岩土力学 ›› 2024, Vol. 45 ›› Issue (4): 991-1002.doi: 10.16285/j.rsm.2023.0614

• 基础理论与实验研究 • 上一篇    下一篇

基于变分模态分解的采空区“三带”微震信号能量衰减规律

贾宝新1, 2,郑克楠1,周琳力1   

  1. 1. 辽宁工程技术大学 土木工程学院,辽宁 阜新 123000;2. 辽宁工程技术大学 辽宁省矿山沉陷灾害防治重点实验室,辽宁 阜新 123000
  • 收稿日期:2023-05-18 接受日期:2023-09-04 出版日期:2024-04-17 发布日期:2024-04-17
  • 通讯作者: 周琳力,男,1995 年生,博士,讲师,主要从事岩土工程与微震监测方面的研究。E-mail:larryzll@163.com
  • 作者简介:贾宝新,男,1978 年生,博士,教授,主要从事矿山灾害力学与地下工程防灾减灾方面的研究。E-mail:jbx_811010@126.com
  • 基金资助:
    国家自然科学基金面上项目(No. 51774173);辽宁“百千万人才工程”培养经费(No. 2021921023)

Energy attenuation patterns of microseismic signals in the "three zones" of goaf based on variational mode decomposition

JIA Bao-xin1, 2, ZHENG Ke-nan1, ZHOU Lin-li1   

  1. 1. School of Civil Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China; 2. Liaoning Key Laboratory of Mine Subsidence Disaster Prevention and Control, Liaoning Technical University, Fuxin, Liaoning 123000, China
  • Received:2023-05-18 Accepted:2023-09-04 Online:2024-04-17 Published:2024-04-17
  • Supported by:
    This work was supported by the General Program of National Natural Science Foundation of China (51774173) and the “Hundred, thousand, and ten thousand Talents Project” of Liaoning Province (2021921023).

摘要:

为探明微震信号能量在采空区三带结构中的衰减规律,拟开展采空区覆岩相似模型试验,采集人工激发微震波经由采空区结构传播的微震信号,通过变分模态分解(variational mode decompositionVMD)处理微震信号,获取各频率下模态分量。针对采空区微震信号在VMD下各模态分量中心频率与能量之间的关系展开分析。根据中心频率法确定微震信号最佳模态数量,并计算微震信号欠分解状态、最佳分解状态、过分解状态下各分量能量;对各震源下信号最佳分解状态时各模态分量能量与中心频率分布关系进行拟合,分析在三带结构中,微震信号不同传播状态下各结构层对信号能量影响作用。研究结果表明:(1)在VMD过程中,人工激发震动信号有效模态数量在611范围内,微震信号能量随模态数量变化明显。(2)采用幂函数可实现对微震信号模态能量与频率关系的拟合,且拟合状态良好(决定系数大于0.9),其中低频模态分量包含能量占信号总能量近50%;采用高斯函数可以拟合震源各分量能量在频域上的分布表现,拟合状态较好,且表现出高斯单峰特征。(3)微震信号穿越采空区三带结构,微震信号能量随震源位置与传感器距离增加而减小,同时信号能量随震源位置到达传感器穿越岩层数量增加而减小,信号能量在经由垮落带时,能量变化明显,相较于裂隙带和弯曲下沉带,垮落带对信号能量衰减作用明显。

关键词: 变分模态分解(VMD), 微震信号, 信号频率特征, 信号能量衰减, 采空区“三带”结构

Abstract:

 In order to investigate the energy attenuation of microseismic signal in the "three-zone" structure of goaf, a similar model test of the overburden of goaf is proposed to collect the artificially excited microseismic signals propagated through the structure of goaf. The relationship between the central frequency and energy of the modal components of the microseismic signal via variational mode decomposition (VMD) is analysed. The optimum number of modal components of the microseismic signal is determined according to the central frequency method, and the energy of each component is calculated for the under-decomposition, optimum decomposition and over-decomposition states of the microseismic signal. The relationship between the energy of each modal component and the central frequency distribution is fitted for the optimum decomposition state of the signal under each source, and the energy of each modal component is analysed for different propagation states of the microseismic signal in the "three-zone" structure. The effect of each structural layer on the energy of the microseismic signal under different propagation states of the "three-zone" structure is analyzed. The results of the study show that: (1) The number of effective modes of the artificially excited vibration signal in the VMD process ranges from 6 to 11, and the energy of the microseismic signal varies significantly with the number of modes. (2) The power function can be used to fit the modal energy versus frequency of the microseismic signal, and the fitting state is good (the coefficient of determination is greater than 0.9), in which the low-frequency modal component contains nearly 50% of the total energy of the signal. The Gaussian function can be used to fit the distribution performance of the energy of each component of the source in the frequency domain, and the fitting state is good and shows the Gaussian single-peak characteristic. (3) The microseismic signal traverses through the "three-zone" structure of goaf, and the energy of the microseismic signal decreases as the distance between the source location and the sensor increases. The collapse zone has a significant attenuating effect on the signal compared to the fracture zone and the bending zone. The energy of the microseismic signal does not change as it passes through the "three-zone" structure of goaf.

Key words: variational mode decomposition (VMD), microseismic signal, signal frequency characteristics, signal energy attenuation, three-zone structure of goaf

中图分类号: TU 451
[1] 郑培晓, 蒲成志, 谢国森, 罗勇, 李广悦, . 基于特征选择的矿山微震信号自动识别[J]. 岩土力学, 2025, 46(7): 2199-2210.
[2] 李成武, 付 帅, 解北京, 李光耀, 宛天宇. 煤体静载破坏中低频磁场变化特征及产生机制研究[J]. 岩土力学, 2019, 40(2): 481-488.
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