Study on the failure mechanism of rock mass around a mined-out area above a highway tunnel – Similarity model test and numerical analysis

Zhou, Yu; Feng, Shiwen; Li, Jianwang

doi:10.1016/j.tust.2021.104182

Cited by 27 publications

(6 citation statements)

References 21 publications

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“…Srivastava et al used self-potential and electrical resistivity tomography techniques to monitor the deformation of the abandoned roadways and surface in the old mining area under the railway, and they established a stability evaluation model for the abandoned mines [8]. Zhou et al carried out indoor model test and numerical simulation to reveal the deformation characteristics of surrounding rock during tunnel excavation under the mined-out areas [14]. Yi et al established an indoor test model to reveal the influence of long-term cyclic dynamic load of high-speed railway on the cumulative deformation of subway tunnel lining [15].…”

Section: State Of the Artmentioning

confidence: 99%

Cumulative Deformation Analysis of Foundation of Mined-Out Areas under Dynamic Loading - a Case Study of Taijiao High-Speed Railway

2023

Teh. vjesn.

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Since there is a safety risk of cumulative deformation exceeding the limit when high-speed rail passes through the mined-out areas, for the special needs of risk control along the high-speed railway, taking the foundation of the mined-out areas of Dianshang coal mine under Taijiao high-speed railway as the background, the mechanical model of rotation structure of key block was established. The stability criterion of fracture structure rock of the mined-out area was proposed. Using self-developed similar model test and dynamic loading device, the evolution characteristics and deformation mechanism of foundation of the mined-out areas under long-term dynamic loading of the high-speed railway were analyzed. Results show that when the number of loading vibration exceeds 5 million times, the foundation of the mined-out areas will occur over all settlement and deformation. The cumulative deformation of the foundation in different buried depths has similar variation law with the increasing of excitation and all experience three stages: the slow growth stage, the fast growth stage, and the stable stage. The prediction model of cumulative deformation of the foundation of the mined-out areas with different damage degrees under the long-term dynamic loading was proposed. The model parameters are closely related to the damage degree of foundation of the mined-out areas. The conclusions obtained in this study provide a theoretical basis for the prediction and control of the cumulative deformation of the foundation of the mined-out areas under the dynamic loading of high-speed railway.

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Section: State Of the Artmentioning

confidence: 99%

Cumulative Deformation Analysis of Foundation of Mined-Out Areas under Dynamic Loading - a Case Study of Taijiao High-Speed Railway

2023

Teh. vjesn.

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“…In the study of the mechanism of geological disasters in mined-out areas, indoor experiments, numerical simulations, on-site monitoring and other methods have been used 22 – 31 . During indoor testing for investigating mined-out areas, similar materials have been selected for layered masonry simulation of different strata, mainly studying the deformation characteristics of the overlying rock in mined-out areas, with less consideration given to the deformation of loose layers 22 , 24 , 25 , 27 , 30 . In numerical simulation of mined-out areas, the discrete element method has often been employed, but the simulation results are greatly influenced by the calculation model and rock mechanics parameters 23 – 25 .…”

Section: Introductionmentioning

confidence: 99%

Deformation characteristics of overlying strata in room and pillar mined-out areas under coal pillar instability

Liu,

Gu,

Wang

et al. 2024

Sci Rep

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Under the condition of small roof deformation before the occurrence of fractures and collapse in room and pillar mined-out areas caused by coal pillar instability, the surface deformation may be large, which threatens the safety of ground structures. Interferometric synthetic aperture radar, geophysical exploration, geotechnical exploration and physical simulation tests were conducted to analyse the deformation and development mechanism of the overlying strata in the mined-out area in this case. The results show that in terms of surface deformation, the surface deformation caused by coal pillar instability in the room and pillar mined-out area exhibits the slow deformation stage, uniform deformation stage and accelerated deformation stage. In terms of deformation of overlying strata, after the completion of room and pillar mining, a strip-shaped deformation area and trapezoidal deformation area are developed in the overlying rock. With the occurrence of coal pillar instability, a trapezoidal deformation area and inverted funnel-shaped deformation area are developed in the overlying rock. The deformation characteristics of unconsolidated formations transition from trapezoidal deformation after room and pillar mining to funnel-shaped deformation due to coal pillar instability. Moreover, the maximum surface deformation point is located at the centre of the funnel. In terms of spatial morphology of mined-out area deformation, the maximum surface deformation point corresponds to the position of the initial coal pillar instability and the crack in the mined-out area roof along the vertical direction. The mined-out area treatment method can be optimized based on the deformation characteristics of the overlying strata in the room and pillar mined-out area under the condition of coal pillar instability.

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“…The tunnel is the "throat" of the highway. If an accident occurs in a tunnel, it will cause serious economic losses and even casualties [1]. It is an important tool for highway operation and tunnel safety to able to monitor the vehicles running in the tunnel in real time and provide early warning before or during an accident.…”

Section: Introductionmentioning

confidence: 99%

Optical fiber sensing and tensor AP clustering for high-speed road tunnel vehicle detection

Li,

Feng,

et al. 2024

ACETR

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Aiming at the problems of signal acquisition, feature extraction and vehicle recognition in highway tunnel vehicle detection, a new tunnel vehicle detection method is proposed by combining optical time-domain reflectometry distributed fiber sensing technology and tensor affine propagation clustering algorithm. Firstly, the distributed optical fiber system designed by optical time domain reflectometry was used to collect the running signals of tunnel vehicles and obtain the measurement data. Secondly, a high-order tensor sample set is constructed by using the spatial resolution of optical fiber as channel number and combining the feature number, time domain and frequency domain. Finally, tensor affine propagation clustering method and other clustering methods are used to test the accuracy. The test results show that the proposed method can better classify vehicles without destroying the original high-dimensional data structure. Meanwhile, the unsupervised clustering algorithm also reduces manual intervention in the identification process, increases the intelligence level of the whole vehicle detection model, and effectively improves the detection accuracy rate of tunnel vehicles.

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Study on the failure mechanism of rock mass around a mined-out area above a highway tunnel – Similarity model test and numerical analysis

Cited by 27 publications

References 21 publications

Cumulative Deformation Analysis of Foundation of Mined-Out Areas under Dynamic Loading - a Case Study of Taijiao High-Speed Railway

Cumulative Deformation Analysis of Foundation of Mined-Out Areas under Dynamic Loading - a Case Study of Taijiao High-Speed Railway

Deformation characteristics of overlying strata in room and pillar mined-out areas under coal pillar instability

Optical fiber sensing and tensor AP clustering for high-speed road tunnel vehicle detection

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