Ground movements modeling applying adjusted influence function

作     者：Agnieszka Malinowska Ryszard Hejmanowski Huayang Dai Agnieszka Malinowska;Ryszard Hejmanowski;Huayang Dai

作者机构：AGH University of Science and TechnologyAl.Mickiewicza 3030059 KrakowPoland China University of Mining and TechnologyBeijingD11 Xueyuan Road100083 BeijingChina 

出 版 物：《International Journal of Mining Science and Technology》 (矿业科学技术学报（英文版）)

年 卷 期：2020年第30卷第2期

页      面：243-249页

核心收录：

学科分类：081901[工学-采矿工程] 0819[工学-矿业工程] 07[理学] 08[工学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：This paper is funded by the national key project"The Belt and Road"talent recruitment project named:Comparison of Mining Subsidence Research in China and Poland(No.G2017001).Part of the research was financed from the Grant for Statutory Research AGH-University of Science and Technology in Krakow Poland No.16.16.150.545 

主　　题：Mining operation Modeling of surface deformations Stochastic models Probability integration method Influence function Salt hard coal mining copper ore mining 

摘      要：Mathematical modeling of surface deformations caused by underground mining operation is commonly carried out with use of empirical,numerical or stochastic *** of the most frequently applied model for prediction of ground deformation in many countries is Knothe *** model developed by Knothe belongs to the stochastic methods and is based on the influence *** China a prediction method named Probability Integration Method(PIF)was established by Liu Baochen and Liao Guohua based on the stochastic medium *** version of that model allows to predict ground movements caused by mining operation in extremely complex technical and geological *** model is commonly applied for coal,metal ore and salt *** article presents several modifications of the mathematical model used in China and *** model is very widespread in the world,therefore the generalizations proposed in the article can be implemented for the purposes of prediction surface deformations for various types of deposits in many *** presented generalizations were then tested on specific examples of coal mining,copper ore mining and rock salt *** obtained results indicate high efficiency of methods based on the influence function in complex geological and mining conditions.