Ground subsidence observations and a modified influence function method for complete subsidence prediction

Sheorey, P.R.; Loui, John P.; Singh, K. B.; Singh, Satyendra Kumar

doi:10.1016/s1365-1609(00)00023-x

Cited by 158 publications

(73 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second group includes the profile function (Asadi et al, 2004;Díez and Álvarez, 2000;Torano et al, 2000;Waddington and Kay, 1995), graphical method (NCB, 1975), application of artificial neural networks (Ambrožič and Turk, 2003;Gruszczyński, 2007;Weifeng and Xiaohong, 2013) and influence function (Álvarez-Fernandez et al, 2005;Cui et al, 2013Cui et al, , 2000Ghabraie et al, 2017;Huayan et al, 2002;Liao, 1993;Nicieza et al, 2005;Ren et al, 1987Ren et al, , 2014Sheorey et al, 2000;Singh and Singh, 1998). Based on large collections of observations, the relationships between measurement results and geometric conditions from a mining operation are determined.…”

Section: Knothe's Modelmentioning

confidence: 99%

Influence of model parameter uncerainties on forecasted subsidence

Gruszczyński¹

2018

Acta Geodynamica Et Geomaterialia

View full text Add to dashboard Cite

Surface deformation due to underground exploitation affects the safety of overlying structures. Forecasting can predict risks to surface structures and facilitates actions designed to improve their resilience and reduce the potential impact of mining activities. However, forecasting accuracy is limited. Therefore, in practice, model parameters are determined within a certain margin to ensure that critical values of deformation indicators for surface objects are not exceeded. For economic reasons, it is important to minimize these margins while also ensuring that safety is maintained. One important factor influencing forecasting accuracy is the uncertainty in deformation model parameters used for calculations. Therefore, it is critical to adopt an appropriate methodology for determining and addressing the uncertainties in deformation model parameters used in forecasting. This study presents methods for estimating the Knothe's model parameters needed to forecast surface deformation caused by underground mining and defining the uncertainties in those forecasts. Depending on the parameter uncertainties, one of two methods for propagation is proposed: the Monte Carlo method or the law of propagation of uncertainty. Using this approach, it is possible to account for uncertainty and reduce forecast margins. A case study of hard coal mining in the Upper Silesian Coal Basin region of Poland is presented. ARTICLE INFO

show abstract

Section: Knothe's Modelmentioning

confidence: 99%

Influence of model parameter uncerainties on forecasted subsidence

Gruszczyński¹

2018

Acta Geodynamica Et Geomaterialia

View full text Add to dashboard Cite

show abstract

“…Unfortunately, for the area studied, no public data were available for the subsidence that occurred prior to the satellite observations. Worldwide, the maximum subsidence ranges from 40 to 90 % of the total mining height (Wagner and Schümann, 1991;Sheorey et al, 2000). In the Campine basin, values of 80 to 90 % normally are used.…”

Section: Influence Of Mining Characteristics On Residual Subsidence Amentioning

confidence: 99%

Surface movement above an underground coal longwall mine after closure

Vervoort

2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The surface movement in an area of about 22 km 2 above the underground coal mine of Houthalen was analyzed based on Interferometry with Synthetic Aperture Radar (In-SAR) measurements. After its closure in 1992, a residual subsidence was observed over a period of several years, followed by an uplift of the surface above and around the past longwall panels, whereby the rate of movement was, in absolute terms, of the same order for the two types of movements. The processes behind these movements are different. The process of subsidence is caused by the caving of the roof above the mined-out area and is mainly a mechanical stress-deformation process, including time-dependent aspects. However, the process of uplift is most probably caused by the swelling of the clay minerals in the argillaceous rocks in the coal strata after the flooding of the underground workings. Hence, the areas in which there is the greatest risk of damage to the surface infrastructure are not the same for the hazards linked to subsidence and uplift. For example, the zone in which the maximum uplift occurs clearly is at a different location from that of the zone with the maximum residual subsidence. There is no clear sign that the amount of mining underneath affects the residual subsidence, and there is no indication that the process of uplift is linked directly to the mining characteristics. It is more likely that uplift as the result of flooding is initiated at, or close to, the vertical shafts.

show abstract

“…When the function reaches the stationary state, it is already close to its lower asymptote, and the further subsidence is practically negligible. The settling period is defined as consolidation [8][9][10]. The next (and final) measurement will be needed after a long period of time.…”

Section: Surface Observation Points Analysismentioning

confidence: 99%

Analysis of Dynamic Surface Subsidence at the Underground Coal Mining Site in Velenje, Slovenia through Modified Sigmoidal Function

Rošer¹,

Potočnik²,

Vulić

2018

Minerals

View full text Add to dashboard Cite

Abstract:In underground coal mining engineering, one of the most important tasks is to monitor, predict and manage the surface subsidence due to underground coal excavation. The impact of underground mining excavation reflects as subsidence of the overlying strata and the formation of surface depressions soon after excavation. The surface subsidence is one of many natural processes that exhibit a progression from small beginnings that accelerate and approach a climax over time. When detailed data is lacking, a logistic function is often used. In this paper, the analysis of the surface subsidence above underground mining sites in the Velenje Coal Mine by using a modified sigmoid function (surrogate of logistic function), with the common "S" shape, is introduced. Furthermore, the time estimation of the next and the final epoch measurement is considered.

show abstract

Ground subsidence observations and a modified influence function method for complete subsidence prediction

Cited by 158 publications

References 6 publications

Influence of model parameter uncerainties on forecasted subsidence

Influence of model parameter uncerainties on forecasted subsidence

Surface movement above an underground coal longwall mine after closure

Analysis of Dynamic Surface Subsidence at the Underground Coal Mining Site in Velenje, Slovenia through Modified Sigmoidal Function

Contact Info

Product

Resources

About