Rockburst prediction and analysis of activity characteristics within surrounding rock based on microseismic monitoring and numerical simulation

Rockburst prediction and analysis of activity characteristics within surrounding rock based on microseismic monitoring and numerical simulation
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基于微震监测与数值模拟的岩爆围岩活动特征预测与分析

DOI:
10.1016/j.ijrmms.2021.104750
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发表时间:
2021-06
影响因子:
7.2
通讯作者:
Xu Nuwen
Xu Nuwen
中科院分区:
工程技术1区
文献类型:
--
作者:
Xue Ruixiong;Liang Zhengzhao;Xu Nuwen

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双江口水电站主厂房交通洞位于西南高地应力区,地质条件复杂。在隧道开挖过程中,应变结构岩爆频繁发生,严重威胁着人员和设备的安全。最大岩爆破坏深度在隧道左侧壁处达到1.8 m。介绍了一种用于隧道围岩微裂缝真实的实时监测的三维微地震监测技术。利用Matlab软件编写程序,提取MS信号的主要频率值。在质谱监测的基础上,得到了一些源参数。采用视应力、视体积和主频率值三个参数分析了围岩内部的活动状态。该方法具有较高的时间分辨率,能够真实的指导现场施工。这三个参数的组合能够更好地真实的实时表征围岩的不同损伤特征。当某些事件的视应力相对较高、某些事件的视体积相对较大、某些事件的主频值相对较低时,岩爆的风险相对较高。最后,利用三维数值模拟软件(RFPA3D)进行数值计算,探讨了应变结构岩爆机理。划定了岩爆危险性相对较高、岩爆预测相对困难的区域,为更强应变结构岩爆预测提供了新思路。了解围岩内部的活动状态对于控制岩爆发生或弱化岩爆强度具有重要意义。研究成果对现场安全高效施工具有重要的参考价值。
The access tunnel in the main powerhouse of the Shuangjiangkou hydropower station is located in an area with high in-situ stress and complex geological conditions in Southwest China. Strain-structure rockbursts occurred frequently and posed serious threats to the safety of personnel and equipment during the tunnel excavation. The maximum depth of the rockburst failure reached 1.8 m at the left sidewall of the tunnel. A three-dimensional microseismic (MS) monitoring technology was introduced to monitor microcracks within the tunnel surrounding rock in real time. Using Matlab software to write a program, the main frequency values of MS signals were extracted. Based on MS monitoring, some source parameters were obtained. Three parameters, including apparent stress, apparent volume and main frequency value, were used to analyze the activity state within the surrounding rock. This method had a high time resolution and can guide the on-site construction in real time. The combination of the three parameters can better characterize different damage characteristics of the surrounding rock in real time. When the apparent stress of some events was relatively high, the apparent volume of some events was relatively large and the main frequency values of some events were relatively low, the risk of rockbursts was relatively high. Finally, a 3D numerical simulation software (RFPA3D) was used for a numerical calculation to explore strain-structure rockburst mechanisms. An area where the rockburst risk was relatively high and rockburst prediction was relatively difficult was delineated, and this paper provided a new idea for predicting the stronger strain-structure rockbursts. Understanding of activity state within surrounding rock is very important for controlling rockburst occurrence or weakening rockburst strength. The research results have significant value for safe and efficient construction on site.
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