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Visualization and early warning analysis of damage degree of surrounding rock mass in underground powerhouse

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Based on the underground powerhouse of Shuangjiangkou hydropower station,Octree theory is adopted to define the indices of the microseismic(MS)spatial aggregation degree and the deviation values of MS count and energy.The relationship between the MS multiple parameters and surrounding rock mass in-stability is established from three aspects:time,space,and strength.Supplemented by the center fre-quency of the signal evolution characteristics,A fuzzy comprehensive evaluation model and the evolution trend of the MS event center frequency are constructed to quantitatively describe the early warning state of the surrounding rock mass instability.The results show that the multilevel tree structure and voxels generated based on the Octree theory fit relatively well with the set of MS points in three-dimensional space.The fuzzy comprehensive evaluation model based on MS spatial aggregation and MS count and energy deviation values enables three-dimensional visualization of the potential damage area and damage extent of the surrounding rock mass.The warning time and potential damage zone quantified are highly consistent with the characteristics of MS precursors,with wide recognition and field investigation results,which fully validate the rationality and applicability of the proposed method.These findings can provide references for the early warning of surrounding rock mass instability in similar un-derground engineering.

Underground powerhouseMS monitoringEarly warningVisualization

Yuepeng Sun、Haijian Su、Peiwei Xiao、Peng Li、Biao Li、Xiang Zhou、Kaiqi Bian、Nuwen Xu

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State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu 610065,China

State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology,Xuzhou 221116,China

Dadu River Hydropower Development Company,LTD,Chengdu 610016,China

School of Geoscience and Technology,Southwest Petroleum University,Chengdu 610500,China

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Science Foundation for Distinguished Young Scholars of Sichuan ProvinceNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaState Key Laboratory for GeoMechanics and Deep Underground Engineering,China University of Mining&Technology

2020JDJQ0011421771435180922152274145SKLGDUEK2013

2023

10.1016/j.ijmst.2022.12.011

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCD北大核心EI
影响因子：1.222
ISSN：2095-2686
年,卷(期)：2023.33(6)
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