scholarly journals A geometrically and locally adaptive remeshing method for finite difference modeling of mining-induced surface subsidence

Author(s):  
Ziyu Zhang ◽  
Gang Mei ◽  
Nengxiong Xu
2013 ◽  
Vol 48 ◽  
pp. 134-145 ◽  
Author(s):  
Nengxiong Xu ◽  
Pinnaduwa H.S.W. Kulatilake ◽  
Hong Tian ◽  
Xiong Wu ◽  
Yinhua Nan ◽  
...  

2014 ◽  
Vol 670-671 ◽  
pp. 907-911
Author(s):  
Shu Xiang Wei ◽  
Yun Yong Wang ◽  
Chang Yu Jin ◽  
Long Bin Dong ◽  
Dong Liu

With the increase of mining depth, rock mechanics conditions become complicates. So the surface subsidence law caused by deep mining is different from the shallow. Based on the finite difference method and rock mechanics theory, the surface subsidence law cased by deep caving mining was studied, the strata movement rule and characteristics of stress distribution of different excavation stage was analyzed systematically. The results of the study can provide certain reference significance for the deep mining to confirm the displacement angle and range of surface subsidence.


2013 ◽  
Vol 395-396 ◽  
pp. 443-446
Author(s):  
Dong Liang Guo ◽  
De Shen Zhao

In the double-tube parallel tunnel excavation cross-range, it will result in a larger superimposed surface subsidence, and even induce land subsidence to cause the accident. This paper uses the finite difference FLAC3D software to have a numerical simulation on double-tube parallel tunnel excavation of Dalian Spring Street Station. The land subsidence law of a double-tube parallel tunnel excavation which is obtained by analyzing the vertical and longitudinal settlement curve can predictable similar ground subsidence caused by tunnel construction and guide the safety construction of practical engineering


2017 ◽  
Vol 6 (1) ◽  
pp. 129
Author(s):  
Phanthoudeth Pongpanya ◽  
Takashi Sasaoka ◽  
Hideki Shimada ◽  
Sugeng Wahyudi

This paper aims to study the characteristics of surface subsidence induced by longwall mining under poor ground conditions in Indonesia by means of numerical simulation techniques using finite difference code “FLAC3D”. The effect of mining depth in cases of single panel and multi-panel longwall mining, the influence of panel and pillar widths, and the impact of backfilling material, were incorporated into the FLAC3D software. The simulated results indicated that the angle of draw and maximum surface subsidence were significantly associated with the depth of mining, the number of extracted panels, the width of panel and pillar, and the type of backfill. In single panel mining, the largest maximum surface subsidence is observed in case of the shallowest mining depth, and it gradually decreases as the depth increases. In contrast, the angle of draw increases with increasing the mining depth. In multi-panel mining, the angle of draw and maximum surface subsidence increase as the mining depth increases. Moreover, the angle of draw and maximum surface subsidence decrease when the narrow panel and large pillar widths are adopted, and the backfilling materials are applied.


2003 ◽  
Vol 8 (1) ◽  
pp. 3-18 ◽  
Author(s):  
R. Baronas ◽  
F. Ivanauskas ◽  
J. Kulys

A mathematical model of amperometric biosensors has been developed to simulate the biosensor response in stirred as well as non stirred solution. The model involves three regions: the enzyme layer where enzyme reaction as well as mass transport by diffusion takes place, a diffusion limiting region where only the diffusion takes place, and a convective region, where the analyte concentration is maintained constant. Using computer simulation the influence of the thickness of the enzyme layer as well the diffusion one on the biosensor response was investigated. The computer simulation was carried out using the finite difference technique.


2001 ◽  
Vol 6 (2) ◽  
pp. 3-14 ◽  
Author(s):  
R. Baronas ◽  
F. Ivanauskas ◽  
I. Juodeikienė ◽  
A. Kajalavičius

A model of moisture movement in wood is presented in this paper in a two-dimensional-in-space formulation. The finite-difference technique has been used in order to obtain the solution of the problem. The model was applied to predict the moisture content in sawn boards from pine during long term storage under outdoor climatic conditions. The satisfactory agreement between the numerical solution and experimental data was obtained.


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