摘要
深入研究深部岩石的损伤破裂信息对于岩体稳定性监测和预警具有重要的指导意义。通过进行深部灰岩巴西圆盘劈裂声发射试验,分析了声发射实测全波形的演化特征,并在信号频域内提取了波形主频,以及在时域内计算了波形特征参数RA-AF值。研究结果表明,利用声发射实测全波形可以将岩石损伤过程划分为微损伤萌生阶段、裂纹扩展阶段和结构破坏阶段。低幅值波形主要表现为连续型特征,高幅值波形则主要表现为突发型特征。声发射频谱结构与岩石的损伤量和损伤程度密切相关,主频的聚类分布特征与岩石的微观和宏观破坏相对应。基于声发射主频的RA-AF分界线有助于促进声发射信号在表征岩石破裂模式方面从定性分析向定量分析的转变。
Research on damage fracture information identification of deep rocks is an important guide for rock stability monitoring and early warning.The evolution characteristics of the measured full waveform of acoustic emission collected from the test were analyzed by conducting acoustic emission tests of deep limestone under Brazilian splitting load.The dominant frequency of the waveform was extracted in the frequency domain of the signal,and the RA-AF values of the characteristic parameters were calculated in the time domain.The results show that the rock damage process can be subdivided into micro-damage initiation stage,crack expansion stage and structural damage stage by the acoustic emission full waveform characteristic.Low-amplitude waveforms are mostly continuous signals,while high-amplitude waveforms are mostly burst signals.The structure of the acoustic emission spectrum is closely related to the amount and degree of damage,and the dominant frequency has the characteristics of clustered distribution,which can correspond to the microscopic and macroscopic damage of the rock.The RA-AF boundary based on the division of the dominant frequency of acoustic emission promotes the transformation of the fracture mode of rock characterized by acoustic emission signals from qualitative analysis to quantitative analysis.
作者
常新科
吴顺川
程海勇
王勇兵
夏志远
汪小东
CHANG Xin-ke;WU Shun-chuan;CHENG Hai-yong;WANG Yong-bing;XIA Zhi-yuan;WANG Xiao-dong(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China;Huize Mining Company,Yunnan Chihong Zinc and Germanium Co.,Ltd.,Qujing 654200,China;CINF Engineering Co.,Ltd.,Changsha 410019,China)
出处
《科学技术与工程》
北大核心
2023年第31期13525-13532,共8页
Science Technology and Engineering
基金
国家自然科学基金(51934003)
云南省重大科技项目(202202AG050014)
云南省创新团队(202105AE160023)
博士研究生拔尖创新人才项目(CA22369M112A)。
关键词
深部灰岩
巴西圆盘劈裂试验
声发射
主频
RA-AF分布
deep limestone
Brazilian disc splitting test
acoustic emission
dominant frequency
RA-AF distribution