Failure evolution and precursor prediction of fissured sandstone based on power-law behavior of electric potential

IF 6.9 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Engineering Geology Pub Date : 2024-12-29 DOI:10.1016/j.enggeo.2024.107896
Tiancheng Shan , Zhonghui Li , Enyuan Wang , Xin Zhang , Haishan Jia , Xiaoran Wang , Enlai Zhao , Yue Niu , Dong Chen
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Abstract

The engineering rock with defects is prone to induce serious geological disasters such as rockbursts under stress disturbance. Exploring the power-law failure prediction method of electric potential (EP) signals is effective and has great potential. In this study, the EP monitoring tests of the fissured red sandstone samples with variable crack angles under uniaxial compression were carried out. Spatiotemporal response, The Hurst statistical feature and Benioff-type power law of EPs were adopted to analyze the scale invariance of EPs and their relationship with damage evolution during rock failure. The failure prediction method based on Benioff potential and early warming assessment system were further proposed to predict the failure time range of potential rock instability in real time. The results show that with increasing crack angle, the mechanical strength and macroscopic crack number of samples reduce, and the power rate growth trend of EPs is delayed. The EP intensity increases closer to the crack propagation path, which is associated with the local damage and moving charged dislocations. Benioff potential of all samples shows power-law properties and is closely related to the internal damage evolution. With decreasing the remaining failure time, the variable power exponent mt in the local temporal window gradually increases and approaches the upper limit of 1, indicating an increased possibility of potential catastrophic failure in rocks. The failure time range is predicted in real time through Benioff power behaviors with the upper and lower limits of mt, and the prediction accuracy improves as the rock failure approaches.
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基于电势幂律特性的裂隙砂岩破坏演化及前兆预测
具有缺陷的工程岩石在应力扰动下容易诱发地压等严重地质灾害。探索电势(EP)信号的幂律故障预测方法是有效的,具有很大的潜力。本研究对裂隙红砂岩试样进行了变裂隙角度单轴压缩下的EP监测试验。采用岩石破坏过程中EPs的Hurst统计特征和benioff型幂律分析EPs的尺度不变性及其与损伤演化的关系。进一步提出了基于贝尼奥夫势和预警评估系统的破坏预测方法,实时预测岩石潜在失稳的破坏时间范围。结果表明:随着裂纹角度的增大,试样的力学强度和宏观裂纹数降低,EPs的功率率增长趋势延迟;靠近裂纹扩展路径的EP强度增大,这与局部损伤和移动带电位错有关。所有试样的贝尼奥夫势均表现为幂律性质,且与内部损伤演化密切相关。随着剩余破坏时间的减小,局部时间窗口的变幂指数mt逐渐增大,逼近1的上限,表明岩石发生潜在灾难性破坏的可能性增大。利用具有mt上下限的贝尼奥夫功率特性实时预测岩石破坏时间范围,预测精度随着岩石破坏程度的逼近而提高。
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来源期刊
Engineering Geology
Engineering Geology 地学-地球科学综合
CiteScore
13.70
自引率
12.20%
发文量
327
审稿时长
5.6 months
期刊介绍: Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.
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