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An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams

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Mining Science and Technology 2009年第5期19卷 592-598页

作者： LUO Yi CHENG Jian-wei Department of Mining Engineering West Virginia University Morgantown WV USA

The distribution of the final surface subsidence basin induced by longwall operations in inclined coal seam could be significantly different from that in flat coal seam and demands special prediction methods. Though many empirical prediction methods have been developed, these methods are inflexible for varying geological and mining conditions. An influence function method has been developed to take the advantage of its fundamentally sound nature and flexibility. In developing this method, significant modifications have been made to the original Knothe function to produce an asymmetrical influence function. The empirical equations for final subsidence parameters derived from US subsidence data and Chinese empirical values have been incorpo- rated into the mathematical models to improve the prediction accuracy. A corresponding computer program is developed. A number of subsidence cases for longwall mining operations in coal seams with varying inclination angles have been used to demonstrate the applicability of the developed subsidence prediction model.

关键词： subsidence prediction influence function method inclined coal seam longwall mining

Residual subsidence time series model in mountain area caused by underground mining based on GNSS online monitoring

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International Journal of Coal Science & Technology 2024年第2期11卷 173-186页

作者： Xugang Lian Lifan Shi Weiyu Kong Yu Han Haodi Fan School of Mining Engineering Taiyuan University of TechnologyTaiyuanChina

The residual subsidence caused by underground mining in mountain area has a long subsidence duration time and great potential harm,which seriously threatens the safety of people's production and life in the mining ***,it is necessary to use appropriate monitoring methods and mathematical models to effectively monitor and predict the residual subsidence caused by underground *** with traditional level survey and InSAR(Interferometric Synthetic Aperture Radar)technology,GNSS(Global Navigation Satellite System)online monitoring technology has the advantages of long-term monitoring,high precision and more flexible monitoring *** empirical equation method of residual subsidence in mining subsidence is effectively combined with the rock creep equation,which can not only describe the residual subsidence process from the mechanism,but also predict the residual ***,based on GNSS online monitoring technology,combined with the mining subsidence model of mountain area and adding the correlation coefficient of the compaction degree of caving broken rock and the Kelvin model of rock mechanics,this paper constructs the residual subsidence time series model of arbitrary point on the ground in mountain *** the example,the predicted results of the model in the inversion parameter phase and the dynamic prediction phase are compared with the measured data *** results show that the model can carry out effective numerical calculation according to the GNSS monitoring data of any point on the ground,and the model prediction effect is good,which provides a new method for the prediction of residual subsidence in mountain mining.

关键词： Underground mining in mountain area Residual subsidence GNSS online monitoring Mathematical model subsidence prediction

A semi-infinite beam theoretical model on predicting rock slope subsidence induced by underground mining

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Journal of Mountain Science 2024年第2期21卷 633-647页

作者： LIU Xinrong WANG Nanyun ZHONG Zuliang DU Libing LIANG Erwei School of Civil Engineering Chongqing UniversityChongqing 400045China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing 400044China Key Laboratory of New Technology for Construction of Cities in Mountain Area of Ministry of Education Chongqing 400045China School of Geoscience and Technology Southwest Petroleum UniversityChengdu 610500China

When the mining goaf is close to the cliff,rock slope subsidence induced by underground mining is significantly affected by its boundary *** this study,an analytical method is proposed by considering the key strata as a semi-infinite Euler-Bernoulli beam rested on a Winkler foundation with a local subsidence *** analytical solutions of deflection are derived by analyzing the boundary and continuity conditions of the ***,the analytical solutions are verified by the results from experimental tests,FEM and InSAR,*** that,the influence of changing parameters on deflections is studied with sensitivity *** results show that the distance between goaf and cliff significantly affects the deflection of semi-infinite *** response of semi-infinite beam is obviously determined by the length of goaf and the bending stiffness of *** comparisons between semi-infinite beam and infinite beam illustrate the ascendancy of the improved model in such problems.

关键词： Key strata Mining rock slope Winkler foundation Euler-Bernoulli beam subsidence prediction

An improved influence function method for predicting subsidence caused by longwall mining operations in inclined coal seams

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International Journal of Coal Science & Technology 2015年第3期2卷 163-169页

作者： Yi Luo Department of Mining Engineering West VirginiaUniversity Morgantown WV USA

prediction of surface subsidence caused by longwall mining operation in inclined coal seams is often very challenging. The existing empirical prediction methods are inflexible for varying geological and mining conditions. An improved influence function method has been developed to take the advantage of its fundamentally sound nature and flexibility. In developing this method, the original Knothe function has been transformed to produce a continuous and asymmetrical subsidence influence function. The empirical equations for final subsidence parameters derived from col- lected longwall subsidence data have been incorporated into the mathematical models to improve the prediction accuracy. A number of demonstration cases for longwall mining operations in coal seams with varying inclination angles, depths and panel widths have been used to verify the applicability of the new subsidence prediction model.

关键词： subsidence prediction Influence function method Inclined coal seam Longwall mining

Modeling of time dependent subsidence for coal and ore deposits

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International Journal of Coal Science & Technology 2015年第4期2卷 287-292页

作者： Ryszard Hejmanowski AGI-I University of Science and Technology Cracow Poland

Coal and ore underground mining generates subsidence and deformation of the land surface. Those defor- mations may cause damage to buildings and infrastructures. The environmental impact of subsidence will not be accepted in the future by the society in many countries. Especially acceptance of the ground deformations decreases every year there, where the mining regions are densely urbanized, the The only solution is to limit the subsidence or its impact on the infrastructure. The first is not rentable for the mining industry, the second depends on the precise subsidence prediction and good preventing management involved in the mining areas. The precision of the subsidence prediction depends strictly on the mathematical model of the deformation phenomenon and on the uncertainty of the input data. The subsidence prediction in the geological conditions of the raw materials used to be made on the basis of numerical modeling or the stochastic models. A modified solution of the stochastic model by Knothe will be presented in the paper. The author focuses on the precise description of the deposit shape and on the time dependent displacements of the rock mass. A two parameters＇ time function has been introduced in the algorithm.

关键词： subsidence prediction Influence function Modeling in time

THE APPLICATION OF ACOUSTIC LOGGING METHOD IN THE MODEL AND PARAMETERS IDENTIFICATION OF ROCK MASS

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Journal of Coal Science & Engineering(China) 1999年第1期5卷 38-43页

作者：于师建

This paper describes the new method that is introduced into prediction of subsidence using system engineering method with acoustic logging and density logging. According to the result of acoustic logging, the real and complex rock beds are divided into a set of different bed groups and the equivalent mechanical model is to be built. Based on the modern control theory,according to the input data (convergence or settlement of the roof) and the output data (surface movement and deformation) of the system, the static parameters of equivalent rock beds can be derived from back calculation using the optimum method. Then the reqression relationship between the dynamic and static parameters can be built. So the prediction of rock and ground movements for other areas in the same district can be done, when using this relationship with the acoustic logging data and density logging data in situ.

关键词： model and parameters identification p-w velocity subsidence prediction