Experimental Study on the Features of Infrasonic Waves of Sandstone under Shear Load
文献类型:期刊论文
作者 | Qiao, Chen1,2,3; Xu, Fenglin4; Su, Pengcheng5; Liu, Yang2; Zhang, Yifang2; Zhu, Honglin6![]() ![]() |
刊名 | APPLIED SCIENCES-BASEL
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出版日期 | 2021-12-01 |
卷号 | 11期号:23页码:22 |
关键词 | sandstone shear load infrasonic wave automatic identification geologic hazard |
DOI | 10.3390/app112311552 |
通讯作者 | Huang, Man(hmcadx@126.com) |
英文摘要 | The shear failure of rock is a major cause of rock slope instability and consequent landslides. To determine the forming mechanism of infrasonic waves during the loss of stability of sandstone slopes, experiments were carried out using a shear loading device and an infrasonic monitoring device. In the experiments, infrasonic wave events were identified, and the characteristic parameters of infrasonic waves were extracted to analyze the features of the infrasonic wave response during the shear failure of sandstone. The study results show that: (1) the whole process of shear failure was associated with infrasound events. A normalized energy cumulative coefficient of over 0.6 and a normalized infrasound rate of over 0.89 are the key time nodes for alarming landslide; (2) with an increase in sample size, the shear resistance of the sample increases logarithmically, the total energy of infrasound events increases exponentially, and the average dominant frequency of infrasound events decreases linearly; and (3) with an increase in axial pressure, the shear of the rock increases almost linearly, the number of infrasound events increases linearly, and the average dominant frequency of infrasound events increases exponentially. The research results provide important guidance for the dynamic monitoring and evaluation of the stability of sandstone slopes and can provide a theoretical reference for landslide alarming of sandstone slopes using infrasonic waves. |
资助项目 | Key Laboratory of Mine Geological Hazard Mechanism and Prevention and Control[2018-08] ; Xigaze City Science and Technology Plan Project[RKZ2020KJ01] ; Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province[ZJRMG-2019-01] ; Chongqing Natural Science Foundation project[cstc2019jcyjmsxm0749] ; Chongqing Natural Science Foundation project[cstc2021jcyj-msxmX0187] ; Ecological environment survey and ecological restoration technology demonstration project in the water-level-fluctuating of the Three Gorges Reservoir[5000002021BF40001] ; Tibet Autonomous Region Natural Resources Department's prevention and control capacity system construction project[2020-0890-2] |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000743161000001 |
出版者 | MDPI |
源URL | [http://119.78.100.138/handle/2HOD01W0/14891] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Huang, Man |
作者单位 | 1.Key Lab Mine Geol Hazard Mech & Prevent & Control, Xian 710054, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green Intelligent Technol, Chongqing 400714, Peoples R China 3.Shaoxing Coll Arts & Sci, Key Lab Rock Mech & Geohazards Zhejiang Prov, Shaoxing 312000, Peoples R China 4.Chongqing Environm Protect Engn Technol Ctr Shale, Chongqing 408000, Peoples R China 5.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 6.Chongqing Technol & Business Univ, Grad Sch, Chongqing 400067, Peoples R China 7.Emergency Management Bur Emeishan City, Emeishan City 614200, Peoples R China 8.Chengdu Univ Informat & Technol, Coll Software Engn, Chengdu 610225, Peoples R China |
推荐引用方式 GB/T 7714 | Qiao, Chen,Xu, Fenglin,Su, Pengcheng,et al. Experimental Study on the Features of Infrasonic Waves of Sandstone under Shear Load[J]. APPLIED SCIENCES-BASEL,2021,11(23):22. |
APA | Qiao, Chen.,Xu, Fenglin.,Su, Pengcheng.,Liu, Yang.,Zhang, Yifang.,...&Liu, Dunlong.(2021).Experimental Study on the Features of Infrasonic Waves of Sandstone under Shear Load.APPLIED SCIENCES-BASEL,11(23),22. |
MLA | Qiao, Chen,et al."Experimental Study on the Features of Infrasonic Waves of Sandstone under Shear Load".APPLIED SCIENCES-BASEL 11.23(2021):22. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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