On the topography influence on subsidence due to horizontal underground mining using the influence function method

Cai, Yinfei; Verdel, Thierry; Deck, Olivier

doi:10.1016/j.compgeo.2014.06.003

Cited by 18 publications

(16 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is widely applied to forecast surface deformation parameters (e.g. Cai et al 2014;Knothe 2005). The radius of the main influences depends on the exploitation depth and the angle of main influences that results from local geological and mining conditions.…”

Section: Methodology and Area Of Researchmentioning

confidence: 99%

“…the subsidence, without any further information concerning horizontal components of such a displacement. The horizontal displacement plays a profound role in the deformation process (e.g., Cai et al 2014).…”

Section: Methodology and Area Of Researchmentioning

confidence: 99%

“…, from (3a) the formula is Gaussian distribution used in the influences function method to forecast the parameters of surface deformation (e.g., Cai et al 2014;Knothe 2005;Kowalski 2004;Bańka 2000;Knothe 1959). The derivative of (3) the function in respect to time is the function of subsidence velocity in time and its shape resembles the Gaussian distribution.…”

Section: Modelling Of Displacement Velocitymentioning

confidence: 99%

“…A widely used method for surface subsidence prediction is the influence function method that is applied to predict such surface deformation parameters as subsidence, horizontal displacement, slope, curvature and horizontal strain (e.g. Cai et al 2014;Deck and Anirudh 2010;Saeidi et al 2009;Knothe 2005). The use of GNSS/GPS technology is playing an increasing role in the surface deformation monitoring of mining areas (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Relation between benchmark displacement velocity and seismic activity caused by underground longwall exploitation

Duda

2015

Acta Geod Geophys

View full text Add to dashboard Cite

The following paper addresses the problem of mining-induced surface subsidence by giving consideration to the aspect of displacement velocity and its relation to seismic activities recorded in the area of benchmarks. A series of geodetic measurements were carried out in order to develop an accurate description of the deformation process. The mathematical model of a benchmark displacement process was worked out to estimate the maximum deformation velocity and the time of maximum velocity occurrence. The comparison between the measured and calculated data was presented. The displacement velocity value was compared to the seismic activity recorded during the exploitation period. Four cases were thoroughly investigated as they represent types of relation between the seismic activity and the deformation velocity.

show abstract

Section: Methodology and Area Of Researchmentioning

confidence: 99%

Section: Methodology and Area Of Researchmentioning

confidence: 99%

Section: Modelling Of Displacement Velocitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Relation between benchmark displacement velocity and seismic activity caused by underground longwall exploitation

Duda

2015

Acta Geod Geophys

View full text Add to dashboard Cite

show abstract

“…It is one of the most popular influence function methods used in underground mining [19], [25], [26]. As shown in Fig.…”

Section: A Relationship Between D-insar Los Deformation and The Modementioning

confidence: 99%

InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements

Yang

Zhu

et al. 2016

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

This paper presents a novel method for estimating the model parameters of the probability integral method (PIM) based on the line-of-sight deformation derived from the interferometric synthetic aperture radar. Then, it applies the settled PIM to forward predict the horizontal and vertical displacements induced by the extraction of a new working panel. The proposed method first constructed the functional relationship between the InSAR-derived LOS deformation and the model parameters of PIM. Subsequently, an improved genetic algorithm (GA), in which gross error elimination was imposed, was proposed, and used to estimate the model parameters of PIM with a large number of LOS deformation measurements. The estimated model parameters and PIM were then employed to forward predict the horizontal and vertical displacements induced by the extraction of a working panel. Simulated experiments show that the rmses of the predicted displacements along the up-down, west-east, and north-south directions are 1.5, 0.9, and 2.5 mm, respectively. Real data experiments over the Qianyingzi coal mining area of China indicate that the predicted displacements are highly consistent with those by field surveys, with rmses of 4.1 and 3 cm for the vertical and horizontal directions, respectively. These imply that the proposed approach can be a very promising tool for predicting the mining-induced displacements and will potentially contribute to the assessing and forecasting of possible geological hazards in the mining area.Index Terms-Damage assessment, improved genetic algorithm (GA), interferometric synthetic aperture radar (InSAR), mininginduced displacement prediction, parameter estimation, probability integral method (PIM).

show abstract

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

Liu,

Wang,

Zhong

et al. 2024

J. Mt. Sci.

View full text Add to dashboard Cite

On the topography influence on subsidence due to horizontal underground mining using the influence function method

Cited by 18 publications

References 15 publications

Relation between benchmark displacement velocity and seismic activity caused by underground longwall exploitation

Relation between benchmark displacement velocity and seismic activity caused by underground longwall exploitation

InSAR-Based Model Parameter Estimation of Probability Integral Method and Its Application for Predicting Mining-Induced Horizontal and Vertical Displacements

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

Contact Info

Product

Resources

About