Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Li, Chunyi; Ding, Laizhong; Cui, Ximin; Zhang, Xiaochen; He, Yihang; Zhang, Wenzhi; Zhang, Bai

doi:10.3390/en15145024

Cited by 11 publications

(14 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1. For the similar simulation experiment of repeated mining of close-distance coal seams, due to the limitations of monitoring, and the subsidence of the real surface has residual subsidence [23], but the similar simulation does not accurately express the residual subsidence, so there is a certain error between the subsidence value measured by the similar experiment and the actual value.…”

Section: Discussionmentioning

confidence: 99%

Study on the Law of Repeated Mining Strata Movement and Surface Subsidence in Close Distance Coal Seam

Wang

et al. 2023

Preprint

View full text Add to dashboard Cite

In order to study the characteristics of surface subsidence under the condition of repeated mining of close distance coal seams in Wuhai mining area of the Yellow River Basin, Wuhushan Coal Mine in Wuhai City, Inner Mongolia was taken as the engineering background. By means of theoretical analysis, physical similarity simulation experiment, numerical simulation and field monitoring, the migration law of overlying strata and the determination of maximum surface subsidence value under close repeated mining conditions are studied, and further verified by engineering measurement. Through theoretical analysis, the characteristics of surface subsidence under the condition of close-range repeated mining are studied, and the physical similarity simulation experiment and 3DEC numerical simulation software are used to study the migration law of overlying strata under the condition of close-range repeated mining. The results show that under the condition of repeated mining of close distance coal seams, the migration law of overlying strata and surface of upper and lower coal seams presents four development stages from bottom to top : ' caving stage-fracture development stage-positive trapezoid rising stage-surface subsidence basin formation stage ' ; the distribution law of the maximum subsidence value of the repeated mining surface is not symmetrically distributed, but tends to the cut side ; the surface subsidence coefficient of repeated mining probability integral method in close distance coal seam is corrected. The modified surface subsidence prediction function is used to predict the maximum surface subsidence on site. The error between the surface subsidence prediction curve and the measured curve is 8.9%, which is basically consistent with the measured value. The rationality of the subsidence prediction function of the repeated mining probability integral method in close coal seams is verified. At the same time, the prediction can provide reference for similar working face mining and subsidence control.

show abstract

Section: Discussionmentioning

confidence: 99%

Study on the Law of Repeated Mining Strata Movement and Surface Subsidence in Close Distance Coal Seam

Wang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The time function is time as the independent variable of the dimensionless function; the value of the domain can traverse the [0,1] interval, and it controls the function of the curve shape and change characteristics through the relevant parameters . If the time function is used, φ( t ), the maximum deformation value at a point of the pit is S max , the settlement at that point at a certain time is the product of and, obviously, determines the convergence value of the settlement curve but cannot affect the trend of the settlement curve .…”

Section: Improved Dynamic Prediction Functionmentioning

confidence: 99%

“…Xi et al improved the logistic function model and established a segmented logistic function model. Li et al proposed an improved logistic time function and found that the spatiotemporal variation characteristics conformed to the actual law of surface movement. However, the previous time function model curve presents a symmetric state at the middle moment of the deformation cycle, and this law is merely applicable to the ground deformation in the ideal state.…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits

et al. 2023

View full text Add to dashboard Cite

Urban rail transportation and underground space development and utilization are initiatives to solve urban traffic congestion. The monitoring and prediction of the stability of underground enclosure piles in foundation pits is a key index for the dynamic evaluation of the stability of underground space engineering. In this paper, we focused on the problem that the dynamic prediction accuracy and stability of foundation pit retaining piles in the Qingdao area are not high. Based on the analysis of various time function curves and the physical meaning of the parameters, we proposed the Adjusted-Logistic time function model, which introduces three physical parameters to adjust the deformation velocity and deformation acceleration in different stages for better accuracy. It could predict the deformation process of underground enclosure piles under different geological engineering conditions. It was verified in the field that the root-mean-square error (RMSE) of the Adjusted-Logistic function was 0.5316, MAE was 0.3752, and R 2 was 0.9937, which were better than those of Gompertz, Weibull, and Knothe time function models. Meanwhile, it showed that with the increase of excavation depth, the maximum horizontal displacement of the underground enclosure piles gradually decreased and finally stabilized at 0.62−0.71 H. We established a catastrophe model of the horizontal displacement cusp at the observation point of the underground enclosure piles by using the time series of the measured data. It could determine the weak location of the underground enclosure pile stability and realize the multipoint warning of the foundation pit stability, which would ensure safe construction.

show abstract

“…ESTERHUIZEN et al showed that under the long-term action of stress, the outer wall of the pillar might gradually peel away (Esterhuizen et al, 2011). Wang, et al used a nonlinear prediction system, neural network and other methods to predict residual subsidence (Li et al, 2022; Wang and Deng, 2010; Wang and Deng, 2012; Wang et al, 2022). The advantage of this method is that it does not need to take into account the predisposing factors of residual subsidence, but it may lead to errors in the prediction results due to parameter and sample selection.…”

Section: Introductionmentioning

confidence: 99%

Prediction Method of Residual Subsidence of Strip Goaf Located in Suburb for Safely Constructing Viaduct

Tang,

Li,

Guo

et al. 2023

Energy Exploration & Exploitation

View full text Add to dashboard Cite

Resource-based cities often face land scarcity during their developmental and expansionary phases. However, repurposing the goaf sites of suburban coal mines has been recognized as an effective strategy for alleviating this issue, particularly pertinent for suburban coal mines using strip mining techniques to protect ground-level structures. Old strip mining goaf is easily influenced by disturbance and leads to secondary surface deformation, which will threaten the construction above old strip mining goaf. Therefore, it is essential to provide a basis and reference for decision-makers regarding surface residual subsidence for strip mining. In the paper, based on the morphology and structure of the old strip mining goaf before the surface residual subsidence, the reason and mechanism of the residual subsidence of old strip mining goaf are studied. The results show that the main reasons for the “activation” of old strip mining goaf are the re-compaction of the under-compacted part of the fractured rock mass in the caving zone, the stripping and yielding of coal pillar under the action of groundwater erosion, weathering, and the collapse of residual voids. Based on the above analysis, a prediction model of the surface residual subsidence of the old strip mining goaf is proposed, which takes into account the compaction of the under-compacted area, the collapse of the residual voids, and the stripping and yielding of the coal pillar. The proposed method is implemented to evaluate the stability of a city viaduct goaf. Our research outcomes bear valuable theoretical and practical implications for site stability assessments of old strip mining goafs and the sustainable repurposing of land resources in suburban resource-based cities.

show abstract

Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Cited by 11 publications

References 32 publications

Study on the Law of Repeated Mining Strata Movement and Surface Subsidence in Close Distance Coal Seam

Study on the Law of Repeated Mining Strata Movement and Surface Subsidence in Close Distance Coal Seam

Monitoring and Prediction of Horizontal Displacement of Underground Enclosure Piles in Subway Foundation Pits

Prediction Method of Residual Subsidence of Strip Goaf Located in Suburb for Safely Constructing Viaduct

Contact Info

Product

Resources

About