Extending dynamic models of mining subsidence

Lian, Xugang; Jarosz, Andrew F.; Saavedra-Rosas, Jose; Dai, Huayang

doi:10.1016/s1003-6326(12)61637-9

Cited by 20 publications

(13 citation statements)

References 9 publications

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“…The calculations presented herein were made based on information known at the time of preparing the forecast, in contrast to in many past studies (Cui et al, 2013;Hu et al, 2011;Huayang et al, 2002;Kwinta, 2012a;Lian et al, 2011;Liao, 1993;Nicieza et al, 2005;Polanin, 2015;Weifeng and Xiaohong, 2013), which assumed the knowledge of optimal model parameter values determined after the exploitation. The relative errors in the modeling of subsidence with optimal parameters in these works were on the order of 4%-8%, depending on the case considered.…”

Section: Discussionmentioning

confidence: 99%

“…Numerical methods digitize the medium as a continuous material, including the finite element method (Tajduś, 2009;Unlu et al, 2013) and finite difference method (Alejano et al, 1999;Nengxiong et al, 2013;Shahriar et al, 2009) or a non-continuous material, such as the discrete element method (Barbato et al, 2016;Salmi et al, 2017). Another noteworthy method is cellular automata theory (Lian et al, 2011;Saavedra-Rosas and Drage, 2014;Sikora, 2016).…”

Section: Knothe's Modelmentioning

confidence: 99%

“…This article is not concerned with modeling, which only illustrates the distribution of deformation for optimal parameter values. Most past studies (Cui et al, 2013;Hu et al, 2011;Huayang et al, 2002;Quinta, 2012;Lian et al, 2011;Liao, 1993;Nicieza et al, 2005;Polanin, 2015;Weifeng and Xiaohong, 2013) deal with modeling the phenomenon (i.e., determining how the phenomenon developed when the optimum parameter values have already been determined based on observations made after the end of exploitation). Although the Monte Carlo method has been used in past studies (Kwinta, 2010;Hejmanowski and Malinowska, 2016;Niedojadło, 2008;Niedojadło and Gruszczyński, 2015), none of these studies analyzed subsidence, and no attempt was made to verify the results of calculations using measurement data.…”

Section: Mining Operationsmentioning

confidence: 99%

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Influence of model parameter uncerainties on forecasted subsidence

Gruszczyński¹

2018

Acta Geodynamica Et Geomaterialia

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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

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Section: Discussionmentioning

confidence: 99%

Section: Knothe's Modelmentioning

confidence: 99%

Section: Mining Operationsmentioning

confidence: 99%

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Influence of model parameter uncerainties on forecasted subsidence

Gruszczyński¹

2018

Acta Geodynamica Et Geomaterialia

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“…After the coal seam has been excavated, the roof rock behind the hydraulic supporters becomes unsupported and loose via the following processes [27][28][29][30]: (1) strata pressure load concentrates on the goaf roof and floor due to the absence of coal seam; (2) loosening of the immediate roof and floor strata as the goaf area converges; (3) cracking occurs, especially in the immediate roof strata; (4) stress relief in the main roof strata occurs above the face area; (5) release of gas quantities from neighboring seams and porous enclosing rock happens during stress relief in the seam, floor, and roof areas; (6) collapsing of the roof strata happens, further transmitting to the upper strata; (7) strata stresses increase around the edge of the working face. Based on extended observation, the overburden failure above a longwall collapsing working face can be divided into three areas according to the strata slippage and damage.…”

Section: Methodsmentioning

confidence: 99%

“…After mining, the rooms provided sufficient space and accesses for huge equipment. Meanwhile, strata control requirements in metallic mines are not so rigorous like in coal mines, since coal resources distribute in sedimentary strata, and are excavated normally via longwall collapsing method, which hardly provides adequate space and access for backfilling equipment as with metal-deposit mines [24,[27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Green and Sustainable Mining: Underground Coal Mine Fully Mechanized Solid Dense Stowing-Mining Method

et al. 2017

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China produces and consumes most of coal in the world. This situation is expected to continue within a certain period in the future. Currently, Chinese coal industry is confronted with several serious problems relating to land resource, water resource, environmental, and ecological sustainability. Coal resource exploitation causes the permanent fracture and movement of strata structure, which have caused the fracture and collapse of overlying strata and further led to the subsidence of ground surface as well as the seepage of water in aquifers around the coal seam, which has resulted not only in the loss of land and water resources, but also in serious threats and accidents to underground mining. On the other hand, mining and mineral-processing wastes are one of the world's long plagued concerns among solid wastes. Coal gangue, as the major waste with a huge amount of discharge, has not only occupied the land, but has also contaminated the ambient land resources and hydrological environment, and further led to ecological system destruction and degradation. What is more, in China there are large amounts of coal-located under railways, buildings, and water bodies-which are unavailable with traditional mining methods. These problems are obviously threaten the concept of green sustainable development. This paper introduces a novel developed solid dense stowing mining method, which is able to significantly reduce or event eliminate the corresponding damages caused by underground mining behavior and realize green and sustainable development. The novelty of this research work is realizing the automation and synchronization of mining and material stowing with an appropriate compaction ratio for adequate support of goaf roof. It can improve the stability of rock strata and the safety and efficiency of underground mining. We also studied and designed a perfect stowing material by using coal gangue and fly ash with appropriate proportions under different particle size gradations. By implementation of the above-mentioned methods in China, the solid dense stowing rate of mined seam areas have reached more than 95% and the overburden strata movements have been reduced to extremely low level which had nearly no damages to above buildings. The solid dense stowing mining method has also realized the reuse and recycling of coal mine solid wastes. Meanwhile, considerable previously unavailable coal resources under buildings, railways, and water bodies have been made available for exploration, which could extend the life of coal mines and increase the sustainability for coal industry and the environment. Ultimately, this method is a reliable way to realize green and sustainable mining. The strata structure protection, the surface subsidence prevention, and coal mine solid waste disposal have been realized at the same time.

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