigations. advanced through pre-concentrated zone, significant changes observed source coefficient. Concurrently, displayed pattern fluctuation characterized increases decreases. consistency between periodic weighting emission, indicator, inversion result validates outcomes. These research can provide theoretical support monitoring CGDDs.

Language: Английский

Research on Grading Evaluation of Coal and Gas Dynamic Disasters Based on Fuzzy Mathematics DOI Creative Commons

Ding Hong,

Guangcai Wen,

Qingming Long

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 2990 - 2990

Published: March 10, 2025

As mining depths increase, the highly metamorphosed anthracite in Southwest China progressively develops into a complex dynamic disaster influenced by both situ stress and gas pressure. By utilizing characteristic indicators of mining-induced emissions, grading evaluation method for coal disasters (CGDDs) based on fuzzy mathematics l theory is proposed validated at No. 1 Well Yuwang Coal Mine. The results indicate that acceleration microseismic wave velocity increase anomaly coefficient are indicative more pronounced concentration. working face exhibits distinct gradations concentrations, categorized as weak, moderate, strong. Moreover, further confirm intensity concentrations. Gas emissions show clear correlation with drill cuttings desorption indicator (K1 value) volume (S value). Characteristic A, B, D suitable assessing risk CGDDs face. For application individual classifying CGDD different distances from crosscut (128 m, 247.5 299.4 435 m) 1010201-working face, contradictory classification were observed. However, derived consistent findings field investigations. advanced through pre-concentrated zone, significant changes observed source coefficient. Concurrently, displayed pattern fluctuation characterized increases decreases. consistency between periodic weighting emission, indicator, inversion result validates outcomes. These research can provide theoretical support monitoring CGDDs.

Language: Английский

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