Study on precursor characteristics of rock instability in different rock types based on displacement coordination coefficient indices
SHEN Yongxing1，FENG Zengchao1，ZHOU Dong2
(1. Key Laboratory of In-situ Property Improving Mining of Ministry of Education，Taiyuan University of Technology，
Taiyuan，Shanxi 030024，China；2. College of Safety and Emergency Management Engineering，Taiyuan University of Technology，Taiyuan，Shanxi 030024，China)
Abstract：Investigating effective short-term precursor methods to identify and capture events preceding rock instability based on limited displacement information is of significant research and practical importance for successfully predicting dynamic hazards in rock masses. To explore displacement precursors preceding instability in different lithologies，this study conducted uniaxial compression tests on six types of rocks：purple sandstone，coarse-grained sandstone，bituminous coal，marble，granite，and basalt. By monitoring surface displacements and internal acoustic emission signals during sample loading，the study examined surface deformation characteristics preceding rock instability，introducing the Rock Instability Precursor-Displacement Coordination Coefficient(DCC). The results indicate that DCC can capture precursor information leading to rock instability，with a sharp increase observed as a crucial precursor feature. For various rock types，the anomalous point of DCC appears at 95%–99% of the peak stress，serving as a short-term precursor indicator for rock instability. In comparison to acoustic emission parameters，DCC utilizes surface deformation information to real-time，quantitatively capture and identify precursor information before the instability of different rock types. The findings provide valuable insights for the precursor analysis and prediction of rock instability and failure.
沈永星1，冯增朝1，周 动2. 基于位移协调系数指标的不同岩性岩石失稳前兆特征研究[J]. 岩石力学与工程学报, 2024, 43(S2): 3738-3747.
SHEN Yongxing1，FENG Zengchao1，ZHOU Dong2. Study on precursor characteristics of rock instability in different rock types based on displacement coordination coefficient indices. , 2024, 43(S2): 3738-3747.
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2024, Vol. 43 
