Multifactorial analysis of a gateroad stability at goaf interface during longwall coal mining – A case study DOI Creative Commons
Dmytro Babets,

Olena Sdvyzhkova,

Serhii Hapieiev

и другие.

Mining of Mineral Deposits, Год журнала: 2023, Номер 17(2), С. 9 - 19

Опубликована: Июнь 30, 2023

Purpose. Creating a generalized algorithm to account for factors (coal seam thickness, enclosed rock mechanical properties, the dimension and bearing capacity of artificial support patterns) causing gateroad state under effect longwall face goaf. Methods. The assessment stability is based on numerical simulation stress-strain (SSS). finite element method used find out changes in SSS surrounding rocks at various stages mining. elastic-plastic constitutive model Hoek-Brown failure criterion implemented codes RS2 RS3 (Rocscience) are applied determine displacements dependently coal strength, width strength (a packwall comprised hardening mixture “BI-lining”). To specify properties material series experimental tests were conducted. A computational experiment dealing with 81 combinations affecting was carried estimate roof slag floor heaving behind face. group data handling (GMDH ) employed generalize relationships between factors. Findings. roof-to-floor closure has been determined intersection goaf packwall, material. It revealed that gains value 30 MPa 3rd day from its beginning use which fully corresponding requirements protective capacity. possibility using untreated mine water liquefy proved, allows simplifying optimizing solute mixing pumping technology. Originality. This study contributes improving understanding influence underground mining operations highlights importance utilizing simulations designs. impact each factor resulting variable (decrease cross-section gate road by height) combinatorial structural identification estimated as follows: 48%, thickness 25%, enclosing 23%, 4%. Practical implications. findings provide stakeholders technique reasonable parameters systems, predictive developed can be mitigate potential instability issues excavations. results have implications similar geological settings valuable design optimization other regions.

Язык: Английский

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models DOI Creative Commons

Nemesio Fava Sopelsa Neto,

Stéfano Frizzo Stefenon, Luiz Henrique Meyer

и другие.

Sensors, Год журнала: 2022, Номер 22(16), С. 6121 - 6121

Опубликована: Авг. 16, 2022

To improve the monitoring of electrical power grid, it is necessary to evaluate influence contamination in relation leakage current and its progression a disruptive discharge. In this paper, insulators were tested saline chamber simulate increase salt on their surface. From time series forecasting current, possible development fault before flashover occurs. for complete evaluation, long short-term memory (LSTM), group method data handling (GMDH), adaptive neuro-fuzzy inference system (ANFIS), bootstrap aggregation (bagging), sequential learning (boosting), random subspace, stacked generalization (stacking) ensemble models are analyzed. results best structure models, hyperparameters evaluated wavelet transform used obtain an enhanced model. The contribution paper related improvement well-established using transform, thus obtaining hybrid that can be several applications. showed leads all especially ANFIS model, which had mean RMSE 1.58 ×10-3, being model result. Furthermore, standard deviation 2.18 ×10-19, showing stable robust application under study. Future work performed other components distribution grid susceptible because they installed outdoors.

Язык: Английский

Процитировано

55

Prediction of shield machine posture using the GRU algorithm with adaptive boosting: A case study of Chengdu Subway project DOI
Haohan Xiao, Zuyu Chen, Ruilang Cao

и другие.

Transportation Geotechnics, Год журнала: 2022, Номер 37, С. 100837 - 100837

Опубликована: Авг. 17, 2022

Язык: Английский

Процитировано

45

Prediction and analysis of slurry shield TBM disc cutter wear and its application in cutter change time DOI
Xiang Shen, Xiangsheng Chen,

Yanbin Fu

и другие.

Wear, Год журнала: 2022, Номер 498-499, С. 204314 - 204314

Опубликована: Март 9, 2022

Язык: Английский

Процитировано

39

Prediction of jacking force using PSO-BPNN and PSO-SVR algorithm in curved pipe roof DOI
Hao Zhou, Sheng Huang, Peng Zhang

и другие.

Tunnelling and Underground Space Technology, Год журнала: 2023, Номер 138, С. 105159 - 105159

Опубликована: Май 2, 2023

Язык: Английский

Процитировано

32

Multifactorial analysis of a gateroad stability at goaf interface during longwall coal mining – A case study DOI Creative Commons
Dmytro Babets,

Olena Sdvyzhkova,

Serhii Hapieiev

и другие.

Mining of Mineral Deposits, Год журнала: 2023, Номер 17(2), С. 9 - 19

Опубликована: Июнь 30, 2023

Purpose. Creating a generalized algorithm to account for factors (coal seam thickness, enclosed rock mechanical properties, the dimension and bearing capacity of artificial support patterns) causing gateroad state under effect longwall face goaf. Methods. The assessment stability is based on numerical simulation stress-strain (SSS). finite element method used find out changes in SSS surrounding rocks at various stages mining. elastic-plastic constitutive model Hoek-Brown failure criterion implemented codes RS2 RS3 (Rocscience) are applied determine displacements dependently coal strength, width strength (a packwall comprised hardening mixture “BI-lining”). To specify properties material series experimental tests were conducted. A computational experiment dealing with 81 combinations affecting was carried estimate roof slag floor heaving behind face. group data handling (GMDH ) employed generalize relationships between factors. Findings. roof-to-floor closure has been determined intersection goaf packwall, material. It revealed that gains value 30 MPa 3rd day from its beginning use which fully corresponding requirements protective capacity. possibility using untreated mine water liquefy proved, allows simplifying optimizing solute mixing pumping technology. Originality. This study contributes improving understanding influence underground mining operations highlights importance utilizing simulations designs. impact each factor resulting variable (decrease cross-section gate road by height) combinatorial structural identification estimated as follows: 48%, thickness 25%, enclosing 23%, 4%. Practical implications. findings provide stakeholders technique reasonable parameters systems, predictive developed can be mitigate potential instability issues excavations. results have implications similar geological settings valuable design optimization other regions.

Язык: Английский

Процитировано

23