Aiming at the poor results of Knothe time function in predicting surface dynamic subsidence
Richards model is proposed. Based on analyzing the characteristics of the surface subsidence induced by coal mining
the elementary features of the perfect time function which could describe the full subsidence process are presented; and then
Richards growth model is introduced and established before the qualitative and quantitative relationships between parameters of model and geologic and mining conditions are given. Finally
model applicability is discussed; precise results could be attained while Richards model is applied to continuous and gradual subsidence area. A case study is given. The results show that: Richards model which satisfies the requirements of perfect time function could effectively simulate the whole process of surface subsidence and quickly calculate the parameters
including movement duration and subsidence
velocity and acceleration of a certain point in the surface movement basin at anytime; additionally; the flexibility of Richards model indicates it could be used in practice widely.
Mechanical response analysis of buried pipeline crossing mining subsidence area
Study on a new probability integral 3D model for forecasting solution mining subsidence of rock s
Numerical simulation of infiltration in unsaturated soil
Analysis of space and layer face effects on mining subsidence numerical calculation
Measurement and prediction of the transientsurface movement and deformation induced by mining under thick alluvium
Related Author
ZHANG Jian-qiang
SHUAI Jian
WANG Xiao-lin
JIANG Zai-wen
YANG Chun-he
JIANG De-yi
REN Song
CHEN Shan-xiong
Related Institution
Petroleum Prospecting and Design Institute, Zhongyuan Petroleum Exploration Bureau
Faculty of Mechanical and Electrical Engineering, China University of Petroleum
The Southeast Branch, Chongqing Expressway Development Company Ltd
Institute of Rock and Soil Mechanics, Chinese Academy of Sciences
Key Laboratory for the Exploitation of Southwestern Resources & the Environmental Disaster Control Engineering, Ministry of Education, Chongqing University