基于声发射RA-AF值与kneedle算法的岩石拉剪破裂分类研究

doi:10.13722/j.cnki.jrme.2023.0696

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (1786 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The accurate determination of the boundary equation is crucial for classifying and identifying cracks in the process of rock fracture using the RA(Rise Time) and AF(Amplitude Ratio) values of acoustic emission. The granite shear acoustic emission monitoring experiments were carried out. Based on the crack classification method using RA-AF，the influences of the slope k and intercept b of the boundary equation on the crack classification results were analyzed. Utilizing the turning point detection algorithm for curves(kneedle algorithm)，a method for accurately determining the boundary equation was developed，and the crack classification results were analyzed. The results indicate that both the slope k and intercept b of the boundary equation have an influence on the crack classification results，which is related to the magnitudes of the two values. There exist critical values for both the critical slope and critical intercept. When these values are smaller than the critical values, the classification results are greatly affected，whereas when they exceed the critical values，the classification results are almost unaffected. The kneedle algorithm for curve inflection point detection can effectively determine the critical points of the boundary equation slope and intercept，providing a method and basis for accurately determining the critical slope and intercept in the boundary equation. Compared to the boundary equation without intercept, if the boundary equation has an intercept b，the proportion of shear cracks will increase by approximately 20%. The research findings provide a basis for determining the boundary equation for classifying rock tensile-shear cracks using RA and AF values，which contributes to the application of this method in rock mechanics.

Key words： rock mechanics acoustic emission RA value AF value crack classification

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Juxian1
	LIANG Peng1
	2
	ZHANG Yanbo1
	2
	YAO Xulong1
	2
	YU Guangyuan1
	2
	GUO Bin1
	3

Cite this article:

WANG Juxian1,LIANG Peng1,2, et al. Research on classification of rock tensile-shear fracture based on acoustic emission RA-AF values and kneedle algorithm[J]. , 2024, 43(S1): 3267-3279.

URL:

https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2023.0696 OR https://rockmech.whrsm.ac.cn/EN/Y2024/V43/IS1/3267

[1]	DONG L J，ZHANG Y H，MA J. Micro-crack mechanism in the fracture evolution of saturated granite and enlightenment to the precursors of instability[J]. Sensors，2020，20(16)：4 595.
[2]	ZHAO Y L，WANG Y X，TANG L M. The compressive-shear fracture strength of rock containing water based on Druker-Prager failure criterion[J]. Arabian Journal of Geosciences，2019，12(15)：452- 460.
[3]	WONG L N Y，LI H Q. Numerical study on coalescence of two pre-existing coplanar flaws in rock[J]. International Journal of Solids and Structures，2013，50(22/23)：3 685-3 706.
[4]	ZHOU X P，LIAN Y J，WONG L N Y，et al. Understanding the fracture behavior of brittle and ductile multi-flawed rocks by uniaxial loading by digital image correlation[J]. Engineering Fracture Mechanics，2018，199：438-460.
[5]	ZHOU X P，NIU Y，ZHANG J Z，et al. Experimental study on effects of freeze-thaw fatigue damage on the cracking behaviors of sandstone containing two unparallel fissures[J]. Fatigue and Fracture of Engineering Materials and Structures，2019，42：1 322-1 340.
[6]	赵阳升. 岩体力学发展的一些回顾与若干未解之百年问题[J]. 岩石力学与工程学报，2021，40(7)：1 297-1 336.(ZHAO Yangsheng. Retrospection on the development of rock mass mechanics and the summary of some unsolved centennial problems[J]. Chinese Journal of Rock Mechanics and Engineering，2021，40(7)：1 297-1 336.(in Chinese))
[7]	MPALASKAS A C，MATIKAS T E，VAN HEMELRIJCK D，et al. Acoustic emission monitoring of granite under bending and shear loading[J]. Archives of Civil and Mechanical Engineering，2016，16：313-324.
[8]	SHANG D L，CHEN Y D，ZHAO Z H，et al. Mechanical behavior and acoustic emission characteristics of intact granite undergoing direct shear[J]. Engineering Fracture Mechanics，2021，245：107581.
[9]	张光，吴顺川，张诗淮，等. 砂岩单轴压缩试验P波速度层析成像及声发射特性研究[J]. 岩土力学，2023，44(2)：483-496. (ZHANG Guang，WU Shunchuan，ZHANG Shihuai，et al. Study on the P-wave velocity tomography and acoustic emission characteristics of sandstone under uniaxial compression test[J]. Rock and Soil Mechanics，2023，44(2)：483-496.(in Chinese))
[10]	DU K，LI X F，TAO M，et al. Experimental study on acoustic emission (AE) characteristics and crack classification during rock fracture in several basic lab tests[J]. International Journal of Rock Mechanics and Mining Sciences，2020，133：104411.
[11]	DING Z W，LI X F，TANG Q B，et al. Research on rock crack classification based on acoustic emission waveform feature extraction technology[J]. Lithosphere，2022，2022(Special 11)：5804064.
[12]	Monitoring method for active cracks in concrete by acoustic emission： JCMS-Ⅲ B5706[S]. Japan： Federation of Construction Materials Industries，2003.
[13]	NIU Y，ZHOU X P，BERTO F. Evaluation of fracture mode classification in flawed red sandstone under uniaxial compression[J]. Theoretical and Applied Fracture Mechanics，2020，107：102528.
[14]	ZHAO K，MA H L，YANG C，et al. The role of prior creep duration on the acoustic emission characteristics of rock salt under cyclic loading[J]. International Journal of Rock Mechanics and Mining Sciences，2022，157：105166.
[15]	甘一雄，吴顺川，任义，等. 基于声发射上升时间/振幅与平均频率值的花岗岩劈裂破坏评价指标研究[J]. 岩土力学，2020，41(7)：2 324-2 332.(GAN Yixiong，WU Shunchuan，REN Yi，et al. Evaluation indexes of granite splitting failure based on RA and AF of AE parameters[J]. Rock and Soil Mechanic，2020，41(7)：2 324- 2 332.(in Chinese))
[16]	吴顺川，甘一雄，任义，等. 基于RA与AF值的声发射指标在隧道监测中的可行性[J]. 工程科学学报，2020，42(6)：723-730. (WU Shunchuan，GAN Yixiong，REN Yi，et al. Feasibility research of AE monitoring index in tunnel based on RA and AF[J]. Chinese Journal of Engineering，2020，42(6)：723-730.(in Chinese))
[17]	何满潮，赵菲，杜帅，等. 不同卸载速率下岩爆破坏特征试验分析[J]. 岩土力学，2014，35(10)：2 737-2 747.(HE Manchao，ZHAO Fei，DU Shuai，et al. Rockburst characteristics based on experimental tests under different unloading rates[J]. Rock and Soil Mechanics，2014，35(10)：2 737-2 747.(in Chinese))
[18]	WANG Y，MENG H J，LONG D Y. Experimental investigation of fatigue crack propagation in interbed marble under multilevel cyclic uniaxial compressive loads[J]. Fatigue and Fracture of Engineering Materials and Structures，2021，44：933-951.
[19]	DONG L J，ZHANG Y H，BI S J，et al. Uncertainty investigation for the classification of rock micro-fracture types using acoustic emission parameters[J]. International Journal of Rock Mechanics and Mining Sciences，2023，162：105292.
[20]	WANG Y，ZHANG B，GAO S H，et al. Investigation on the effect of freeze-thaw on fracture mode classification in marble subjected to multi-level cyclic loads[J]. Theoretical and Applied Fracture Mechanics，2021，111：102847.
[21]	FAN X Q，LI S T，CHEN X D，et al. Fracture behaviour analysis of the full-graded concrete based on digital image correlation and acoustic emission technique[J]. Fatigue and Fracture of Engineering Materials and Structures，2020，43：1 274-1 289.
[22]	ZHANG Z H，DENG J H. A new method for determining the crack classification criterion in acoustic emission parameter analysis[J]. International Journal of Rock Mechanics and Mining Sciences，2020，130：104323.
[23]	DAS A K，SUTHAR D，LEUNG C K Y. Machine learning based crack mode classification from unlabeled acoustic emission waveform features[J]. Cement and Concrete Research，2019，121：42-57.
[24]	LI J S，LIAN S L，HUANG Y S，et al. Study on crack classification criterion and failure evaluation index of red sandstone based on acoustic emission parameter analysis[J]. Sustainability，2022，14(9)：5 143.
[25]	SATOPAA V，ALBRECHT J，IRWIN D，et al. Finding a Kneedle in a haystack：detecting knee points in system behavior[C]// 31st International Conference on Distributed Computing Systems Workshops. Minneapolis，MN，USA：IEEE Xplore，2011：166-171.
[26]	闫召富. 基于声发射的花岗岩拉剪破裂识别方法研究[硕士学位论文][D]. 南宁：广西大学，2018.(YAN Zhaofu. Research on the recognition method of granite shear failure based on acoustic emission[M. S. Thesis][D]. Nanning：Guangxi University，2018.(in Chinese))
[27]	李佳申. 脆性岩石损伤演化及破坏前兆的声发射特性研究[硕士学位论文][D]. 贵阳：贵州大学，2022.(LI Jiashen. Study on acoustic emission characteristics of damage evolution and precursors of damage in brittle rocks[M. S. Thesis][D]. Guiyang：Guizhou University，2022.(in Chinese))
[28]	刘建坡，刘召胜，王少泉，等. 岩石张拉及剪切破裂声发射震源机制分析[J]. 东北大学学报：自然科学版，2015，36(11)：1 624-1 628. (LIU Jianpo，LIU Zhaosheng，WANG Shaoquan，et al. Analysis of acoustic emission source mechanisms for tensile and shear cracks of rock fractures[J]. Journal of Northeastern University：Natural Science，2015，36(11)：1 624-1 628.(in Chinese))
[29]	ZHAO T B，ZHANG P F，XIAO Y X，et al. Master crack types and typical acoustic emission characteristics during rock failure[J]. International Journal of Coal Science and Technology，2023，10：2.