Monitoring prediction of a rockslide in an open-pit mine and numerical analysis using a material instability criterion

Li, Zhaohua; Jiang, Yuanjun; Tao, Zhigang; He, Manchao

doi:10.1007/s10064-017-1224-z

Cited by 14 publications

(24 citation statements)

References 30 publications

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“…It should 17 be noted that this rockslide was the second sliding in the same area, and there was another rockslide, induced by 18 excavation and occurred in 2011. It was also successfully predicted using the monitoring system, and the reliability 19 of this monitoring system for excavation-induced rockslides has been proven (Li et al, 2018b). One of the 20 objectives of this study is to present the monitoring of the second rockslide in 2016, and to discuss the adaptability 21 of the monitoring system for rockslides induced by different triggering factors.…”

Section: Introductionmentioning

confidence: 96%

“…The hanging wall is an anti-inclined rock slope consisting 31 principally of migmatitic gneiss and two-mica quartz schist with a hardness of 13-16, and a slope of 46º-48º. The 32 weak zone consisted of the strongly fragmented two-mica quartz schist, with a thickness of about 2m and a length of 33 about 600m (Li et al, 2018b). This weak zone was considered to run through the heading wall, and controlled the 34 stability of the slope on the heading wall.…”

mentioning

confidence: 99%

“…while offering constant resistance. The development of the CRLD cable not only reinforced the anchoring ability, 1 but also made it possible to monitor crustal stress in deep strata, and it has successfully predicted the rockslide 2 occurred in 2011, due to the excavation on the toe of the slope (Li et al, 2018b). As shown in Fig.5 (a), the CRLD 3 cable is composed of a piston-like cone body installed on a bundle of cables (6-8 cables), a sleeve pipe with an inner 4 diameter slightly smaller than the diameter of the large-end of the cone; a face pallet served as the retention elements.…”

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confidence: 99%

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Real-time monitoring and FEMLIP simulation of a rainfall-induced rockslide

Li¹,

Tao²,

Jiang³

et al. 2018

Preprint

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Abstract. Rockslides are a common and devastating problem affecting mining and other engineering activities all 11 over the world; consequently, there have been many studies into their prediction and prevention. This study focused 12 on a recent rockslide in an open pit mine in Liaoning province, China. The stability of the rock slope under 13 excavation and rainfall conditions was monitored using an efficient real-time monitoring system. A further 14 numerical analysis was performed using the Finite Element Method with Lagrangian Integration Points (FEMLIP), 15 and the normalized global second order work was implanted to assess the structure instability as a safety factor. In 16 fact for the future it would be very interesting to compare in real time measurements and simulations, and not only 17 to develop back computations after failure. The numerical results indicate that the rock slope remained stable during 18excavation, yet lost stability after subsequent rainfall. Water infiltration, along with a major geological discontinuity, 19 degraded the strength of the weak zone and induced the rockslide. The monitoring approach presented its robustness 20 and generality, and was worth being generalized. The numerical approach proposed the evolution of the safety factor, 21 comparing the monitoring data, and the mechanism of the rockslide was determined. It could be used as an assistant 22 tool for the disaster predictions. 23 24

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Section: Introductionmentioning

confidence: 96%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Real-time monitoring and FEMLIP simulation of a rainfall-induced rockslide

Li¹,

Tao²,

Jiang³

et al. 2018

Preprint

Self Cite

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show abstract

“…It should be noted that this rockslide was the second slide in the same area, and there was another rockslide, induced by excavation, which occurred in 2011. It was also successfully predicted using the monitoring system, and the reliability of this monitoring system for excavation-induced rockslides has been proven (Li et al, 2018b). One of the objectives of this study is to present the monitoring of the second rockslide in 2016, and to discuss the adaptability of the monitoring system for rockslides induced by different triggering factors.…”

Section: Introductionmentioning

confidence: 99%

“…1a, and the monitored data are sensed by the receiver in the Beidou satellite and then transmitted to the indoor monitoring center. By means of the satellite system, the monitored anchorage force can be transmitted once every 1-2 h in real mining projects (Li et al, 2018b).…”

Section: Introductionmentioning

confidence: 99%

Real-time monitoring and FEMLIP simulation of a rainfall-induced rockslide

Tao

Jiang

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Rockslides are a common and devastating problem affecting mining and other engineering activities all over the world; consequently, there have been many studies into their prediction and prevention. This study focused on a recent rockslide in an open-pit mine in Liaoning Province, China. The stability of the rock slope under excavation and rainfall conditions was monitored using an efficient real-time monitoring system. A further numerical analysis was performed using the finite element method with Lagrangian integration points (FEMLIP), and two forms of the normalized global second-order work were calculated to analyze the stability of the rock slope. In fact for the future it would be very interesting to compare measurements and simulations in real time, and not only to develop back computations after failure. The numerical results indicate that the rock slope remained stable during excavation, yet lost stability after subsequent rainfall. Water infiltration, along with a major geological discontinuity, degraded the strength of the weak zone and induced the rockslide. The monitoring approach presented its robustness and generality, and was worth being generalized. The numerical approach proposed the evolution of the safety factor, the monitoring data were compared, and the mechanism of the rockslide was determined. It could be used as an assistant tool for disaster prediction.

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