岩石损伤强度及峰值强度前后阶段的声发射识别

doi:10.11779/CJGE202210017

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摘要岩石损伤强度和峰值强度是岩石工程中两项重要指标,通过声发射识别该两项指标更具工程应用价值,为了解决目前采用声发射试验难以识别的问题,开展了相应的试验和识别方法研究。选用典型的红砂岩进行声发射试验,首先根据声发射事件数表征的损伤变量,将岩石压缩破坏全过程划分为损伤稳定演化（损伤强度前）、损伤加剧演化（损伤与峰值强度之间）和峰后残余强度3个阶段。根据岩石声发射参数与损伤状态之间Spearman相关性系数分析结果,优选了用于识别的声发射参数,进而建立了基于SVM分类原理的岩石损伤强度及峰值强度前后阶段的识别模型。不同核函数与参数优化算法组合研究表明：RBF核函数与PSO算法组合时识别效果最优,且识别准确率随着测试岩样与训练岩样波速差异的减小而增加;波速差异较小时,3个阶段的识别准确率均超过96%。研究结果可为通过声发射监测识别工程实际中岩石所处的强度阶段提供借鉴。

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	赵云阁
	黄麟淇
	李夕兵

关键词 ：岩石, 声发射, 损伤强度, 峰值强度, 支持向量机, 波速

Abstract：The damage strength and the peak strength are the important indexes for rock engineering. The two indexes identified by the acoustic emission (AE) tests are of high practical value in engineering application. As it is difficult to identify the two indexes by the AE tests, the corresponding identification method is studied based on the laboratory AE tests. Firstly, the AE tests on typical red sandstone samples are carried out, and the whole process of the uniaxial compression tests can be divided into three stages on the subject to damage variables characterized by the number of AE events. The three stages include the stable evolution period of damage (before damage strength), the aggravated evolution period of damage (between damage and peak strengths) and the residual strength period after the peak strength. The appropriate AE parameters for identification are selected based on the Spearman correlation coefficient between AE and damage state. Then the identification model is established based on the principle of SVM classification. It can be used to identify the stages before and after the damage strength and peak strength of rock. The RBF kernel function and the PSO algorithm are determined as the optimal algorithm based on the analysis of different kernel functions and parameter optimization algorithms. The itentification accuracy increases with the decrease of the difference of wave velocity between the test and training samples. With the close wave velocity between the test and training samples, the identification accuracy of the three stages is over 96%. The research results may provide reference for identifying the strength states of in-situ rock through AE monitoring.

Key words： rock acoustic emission damage strength peak strength SVM wave speed

收稿日期: 2021-04-13

ZTFLH:

TU452

基金资助:国家自然科学基金重大项目（51927808）; 国家自然科学基金项目（11972378）

通讯作者: *（E-mail: xbli@csu.edu.cn）

作者简介: 赵云阁(1997— ),男,博士研究生,主要从事岩石力学方面的研究工作。E-mail: yungezhao@csu.edu.cn。

引用本文:

赵云阁, 黄麟淇, 李夕兵. 岩石损伤强度及峰值强度前后阶段的声发射识别[J]. 岩土工程学报, 2022, 44(10): 1908-1916. ZHAO Yun-ge, HUANG Lin-qi, LI Xi-bing. Identification of stages before and after damage strength and peak strength using acoustic emission tests. Chinese J. Geot. Eng., 2022, 44(10): 1908-1916.

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http://manu31.magtech.com.cn/Jwk_ytgcxb/CN/10.11779/CJGE202210017 或 http://manu31.magtech.com.cn/Jwk_ytgcxb/CN/Y2022/V44/I10/1908

[1] 刘泉声, 魏莱, 雷广峰, 等. 砂岩裂纹起裂损伤强度及脆性参数演化试验研究[J]. 岩土工程学报, 2018, 40(10): 1782-1789.
(LIU Quan-sheng, WEI Lai, LEI Guang-feng, et al.Experimental study on damage strength of crack initiation and evaluation of brittle parameters of sandstone[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1782-1789. (in Chinese))
[2] MARTIN C.The Strength of Massive Lac Du Bonnet Granite Around Underground Openings[D]. Manitoba: University of Manitoba, 1993.
[3] MARTIN C D, CHANDLER N A.The progressive fracture of Lac du Bonnet granite[J]. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1994, 31(6): 643-659.
[4] MARTIN C D, KAISER P K, CHRISTIANSSON R.Stress, instability and design of underground excavations[J]. International Journal of Rock Mechanics and Mining Sciences, 2003, 40(7/8): 1027-1047.
[5] CAI M, KAISER P K, TASAKA Y, et al.Generalized crack initiation and crack damage stress thresholds of brittle rock masses near underground excavations[J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(5): 833-847.
[6] 周辉, 孟凡震, 卢景景, 等. 硬岩裂纹起裂强度和损伤强度取值方法探讨[J]. 岩土力学, 2014, 35(4): 913-918, 925.
(ZHOU Hui, MENG Fan-zhen, LU Jing-jing, et al.Discussion on methods for calculating crack initiation strength and crack damage strength for hard rock[J]. Rock and Soil Mechanics, 2014, 35(4): 913-918, 925. (in Chinese))
[7] KIM J S, LEE K S, CHO W J, et al.A comparative evaluation of stress-strain and acoustic emission methods for quantitative damage assessments of brittle rock[J]. Rock Mechanics and Rock Engineering, 2015, 48(2): 495-508.
[8] EBERHARDT E, STEAD D, STIMPSON B, et al.Identifying crack initiation and propagation thresholds in brittle rock[J]. Canadian Geotechnical Journal, 1998, 35(2): 222-233.
[9] AMANN F, ÜNDÜL Ö, KAISER P K. Crack initiation and crack propagation in heterogeneous sulfate-rich clay rocks[J]. Rock Mechanics and Rock Engineering, 2014, 47(5): 1849-1865.
[10] ZHAO X G, CAI M, WANG J, et al.Damage stress and acoustic emission characteristics of the Beishan granite[J]. International Journal of Rock Mechanics and Mining Sciences, 2013, 64: 258-269.
[11] DIEDERICHS M S, KAISER P K, EBERHARDT E.Damage initiation and propagation in hard rock during tunnelling and the influence of near-face stress rotation[J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(5): 785-812.
[12] GHAZVINIAN E, DIEDERICHS M S, LABRIE D, et al.An investigation on the fabric type dependency of the crack damage thresholds in brittle rocks[J]. Geotechnical and Geological Engineering, 2015, 33(6): 1409-1429.
[13] ZHAO K, YANG D X, GONG C, et al.Evaluation of internal microcrack evolution in red sandstone based on time-frequency domain characteristics of acoustic emission signals[J]. Construction and Building Materials, 2020, 260: 120435.
[14] 尚雪义, 李夕兵, 彭康, 等. 基于EMD_SVD的矿山微震与爆破信号特征提取及分类方法[J]. 岩土工程学报, 2016, 38(10): 1849-1858.
(SHANG Xue-yi, LI Xi-bing, PENG Kang, et al.Feature extraction and classification of mine microseism and blast based on EMD-SVD[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(10): 1849-1858. (in Chinese))
[15] 赵洪波, 冯夏庭, 尹顺德. 基于支持向量机的岩体工程分级[J]. 岩土力学, 2002, 23(6): 698-701.
(ZHAO Hong-bo, FENG Xia-ting, YIN Shun-de. Classification of engineering rock based on support vector machine[J]. Rock and Soil Mechanics, 2002, 23(6): 698--701. (in Chinese))
[16] 张明, 李仲奎, 杨强, 等. 准脆性材料声发射的损伤模型及统计分析[J]. 岩石力学与工程学报, 2006, 25(12): 2493-2501.
(ZHANG Ming, LI Zhong-kui, YANG Qiang, et al.A damage model and statistical analysis of acoustic emission for quasi-brittle materials[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(12): 2493-2501. (in Chinese))
[17] 刘祥鑫, 张艳博, 梁正召, 等. 岩石破裂失稳声发射监测频段信息识别研究[J]. 岩土工程学报, 2017, 39(6): 1096-1105.
(LIU Xiang-xin, ZHANG Yan-bo, LIANG Zheng-zhao, et al.Recognition of frequency information in acoustic emission monitoring of rock fracture[J]. Chinese Journal of Geotechnical Engineering, 2017, 39(6): 1096-1105. (in Chinese))
[18] 李夕兵, 刘志祥. 岩体声发射混沌与智能辨识研究[J]. 岩石力学与工程学报, 2005, 24(8): 1296-1300.
(LI Xi-bing, LIU Zhi-xiang.Research on chaos and intelligent identification of acoustic emission in rock mass[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(8): 1296-1300. (in Chinese))
[19] 李庶林, 周梦婧, 高真平, 等. 增量循环加卸载下岩石峰值强度前声发射特性试验研究[J]. 岩石力学与工程学报, 2019, 38(4): 724-735.
(LI Shu-lin, ZHOU Meng-jing, GAO Zhen-ping, et al.Experimental study on acoustic emission characteristics before the peak strength of rocks under incrementally cyclic loading-unloading methods[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(4): 724-735. (in Chinese))
[20] WALTON G, LABRIE D, ALEJANO L R.On the residual strength of rocks and rockmasses[J]. Rock Mechanics and Rock Engineering, 2019, 52(11): 4821-4833.
[21] 丁世飞, 齐丙娟, 谭红艳. 支持向量机理论与算法研究综述[J]. 电子科技大学学报, 2011, 40(1): 2-10.
(DING Shi-fei, QI Bing-juan, TAN Hong-yan.An overview on theory and algorithm of support vector machines[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(1): 2-10. (in Chinese))