Experimental study on instability mechanism and critical intensity of rainfall of high-steep rock slopes under unsaturated conditions

Xiaoshuang Li ¹Qihang Li ²Yunmin Wang ³Wei Liu ²Di Hou ⁴Wenbo Zheng ⁵Xiong Zhang²

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作者信息

1. School of Urban Construction,Changzhou University,Changzhou 213164,China;College of Civil Engineering,Qilu Institute of Technology,Jinan 250200,China;Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province,Shaoxing 312000,China
2. School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China
3. Sinosteel Maanshan General Institute of Mining Research Co.LTD.,Maanshan 243000,China
4. Guizhou Survey and Design Research Institute for Water Resources and Hydropower,Guiyang 550001,China
5. School of Engineering,University of Northern British Columbia,Prince George V2K3V3,Canada
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Abstract

Two critical factors,namely intense precipitation and intricate excavation,can trigger rock mass disasters in mining operations.In this study,an indoor rainfall system was developed to precisely regulate the flow and intensity of precipitation.A large-scale model experiment was conducted on a self-designed physical simulation experiment platform to investigate the failure and instability of high-steep rock slopes under unsaturated conditions.The real-time reproduction of the progressive failure process in high-steep rock slopes enabled the determination of the critical rainfall intensity and revealed the mechanism underlying slope instability.Experiment results indicated that rainfall may be the primary factor contributing to rock mass instability,while continuous pillar mining exacerbates the extent of rock mass failure.The critical failure stage of high-steep rock slopes occurs at a rainfall intensity of 40 mm/h,whereas a rainfall exceed-ing 50 mm can induce critical instability and precipitation reaching up to 60 mm will result in slope fail-ure.The improved region growing segmentation method(IRGSM)was subsequently employed for image recognition of rock mass deformation in underground mines.Herein an error comparison with the simple linear iterative cluster(SLIC)superpixel method and the original region growing segmentation method(ORGSM)showed that the average identification error in the X and Y directions by the method was reduced significantly(1.82％and 1.80％in IRGSM;4.70％and 6.26％in SLIC;9.45％and 12.40％in ORGSM).Ultimately,the relationship between rainfall intensity and failure probability was analyzed using the Monte Carlo method.Moreover,the stability assessment criteria of rock slope under unsatu-rated condition were quantitatively and accurately evaluated.

Key words

Open-pit to underground mining/Rock slope/Rainfall infiltration/Excavation unloading/Similar physical model/Image recognition

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基金项目

Research Fund of National Natural Science Foundation of China(NSFC)(42277154)

graduate research and innovation foundation of Chongqing,China(CYB22023)

Guizhou Province Science and Technology Planning Project(Guizhou science)

Guizhou Province Science and Technology Planning Project(technology cooperation support[2022]common 229)

National Natural Science Foundation of Shandong Province of China(NSFC)(ZR2022ME188)

State Key Laboratory of Coal Resources and Safe Mining,CUMT(SKLCRSM22KF009)

Open Fund of National Engineering and Technology Research Center for Development and Utilization of Phosphate Resources of China(NECP2022-04)

出版年

2023

矿业科学技术学报(英文版)

中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDEI

影响因子：1.222

ISSN：2095-2686

参考文献量8

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