A Novel Approach for Predicting the Height of Water-Conducting Fracture Zone under the High Overburden Caving Strength Based on Optimized Processes

Hu, Tao; Hou, Gongyu; Bu, Su; Zhu, Zhen; Wang, Yan; Hu, Ziyi; Li, Zixiang

doi:10.3390/pr8080950

Cited by 18 publications

(6 citation statements)

References 34 publications

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“…( 1 ) to Eq. ( 4 ) 24 , the empirical formulas only include two factors of coal thickness and lithology. The overlying strata are divided into hard, medium-hard, soft and significantly soft categories according to the comprehensive compressive strength.…”

Section: Establishment Of New Methodsmentioning

confidence: 99%

Height identification of water-permeable fractured zone based on synchronous movement in overlying strata

Wang

Qin

et al. 2022

Sci Rep

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Height identification of water-permeable fractured zone (WPFZ) is one of the decisive influence factors for mining safety, especially in some specific conditions, such as mining under aquifer. In order to demonstrate the formation process of the WPFZ, the scaling model experiment is carried out. Through the analysis of movement and breaking in overlying strata, the WPFZ height is significantly affected by mining range, movement characteristics of key strata and its follow-up strata. Based on the research findings, a new theoretical method, " overlying strata synchronous movement method " (OSSM) is established to predict the WPFZ height. Taking 3301 mining face of Zhujiamao Coal Mine in China as the engineering background, the WPFZ height is estimated by OSSM. Additionally, the field detection is carried out by the downhole segmented water injection method combined with borehole camera method. By comparing the results of different methods, the accuracy of OSSM is verified and the WPFZ height is determined finally. What´s more, various methods for determining WPFZ height are evaluated.

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Section: Establishment Of New Methodsmentioning

confidence: 99%

Height identification of water-permeable fractured zone based on synchronous movement in overlying strata

Wang

Qin

et al. 2022

Sci Rep

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“…Since BOFDA can measure the strain and temperature changes of the optical fiber at the same time, temperature compensation is required for structural health strain monitoring to offset the impact of temperature on strain. If the temperature change does not exceed 5℃, the influence of temperature can be ignored due to experiments and applications [13][14][15] . During the test, the indoor temperature change did not exceed 3 ℃ after actual test.…”

Section: Test Processmentioning

confidence: 99%

Study of structure health monitoring using distributed optical fiber sensing for concrete beam structures: taking bridge deflection measuring as an example

Hu¹,

Du²,

Hou³

et al. 2022

Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)

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The deflection change of concrete beams will cause concrete cracking and reinforcement corrosion, which will affect the use function of the concrete beam structures such as bridges and tunnels etc. Distributed optical fiber sensing (DOFS) was introduced to measure the deflection distribution of the concrete bridge structures in case avoiding the weakness of traditional monitoring methods in this paper. Above all, based on the analysis of the principle of DOFS Brillouin Optical Frequency Domain Analysis (BOFDA) measurement, the layout and deployment of optical fibres on the bottom of the concrete beam in a bridge for deflection measurement is proposed. Then, according to the fiber optic strain distribution, the qualitative characterization of the concrete bridges’ deflection was studied. Later, the mathematical expression of the optical fiber strain quantifying the bridge deflection was deducted theoretically through the analysis of the geometric principle of the optical fiber deformation when the concrete bridge deflection occurred. Finally, the indoor model experiment simulating the concrete bridge deflection has been carried out based on BOFDA. The results show that the concrete bridges’ deflection measured by BOFDA was the same as that measured by the dial indicators. BOFDA cannot only characterize the degree of concrete bridges’ deflection, but also accurately denote the deformation range and deflection distribution. It shows that BOFDA technology is effective and feasible for deflection measurement of concrete beam bridges.

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“…Geophysical explorations and borehole investigation were adopted in the spatial distribution characteristics of WCFZ [11][12][13][14]. An approach based on the Brillouin optical time-domain reflectometry was proposed [15,16]. In addition, tracer tests were used to identify the water-conducting channels [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

An Improved Back Propagation Neural Network Based on Differential Evolution and Grey Wolf Optimizer and Its Application in the Height Prediction of Water-Conducting Fracture Zone

Wang,

Zhu,

2024

Applied Sciences

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Given that the conventional back propagation neural network (BPNN) easily falls into the local optimal solutions, resulting in poor prediction accuracy, an improved BPNN based on the differential evolution and grey wolf optimizer (DEGWO) is proposed, the so-called DEGWO-BPNN. The prediction of the water-conducting fracture zone (WCFZ) height is significant for mine safety operations. A total of 104 sample data are trained and 25 sample data are tested to identify the optimal prediction model. Five evaluation indexes are selected to assess the prediction performance of the models quantitatively. Finally, the DEGWO-BPNN model is applied to a specific engineering case. The main conclusions are as follows: (1) Mining height, mining depth, coal seam dip, panel width, and ratio of hard rock as the main factors affecting the WCFZ height are selected. The topology structure of the model is defined as ‘5-12-1’; (2) the bias between the predicted value and the actual value of the training samples is smaller with an average error of 2.39. Test samples further validate the prediction precision through evaluation indexes. The values of MAE, RMSE, MAPE, and R2 are 2.3952, 3.4674, 5.3148%, and 0.99077, respectively. The prediction accuracy is 94.6852%; (3) ‘Mining Code’, MLR, BPNN, and GWO-BPNN models are treated as the comparison groups. The comparative analysis shows that the prediction performance of ‘Mining Code’ is the worst, while that of DEGWO-BPNN is the best, and it outperforms other algorithms and statistical approaches; (4) the prediction of WCFZ height in the 11601 panel is in line with the actual value. The prediction error of the DEGWO-BPNN model is lower than that of the comparison models. As such, the DEGWO-BPNN model can be well applied to the prediction of WCFZ height and is suitable for coal mines with different regional geological conditions. It can provide a valuable reference for mine safety operations.

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A Novel Approach for Predicting the Height of Water-Conducting Fracture Zone under the High Overburden Caving Strength Based on Optimized Processes

Cited by 18 publications

References 34 publications

Height identification of water-permeable fractured zone based on synchronous movement in overlying strata

Height identification of water-permeable fractured zone based on synchronous movement in overlying strata

Study of structure health monitoring using distributed optical fiber sensing for concrete beam structures: taking bridge deflection measuring as an example

An Improved Back Propagation Neural Network Based on Differential Evolution and Grey Wolf Optimizer and Its Application in the Height Prediction of Water-Conducting Fracture Zone

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