单轴压缩下粗砂岩临界破坏的多频段声发射耦合判据和前兆识别特征

曾鹏; 刘阳军; 纪洪广; 李成江

doi:10.11779/CJGE201703015

单轴压缩下粗砂岩临界破坏的多频段声发射耦合判据和前兆识别特征 English Version

1. 北京科技大学土木与资源工程学院,北京 100083;
2. 内蒙古伊泰广联煤化有限责任公司,内蒙古鄂尔多斯 017000;
3. 中冶建筑研究总院有限公司,北京 100088

基金项目: 国家重点研发计划项目（2016YFC0600801）; 国家自然科学基金重点项目（51534002）; 国家自然科学基金项目（51174015）

详细信息

作者简介:
曾鹏(1987-),男,博士研究生,主要从事矿山岩石力学试验与工程稳定性研究方面的工作。E-mail: zengpeng23@126.com。

通讯作者:
纪洪广: jihongguang@ces.ustb.edu.cn

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出版历程
- 收稿日期: 2016-04-26
- 发布日期: 2017-04-24

Coupling criteria and precursor identification characteristics of multi-band acoustic emission of gritstone fracture under uniaxial compression

1. School of Civil and Resource Engineering,University of Science and Technology Beijing, Beijing 100083, China;
2. Inner Mongolia Guanglian Yitai Coal & Chemical Industry Co., Ltd., Inner Mongolia, Ordos 017000, China;
3. Central Research Institute of Building and Construction Co., Ltd., MCC Group, Beijing 100088, China

摘要

摘要: 为寻求岩石临界破坏判据和前兆特征,在粗砂岩单轴压缩声发射（AE）试验的基础上,研究了岩石破坏过程中AE信号频段占比随应力变化特征,重点分析高、低两个特征频段占比随应力变化规律,同时对两个特征频段中不同应力水平下AE幅值关联维数进行计算与分析,并建立了基于频段占比与应力间关系的多频段AE信号主频识别判据模型。研究表明：AE信号频段占比的分布特征能较好地诠释岩石破坏所经历的主要过程;岩石破坏过程中,较低频段AE信号（31.25~46.875 kHz）占比先减小后增大,较高频段AE信号（140.625~156.25 kHz）占比先增大后减小。在临界破坏状态下,高、低两个特征频段占比分别出现最大值和最小值,且二者中AE幅值关联维数都下降到最低。通过对特征频段占比与应力之间的耦合分析,利用特征频段占比、AE幅值关联维数的变化可更准确地对岩石临界破坏前兆进行判别和预测。
- 多频段 /
- 耦合判据 /
- 前兆 /
- 临界破坏状态 /
- 关联分形维数 /
- 模型
Abstract: In order to obtain the criteria and precursor characteristics of critical rock fracture, laboratory experiments on the characteristics of acoustic emission (AE) of gritstone specimens under uniaxial compression are carried out. The relationships between proportions of AE frequency bands and stresses in the process of rock failure are analyzed. The variation characteristics of proportions of two characteristic frequency bands with stresses are analyzed especially. The relevant fractal dimensions of AE amplitude at different stress levels are calculated and analyzed in the two frequency bands. A multi-band AE dominant frequency recognition criterion model is established based on the quantitative relationships between proportions of frequency bands and stresses. The results indicate that the distribution characteristics of the proportions of frequency bands can reflect the main failure stages of rock. In the process failure of rock, the proportions of AE lower frequency band signals (31.25~46.875 kHz) decrease firstly and then increase, and the proportions of AE higher frequency band signals (140.625~156.25 kHz) increase firstly and then decrease. The minimum value and the maximum value appear in the critical state of rupture in the lower and higher frequency bands. And the minimum values of the relevant fractal dimensions of AE amplitude appear in the critical state of rupture in the two frequency bands. Based on the coupling analysis of proportions of characteristic frequency bands and stresses, the accuracy for estimating and predicting the critical state of rock can be improved by using the variations of the proportions of characteristic frequency bands and the relevant fractal

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