Comparative study on the “optic-electric” monitoring method for the deformation and failure of surrounding rock in stopes

Sun, Binyang; Zhang, Pingsong; Fu, Maoru

doi:10.1007/s11069-021-04952-x

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…The goal of the combined weight of each level is calculated through the establishment of a hierarchical structure or model, the construction of a judgmental matrix, singlelevel ordering, total level ordering, a consistency check, etc. and is a systematic method of objective and optimized decision-making [22][23][24].…”

Section: Calculation Methods and The Study Areamentioning

confidence: 99%

Quantitative Identification of Grouting Effect of Working Face Floor with Multifactor Set

et al. 2022

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The deep coal mining in the North China type of coalfield is generally threatened by the underlying limestone water of Taiyuan Formation and Ordovician. The occurrence of water inrush can be avoided effectively by applying grouting reinforcement technology to the coal floor. However, the reinforcement treatment of the coal floor belongs to underground concealment engineering, and it is of great significance for the safe production of the coal mine by scientifically and comprehensively evaluating the technical method of the grouting effect on the working face floor. In this study, the optimal transfer matrix is used to construct the judgment matrix that meets the consistency requirements; the analytic hierarchy process is improved; and the grouting effect of the working face floor is evaluated by fuzzy comprehensive evaluation based on several factors of the grouting effect. Taking the grouting engineering of the 15092 working face of the Guhanshan Mine as an example, the evaluation of the grouting effect based on four evaluatory indices have been refined: dynamic hydrological features, grout amount, grouting inspection hole, and geophysical prospecting have been refined. Based on the improved analytic hierarchy process (AHP), the result of the grouting effect can be divided into four levels: distinction, good, average, and poor. The study would play a very important role in the evaluation of the grouting reinforcement of the working face floor and the practice of coal mine production safety.

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Section: Calculation Methods and The Study Areamentioning

confidence: 99%

Quantitative Identification of Grouting Effect of Working Face Floor with Multifactor Set

et al. 2022

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“…In recent years, with the development of electrical exploration techniques and monitoring equipment, PEM technology, one of the direct current methods, had been widely applied and popularized in the evaluation of surrounding rock deformation and failure, groundwater seepage monitoring, grouting detection, and effect evaluation, water-rich abnormal area identification, etc. Compared with the other direct current methods, PEM has huge advantages of boasting faster data collection with parallel, efficient, and massive data collection and processing (Sun et al 2021;Bharti et al 2022).…”

Section: Pem Technologymentioning

confidence: 99%

“…In China, coal accounts for a large proportion of energy production and consumption (Fan et al 2019;Liu et al 2021;Sun et al 2021). In recent years, the mining-induced eco-geological environment and public health problems, such as water shortages, water pollution, vegetation death, desertification, and high human health risk (Andreas & Nikola 2011;Liu et al 2018;Wang et al 2018;Xue et al 2018;Tian et al 2020), had received more and more attention.…”

Section: Introductionmentioning

confidence: 99%

Development process and height of the mining-induced water fractured zone over the longwall goaf

2023

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Providing accurate mining-induced water fractured zone over the longwall goaf prediction methods has become increasingly significant because of the grand economic and technological challenge for deeper extraction. Taking the No. 839 coalface in the Qingdong mining area, as a case study, a comprehensive study of the water-flowing fractured zone (WFFZ) formation process and peak height were carried out by the radial basis function (RBF) neural network model, parallel electrical monitoring (PEM) technology, numerical simulation model and the empirical formula method. The results show that the destruction does not occur simply layer-by-layer from the bottom up. Rather, the fractured areas appear first in soft layers above the goaf. With the advance of footage, the destruction gradually extends from soft layers to hard layers, and the WFFZ is formed when the fractured areas fit closely together. Also, the change process of the WFFZ shape is closely related to rock mass heterogeneity. In addition, the results of the comparison suggest that the RBF neural network model had more accuracy in predicting the height of the WFFZ than the numerical simulation model and empirical formula method.

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“…A fluid-solid coupling material model was established to study the evolution and failure characteristics of floor cracks in confined water mining [11]. The evolution characteristics of strain field and geoelectric field under mining conditions were compared and analyzed to reveal the development mechanism of rock deformation and failure [12]. At the same time, many researchers have used different software to carry out numerical simulations under different conditions [10,13].…”

Section: Introductionmentioning

confidence: 99%

Floor Disturbance and Failure Characteristics of Super-Large Mining Height Working Face

Zhao

et al. 2022

Geofluids

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The failure depth of the working face floor caused by mining is a key parameter to predict water inrush from the working face floor. Extensive research has been conducted on the floor failure zone of the working face. However, in recent years, there have been few studies on the floor failure law of the working face with a super-large mining height (over 20 m) in the western mining area of China. In this paper, the working face with a super-large mining height of 24 m in Longwanggou Coal Mine was studied. Electrical monitoring and numerical simulation of the working face floor were carried out. The measured floor failure depth of the working face is 15 m while the average numerical simulation result is 11 m. When compared with the calculation results of the statistical analysis formulas, the floor failure depth of the working face with a super large mining height obtained from field measurement and numerical simulation is smaller. The reason for the smaller failure zone of the floor of the super large mining height working face is that the falling roof inhibits the pressure relief of the floor, the large mining height reduces the advance pressure, and the shear stress of the floor decreases. The research methods and findings are of great significance to the prediction of floor failure and water inrush in working face with a super-large mining height, the prevention and control of water disasters in coal seam roof and the monitoring of mine pressure.

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Comparative study on the “optic-electric” monitoring method for the deformation and failure of surrounding rock in stopes

Cited by 9 publications

References 8 publications

Quantitative Identification of Grouting Effect of Working Face Floor with Multifactor Set

Quantitative Identification of Grouting Effect of Working Face Floor with Multifactor Set

Development process and height of the mining-induced water fractured zone over the longwall goaf

Floor Disturbance and Failure Characteristics of Super-Large Mining Height Working Face

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