Superposition model for analyzing the dynamic ground subsidence in mining area of thick loose layer

Hou, De-Feng; Li, Dehai; Xu, Guosheng; Zhang, Yanbin

doi:10.1016/j.ijmst.2018.02.003

Cited by 29 publications

(17 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although total iron (Fe t ) was not detected in ROK, the content of Fe t ranged between 17.4 and 24.36% in other countries. A previous study reported that CaO, MnO, and MgO, which generate a considerable portion of steelmaking slag, can be used as alternatives for limestone, dolomite, and manganese ore to effectively reduce iron content and costs [25].…”

Section: Steel Slag Management Regulations and Legal Position In The ...mentioning

confidence: 99%

Environmental Assessment of Recycling (EAoR) for Safe Recycling of Steelmaking Slag in the Republic of Korea: Applications, Leaching Test, and Toxicity

Lee¹,

Kang²,

Yoon³

et al. 2021

Sustainability

View full text Add to dashboard Cite

Steel slag is a major waste product of the steelmaking process. Owing to its chemical composition, it can be reused as a raw material in steel mills and a substitute for aggregates in engineering. In 2016, the Republic of Korea (ROK) introduced the Environmental Assessment of Recycling (EAoR) system for the safe recycling of waste products, which divides recycling methods into either matrix contact or non-matrix contact types; numerous challenges have been raised regarding weaknesses in the matrix contact type. Consequently, the standards for matrix contact recycling of slag (inorganic waste) have become stricter, and the recycling applications have also become more diverse. This study investigates the treatment, recycling, and management of steel slag in the ROK. In 2019, the annual generation of slag in the ROK exceeded 23.03 million tons with a recycling rate of 98.3%, showing a high level of recycling, compared with that of the United States (81.3%), the European Union (87%), Australia (100%), and Japan (98.4%). However, a comparative analysis of overseas slag recycling systems and recycling standards found that the recycling applications and recycling standards of slag in the ROK were somewhat stricter than those in the European Union and the United States. Furthermore, an investigation comparing the applications of recycled slag in different countries showed that the ROK could expand its applications of recycled slag. The limitation of the EAoR system was that the excluding products, environmentally certified from Korean Standards in the EAoR regulations, might be attributing to environmental pollution. The leaching and toxicity tests for recycling application of steelmaking slag were evaluated and showed no significant negative effects. Lastly, there is an urgent need for environmental standards relating to slag that can be recycled as a product, and the recycling and environmental label certification for products should also be amended. In addition, the applications of steelmaking slag were necessary to partially extend according to the hazardous characteristics.

show abstract

Section: Steel Slag Management Regulations and Legal Position In The ...mentioning

confidence: 99%

Environmental Assessment of Recycling (EAoR) for Safe Recycling of Steelmaking Slag in the Republic of Korea: Applications, Leaching Test, and Toxicity

Lee¹,

Kang²,

Yoon³

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Compared with the actual observation values, the prediction error is large. Therefore, it is of great theoretical and practical value to deeply study the subsidence mechanism and deformation law of coal seam mining in a thick and loose layer mining area, to accurately predict the movement and deformation of the ground surface, to reasonably keep various types of protective coal pillars, and to protect various protective objects on the surface (Hou et al, 2018).…”

Section: Characteristics Of Mining Subsidence Under Thick Loose Layermentioning

confidence: 99%

A prediction model of mining subsidence in thick loose layer based on probability integral model

Liang

2020

Earth sci. res. j.

View full text Add to dashboard Cite

The probability integral method is the most commonly used mining subsidence prediction model, but it is only applicable to ordinary geological mining conditions. When the loose layer in the geological mining conditions where the mining face is located is too thick, many inaccurate phenomena will occur when the movement deformation value is predicted by the probability integral method. The most obvious one is the problem that the predicted value converges too fast compared with the measured value in the edge of the sinking basin. In 2012, Wang and Deng proposed a modified model of probability integral method for the marginal errors in the model of probability integral method and verified the feasibility of the method through examples. In this paper, the method is applied to the prediction of surface movement under thick and loose layers after modified. Through practical application, it is found that due to the angle between the working face and the horizontal direction, the average mining depth in the strike direction is different from the average mining depth in the inclined direction, and the main influence radius of the two main sections are often. Therefore, based on this problem, this paper divides the main influence radius into trend and tendency and adjusts the parameters in the model to find the rules of the parameters. The original method uses a dynamic scale factor to adjust the predicted shape of the graph by adjusting the sinking coefficient. This study is aimed to set the scale factor to 0.5 and fix the value of the sinking factor, and propose to adjust the integral range and then adjust the shape of the graph to make it more in line with the actual measurement situation.

show abstract

“…Theoretical models of subsidence prediction have used a prediction function formula to evaluate stress in the rock formation, and the final subsidence curve position after mining was predicted, including empirical equations [15]. A subsidence influence function correction method based on ground observation results, was used to estimate maximum subsidence function under the discontinuous subsidence [16][17][18]. A. G. Corkum used a traditional surface subsidence model to predict the subsidence of a geological model established by the three-dimensional finite difference method [19] and found that the theory was inconsistent with finite element modeling.…”

Section: Introductionmentioning

confidence: 99%

Roof Subsidence and Movement Law of Composite Strata Mining: Insights from Physical and Numerical Modeling

Wang

Zhang

et al. 2021

Minerals

View full text Add to dashboard Cite

Sinking and horizontal movements are necessary parameters for assessing the potential impacts of surface subsidence in mining activities. Based on similarity criteria, the surface subsidence mechanism was studied using a physical model composed of similar materials such as sand, cement, and gypsum. With constant field geological parameters maintained in two angles of a coal seam, models of roof subsidence of composite rock were compared for different mining configurations. In accordance with observations from the physical model, it was concluded that subsidence and horizontal movement of strata near to and far from the coal seams were different and divided into five zones. The zone above a mined-out area underwent greater total subsidence compared to unexploited regions on both sides. Correlations between a subsidence curve and the height of a caving zone and the mining dip angle were obtained and verified from numerical model results. According to the roof’s position relative to the goaf, the area above the goaf of the composite rock layer was divided into three regions: a curving zone, a water-conducting fracture zone, and a falling zone, to which the subsidence and movement characteristics of each area could be proposed. Compared with the subsidence and movement characteristics observed from the physical and numerical model, the acquisition of subsidence characteristics and parameters in different areas can provide an idea for improvement, innovation or proposal of a theoretical formula for subsidence prediction of composite rock formations.

show abstract

Superposition model for analyzing the dynamic ground subsidence in mining area of thick loose layer

Cited by 29 publications

References 9 publications

Environmental Assessment of Recycling (EAoR) for Safe Recycling of Steelmaking Slag in the Republic of Korea: Applications, Leaching Test, and Toxicity

Environmental Assessment of Recycling (EAoR) for Safe Recycling of Steelmaking Slag in the Republic of Korea: Applications, Leaching Test, and Toxicity

A prediction model of mining subsidence in thick loose layer based on probability integral model

Roof Subsidence and Movement Law of Composite Strata Mining: Insights from Physical and Numerical Modeling

Contact Info

Product

Resources

About