Distribution characteristics analysis of pressure-arch in horizontal stratified rocks under coal mining conditions

Wang, Shuren; Li, Ning; Li, Chun-liu; Cao, Chen

doi:10.17559/tv-20141207160855

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Dang et al (2021) used a numerical simulation to determine that the pressure distribution of hydraulic support in a simulated stope was rough "Λ" in the middle and both sides of the stope. Wang et al (2015) analyzed the distribution characteristics of the pressure arch of a horizontal layered rock mass in the process of coal seam mining and concluded that the lateral pressure coefficient had a significant influence on the pressure arch. Wang et al (2019b) established mechanical models for a symmetrical compression arch and concluded that upper broken rocks formed a symmetrical pressure arch in the near-field, and a far-field pressure arch formed in the mining field.…”

Section: Open Accessmentioning

confidence: 99%

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Dong

Xie²,

Jiang³

et al. 2023

Front. Earth Sci.

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Introduction: In the coal mining process, the intense mining pressure is an important factor hindering the safe and efficient production of the working face. In severe cases, it causes deformations in roadways such as roof breakages and rockbursts, and leads to instability. This can result in the roof falling over a large area and the coal wall, thereby inducing dynamic disasters. These aspects have restricted the economic benefits of coal.Methods: In this study, we set four model limitations based on the limited scope of action of the mining pressure itself and the quantitative relationships between mining pressures in different regions. A multiple linear regression model with these limitations is proposed for predicting the mining pressure for preventing roof breakages and rockbursts. Based on a hydraulic support monitoring dataset from a fully mechanized caving face of coal mining, the mining pressure prediction model is trained by using the first 70% of the dataset. And the linear regression coefficient of the model and the predicted value of the mining pressure are obtained. Then, the last 30% of the dataset was used for the validation of the model.Results: The research results show that the constrained multiple linear regression model can achieve remarkable prediction results. According to predictions of tens of thousands of on-site mining pressure datasets, the predicted data and actual pressure data have the same change trend and maintain a low relative error.Discussion: Therefore, after real-time mining pressure monitoring, the system obtains the roof pressure of the fully mechanized mining face. According to the dataset, the proposed prediction model algorithm quickly predicts the roof pressure value of the next mining section and effectively forewarns roof breakages and other accidents.

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Section: Open Accessmentioning

confidence: 99%

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Dong

Xie²,

Jiang³

et al. 2023

Front. Earth Sci.

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“…The macroscopic pressure arch was the macro bearing structure of the overburden rock in the mining field, and the bearing capacity of different forms was diversity. The pressure arch size of the surrounding rock in the far field affected the range of the overburden broken zone in the near field [3,5]. The alternating instability of the caving zone led to the occurrence of the strong (weak) weighting periodically during shallow coal mining [4].…”

Section: Geofluidsmentioning

confidence: 99%

“…The stability of the surrounding rock is the key problem which restricts the safety mining [1,2]. With the working face advancing, the pressure arch in the surrounding rock can be formed and the caving zone below the pressure arch can expand gradually [3]. Determination of the forming conditions and arching characteristics of the pressure arch in the mining field and analysing the nonuniform weighting mechanism on the working face during shallow coal mining with thick bedrock are the urgent problems to be solved.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Performances of Pressure Arch in Thick Bedrock during Shallow Coal Mining

Wang

Zhao

et al. 2018

Geofluids

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Due to the periodicity of mine pressure, it can easily lead to a wide-range damage of the overburden rock under shallow coal mining conditions, and the falling of the overburden rock is usually a serious threat to the mining safety. Based on the monitoring data of mine pressure in a typical shallow coal mine in northern China, the mechanical model of the surrounding rock in the mining field was built and the identification indicators of the pressure arch after coal mining was defined. Then, the arching mechanism, the stress distribution characteristics in different positions, and the bearing capacity of the pressure arch were analysed, and the evolution characteristics of the pressure arch under shallow horizontal coal mining were verified by numerical simulation and physical experiment. Results show that there is a core-bearing zone in the pressure arch, and the width of the core zone determines the bearing capacity of the pressure arch. The evolution of the pressure arch affects the formation and development of the caving arch of the loose zone in the mining field. The conclusions obtained in the study are of important theoretical value to direct the similar engineering practice.

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“…In the case of a mining drill system, Jiang et al analysed pressure values applied during machining, and the effects of the intensity of cooling on cracks and breaks in natural stones [13]. Also in the case of mining-related machining, the damage processes of machined stone types were examined by Wang et al [14], who used a finite element simulation method. Revealing results were published by Zhai et al [15], who examined surface damaging and breaking effects of different frequency vibration waves in the case of granite materials.…”

Section: Literature Reviewmentioning

confidence: 99%

Researching the Effects of Feedrate and Diamond Grain Size on Edge Chipping of Milled Granites

Gyurika

2018

Teh. vjesn.

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Natural stones are common and preferred materials in the construction industry and in manufacturing technology, too. In every field of their application, it is outstandingly important that chipping caused by machining be minimised on the products' edges. The primary aim of this research was to examine chippings and damages at the edges of sample granite surfaces. The chippings and damages under scrutiny in this paper were caused by milling machining, and such machining was executed using different feedrate speeds and diverse diamond grain sizes. Within the scope of this paper, the results of the experiments were used to generate recommendations concerning the minimization of edge chipping. The results of the study show that the diamond grains' average size in the segments of the milling tools and the reduction of the applied feedrate obviously influences the magnitude of the rate of average edge chipping.

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Distribution characteristics analysis of pressure-arch in horizontal stratified rocks under coal mining conditions

Cited by 9 publications

References 5 publications

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Mechanical Performances of Pressure Arch in Thick Bedrock during Shallow Coal Mining

Researching the Effects of Feedrate and Diamond Grain Size on Edge Chipping of Milled Granites

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