岩石I，II型单裂纹破坏前兆过程与短临预报模型研究

doi:10.3724/1000-6915.jrme.2024.0887

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Abstract Short-term failure forecasting of rocks is a critical scientific issue in predicting major geohazards such as rockbursts, landslides, and earthquakes. This study conducted Mode I and Mode II single-crack failure tests on rock specimens, combined with real-time acoustic emission (AE) monitoring, to investigate the precursors to local instability and their multidimensional damage evolution. A failure forecast model (FFM) based on the time-reversed Omori law, along with a long short-term memory (LSTM) neural network failure forecast model, was proposed to quantitatively predict the single-crack failure time of rocks. The results indicate that the precursory processes manifested as power-law damage acceleration in the time dimension, damage localization in the spatial dimension, and high-energy damage in the energy dimension, which demonstrate physical synchronicity. The traditional FFM, improved FFM, and LSTM neural network failure forecast model all accurately predict the single-crack failure time of rocks, exhibiting good statistical reliability and robustness, with the predictive advantage of the LSTM model being particularly notable. Utilizing the AE event rate and AE amplitude rate as predictive factors can enhance prediction quality. However, the local time series formed by integrating the cracking nature and energy mechanism does not fully represent the complete energy consumption process, resulting in a short early warning time. Additionally, this study shows that the localized zone, which plays a controlling role in rock strength, serves as a reliable precursor source for failure prediction, providing computational technical support for short-term failure forecasting of rocks.

Key words： rock mechanics short-term failure forecasting of rock single-crack failure precursory process synchronicity localization instability

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	Articles by authors
	ZHANG Jianzhi
	WU Wentao
	ZHANG Ting

Cite this article:

ZHANG Jianzhi,WU Wentao,ZHANG Ting. Precursory processes and short-term forecasting model of mode I and mode II single-crack failure in rocks[J]. , 2025, 44(10): 2654-2667.

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https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2024.0887 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/I10/2654

[1]	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))
[2]	冯增朝，吕兆兴，赵阳升. 岩石破坏短临预报研究进展——岩石破坏短临预报竞赛评述[J]. 岩石力学与工程学报，2022，41(12)：2 522-2 529.(FENG Zengchao，LV Zhaoxing，ZHAO Yangsheng. Research progress on short-impending prediction of rock failure——Comments on the competition of short-impending prediction of rock failure[J]. Chinese Journal of Rock Mechanics and Engineering，2022，41(12)：2 522-2 529.(in Chinese))
[3]	ZHANG J Z，ZHOU X P. Forecasting catastrophic rupture in brittle rocks using precursory AE time series[J]. Journal of Geophysical Research：Solid Earth，2020，125(8)：e2019JB019276.
[4]	XIONG Q Q，BRUDZINSKI M，GOSSETT D，et al. Seismic magnitude clustering is prevalent in field and laboratory catalogs[J]. Nature Communications，2023，14：2 056.
[5]	赵扬锋，刘力强，潘一山，等. 岩石变形破裂微震、电荷感应、自电位和声发射实验研究[J]. 岩石力学与工程学报，2017，36(1)：107-123.(ZHAO Yangfeng，LIU Liqiang，PAN Yishan，et al. Experiment study on microseismic，charge induction，self-potential and acoustic emission during fracture process of rocks[J]. Chinese Journal of Rock Mechanics and Engineering，2017，36(1)：107-123.(in Chinese))
[6]	ZHOU X P，ZHANG J Z. Damage progression and acoustic emission in brittle failure of granite and sandstone[J]. International Journal of Rock Mechanics and Mining Sciences，2021，143：104789.
[7]	VOIGHT B. A method for prediction of volcanic eruptions[J]. Nature，1988，332(6160)：125-130.
[8]	ANDREW F B，JOHN G，MICHAEL J H，et al. Challenges for forecasting based on accelerating rates of earthquakes at volcanoes and laboratory analogues[J]. Geophysical Journal International，2011，185，2：718-723.
[9]	CARTWRIGHT‐TAYLOR A，MAIN I G，BUTLER I B，et al. Catastrophic failure：how and when? insights from 4‐D in situ X‐ray microtomography[J]. Journal of Geophysical Research：Solid Earth，2020，125：e2020JB019642.
[10]	JÉRÉMIE V，FABIAN B W，MICHAEL J H，et al. Does an inter-flaw length control the accuracy of rupture forecasting in geological materials?[J]. Earth and Planetary Science Letters，2017，475：181-189.
[11]	LENNARTZ-SASSINEK S，MAIN I G，ZAISER M，et al. Acceleration and localization of subcritical crack growth in a natural composite material[J]. Physical Review E，2014，90(5)：052401.
[12]	PATTON A，GOEBEL T，KWIATEK G，et al. Large-scale heterogeneities can alter the characteristics of compressive failure and accelerated seismic release[J]. Physical Review E，2023，108(1)：014131.
[13]	XUE J，HAO S W，WANG J，et al. The changeable power-law singularity and its application to prediction of catastrophic rupture in uniaxial compressive tests of geo-media[J]. Journal of Geophysical Research：Solid Earth，2018，123(4)：2 645-2 657.
[14]	CHENG L，HAO S W，LU C S. Spatial heterogeneity of precursory accelerating deformation in uniaxially compressed sandstones and prediction of failure time[J]. Journal of Building Engineering，2024，82：108201.
[15]	ZHANG J Z，WU W T，ZHOU X P. On the predictability of localization instabilities of quasibrittle materials from accelerating rates of acoustic emission[J]. Engineering Fracture Mechanics，2023，289：109455.
[16]	ZHANG J Z，LONG Y D，ZHANG T，et al. A true triaxial experiment investigation of the mechanical and deformation failure behaviors of flawed granite after exposure to high-temperature treatment[J]. Engineering Fracture Mechanics，2024，306：110273.
[17]	RUNDLE J B，TURCOTTE D L，SHCHERBAKOV R，et al. Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems[J]. Reviews of Geophysics，2003，41(4)：1 019.
[18]	马海涛，张亦海，于正兴. 滑坡速度倒数法预测模型加速开始点识别及临滑时间预测研究[J]. 岩石力学与工程学报，2021，40(2)：355-364.(MA Haitao，ZHANG Yihai，YU Zhengxing. Research on the identification of acceleration starting point in inverse velocity method and the prediction of sliding time[J]. Chinese Journal of Rock Mechanics and Engineering，2021，40(2)：355-364.(in Chinese))
[19]	LEI Q H，DIDIER S. Unified failure model for landslides，rockbursts，glaciers，and volcanoes[J]. Communications Earth and Environment，2025，6：390.
[20]	MCBECK J A，AIKEN J M，MATHIESEN J，et al. Deformation precursors to catastrophic failure in rocks[J]. Geophysical Research Letters，2020，47：e2020GL090255.
[21]	WANG K，JOHNSON C W，BENNETT K C，et al. Predicting future laboratory fault friction through deep learning transformer models[J]. Geophysical Research Letters，2022，49(19)：e2022GL098233.
[22]	王振义，王亚磊，靳晓亮. 基于SSA-LSTM框架的花岗岩失稳破坏前兆细观组分分析[J]. 力学与实践，2023，45(4)：837-853.(WANG Zhenyi，WANG Yalei，JIN Xiaoliang. Meso-Scopic compositions analysis of granite failure precursor based on SSA-LSTM framework[J]. Mechanics in Engineering，2023，45(4)：837-853.(in Chinese))
[23]	赵毅鑫，乔海清，谢镕澴，等. 煤岩单轴压缩破坏声发射轻量化三维卷积预测模型研究[J]. 岩石力学与工程学报，2022，41(8)：1 567-1 580.(ZHAO Yixin，QIAO Haiqing，XIE Ronghuan，et al. Lightweight 3D convolution model for failure prediction of coal under uniaxial compression based on acoustic emission[J]. Chinese Journal of Rock Mechanics and Engineering，2022，41(8)：1 567-1 580.(in Chinese))
[24]	汤志立，徐千军. 基于9种机器学习算法的岩爆预测研究[J]. 岩石力学与工程学报，2020，39(4)：773-781.(TANG Zhili，XU Qianjun. Rockburst prediction based on nine machine learning algorithms[J]. Chinese Journal of Rock Mechanics and Engineering，2020，39(4)：773-781.(in Chinese))
[25]	杨背背，殷坤龙，杜娟. 基于时间序列与长短时记忆网络的滑坡位移动态预测模型[J]. 岩石力学与工程学报，2018，37(10)：2 334-2 343.(YANG Beibei，YIN Kunlong，DU Juan. A model for predicting landslide displacement based on time series and long and short term memory neural network[J]. Chinese Journal of Rock Mechanics and Engineering，2018，37(10)：2 334-2 343.(in Chinese))
[26]	ZHANG J Z，ZHOU X P，DU Y H. Cracking behaviors and acoustic emission characteristics in brittle failure of flawed sandstone：A true triaxial experiment investigation[J]. Rock Mechanics and Rock Engineering，2023，56：167-182.