Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer

Zhou, Dawei; Wu, Kan; Miao, Xiaoyu; Li, Liang

doi:10.1007/s10064-016-0961-8

Cited by 23 publications

(16 citation statements)

References 16 publications

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“…The best individuals of each species are stored in the elite population to find out the best individuals of the elite population and determine whether the current optimization value is the same as the previous optimization value. If the value is the same, jump to step (8), and if the value is different, do the steps (7). (7) The crossover probability Pc and mutation probability Pm of each population were calculated, and then the selection, crossover and mutation of each population were performed to generate the new species group and skip to step (3).…”

Section: ) Mpgaibmentioning

confidence: 99%

“…It is generally believed that when the thickness of the unconsolidated layer exceeds 50 m, it is called a thick unconsolidated layer [7]. Compared with the conventional mining conditions, the mining subsidence mechanism and time-space law of thick unconsolidated layers are quite different, for example, the maximum surface subsidence value is greater than the coal seam thickness, the surface movement range is large, and the surface subsidence is intense during the mining period [8], [9]. It is generally believed that the surface subsidence is composed of two parts: the subsidence caused by the bedrock and the subsidence caused by the unconsolidated layers.…”

Section: Introductionmentioning

confidence: 99%

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Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area

Chi

Wang

et al. 2021

IEEE Access

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Accurately forecasting the scope of coal mining subsidence area is of great significance to the protection of surface structures. Due to the peculiarities of the unconsolidated layers rock formation, the surface movement of the thick unconsolidated layers mining area converges slowly at the boundary of the basin, and the boundary of the subsidence basin is larger than under conventional conditions. It is found that the existing models have a poor prediction effect at the boundary, and the predicted subsidence basin range is smaller than the actual basin range. To solve this problem, a new surface deformation prediction model based on Boltzmann function (IB) is proposed in this paper. Aiming at the problem that the model function is highly nonlinear and difficult to obtain parameters, the multi-population genetic algorithm (MPGA) is introduced into the parameter solution of the prediction model, and the parameter calculation model based on multi-population genetic algorithm (MPGAIB) is constructed. The simulation experiment and engineering example analysis show that both the overall fitting effect and the fitting effect at the boundary of IB model are closer to the actual situation, The MPGAIB model has good ability to anti-random error and gross error, and the result is stable. INDEX TERMSmining subsidence, parameter calculation, Probability integral method, prediction model, thick unconsolidated layers List of abbreviations IB-Improved Boltzmann function MPGA-Multi-population genetic algorithm MPGAIB -Multi-population genetic algorithm parameter model PIM-Probability integral method SIE-Semi-infinitive Extraction FE-Finite Extraction FEAS-Finite extraction along strike FEAD-Finite extraction along dip NUM-The number of populations LNUM-The number of individuals in each population GGAP-The generation gap NVAR-The dimension of the variable Pc-The crossover probability Pm-The mutation probability MAXGEN -The optimal individual maintains the least algebra RMSE-Root Mean

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Section: ) Mpgaibmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area

Chi

Wang

et al. 2021

IEEE Access

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“…Many scholars have researched these problems. Miao et al [7][8][9], Zhang et al [10][11][12], and Qiang et al [13,14] have advanced the equivalent mining height theory, key layer control theory, main roof control theory, and immediate roof control theory. ese studies concluded that solid backfill mining can be regarded as extremely thin coal seam mining, allowing the surface subsidence to be controlled.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Control Effect and Parameter Optimisation of Urban Surface Deformation in Underground Coal Mining with Solid Backfilling

Wang

Zhang

et al. 2021

Advances in Civil Engineering

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To solve the problems of surface deformation and destruction of buildings caused by urban mining and realise the coordinated development of mining cities, the solid backfilling method was used to extract coal resources beneath the buildings of Tangshan. Based on surface deformation monitoring data of the continuously operating reference station (CORS) system for the past 5 years, the surface deformation process caused by solid backfilling was analysed. The final results revealed a maximum surface subsidence of 66 mm in the T zone coal area and 31 mm in the F zone area. Furthermore, the surface control effects of the caving method and the solid backfilling method were compared and analysed, and it was shown that solid backfilling could meet the surface building setup requirements. Moreover, based on the probability integral method, the effects on surface deformation due to the surface length of the F zone, compression ratio, and coal pillar width were analysed, and the effects on the prediction results due to the subsidence factor, tangent of the major effective angle, and offset distance of the inflection point were studied. The results showed that the compression ratio is the main factor controlling the surface deformation and that it should be kept above 80% for solid backfilling of urban mines. The subsidence factor should be 0.82, and the tangent of the major effective angle should be 2.15 when the surface subsidence of solid backfilling is to be predicted. This paper provides a technical reference for the realisation of urban mining with solid backfilling.

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“…Currently, the probabilistic integral steady-state model is the leading method to obtain prediction parameters [1], [3]- [5]; that is, the model parameters are evaluated using the final subsidence data after the mining-caused surface movement deformation. Thus, the method needs to acquire the surface-stable subsidence data for parameter calculation.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle (UAV) Photogrammetry Technology for Dynamic Mining Subsidence Monitoring and Parameter Inversion: A Case Study in China

et al. 2020

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This study mainly presents the method for monitoring the surface dynamic subsidence basin (SDSB) caused by underground coal mining and obtaining parameters of mining subsidence (PMS) in the short term by using an unmanned aerial vehicle (UAV) Photogrammetry Technology. The basic ideas and methods are proposed; that is, the two-stage surface digital elevation model (DEM) is obtained in the short term by UAV; The SDSB is obtained through two phases of DEM subtraction; Based on the dynamic inversion method established in this study, the PMS was obtained. The UAV method was used to monitor the Wangjiata coal mine in Inner Mongolia of China three times in three months to obtain the three phases of DEM; we obtained the two phases SDSB by the three phases of DEM subtraction. The accuracy of DEM and SDSB were 118 mm and 121 mm respectively, Although the accuracy cannot fulfill the requirements of mining subsidence, the PMS was obtained by dynamic inversion method of full subsidence basin fitting, which has better resistance to errors; hence, the obtained PMS are reliable. Based on the engineering application, this study concludes that as a new technology, UAV photogrammetry technology can obtain the SDSB of coal mining areas in a short period with reliable PMS. Meanwhile, it has the advantages of low cost, flexible maneuverability, and so on, and overcomes the shortages of traditional observation stations, which has long observation time and high labor intensity, needs to bury fixed measuring points and easily lose them, and just has a small amount of ''spot-like'' observation data that cannot reflect the deformation characteristics of the whole subsidence basin. Furthermore, it is feasible to apply this method to mining subsidence monitoring and parameter inversion, and it has a great application prospect for the mining area purposes.INDEX TERMS UAV photogrammetry technology, surface dynamic subsidence basin, parameters of mining subsidence, probability integration model, dynamic inversion method.

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Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer

Cited by 23 publications

References 16 publications

Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area

Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area

Analysis of the Control Effect and Parameter Optimisation of Urban Surface Deformation in Underground Coal Mining with Solid Backfilling

Unmanned Aerial Vehicle (UAV) Photogrammetry Technology for Dynamic Mining Subsidence Monitoring and Parameter Inversion: A Case Study in China

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