Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining

Abstract Designing a suitable support system is of great importance in longwall mining to ensure the safe and stable working conditions over the entire life of the mine. In high-speed mechanized longwall mining, the most vulnerable zones to failure are roof strata in the vicinity of the tailgate roa...

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Autores principales:	Satar Mahdevari, Mohammad Hayati
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1e8d239c33214859b1e6a275b6c38715
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spelling	oai:doaj.org-article:1e8d239c33214859b1e6a275b6c387152021-12-02T13:24:07ZFinite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining10.1038/s41598-021-82104-82045-2322https://doaj.org/article/1e8d239c33214859b1e6a275b6c387152021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82104-8https://doaj.org/toc/2045-2322Abstract Designing a suitable support system is of great importance in longwall mining to ensure the safe and stable working conditions over the entire life of the mine. In high-speed mechanized longwall mining, the most vulnerable zones to failure are roof strata in the vicinity of the tailgate roadway and T-junctions. Severe roof displacements are occurred in the tailgate roadway due to the high-stress concentrations around the exposed roof span. In this respect, Response Surface Methodology (RSM) was utilized to optimize tailgate support systems in the Tabas longwall coal mine, northeast of Iran. The nine geomechanical parameters were obtained through the field and laboratory studies including density, uniaxial compressive strength, angle of internal friction, cohesion, shear strength, tensile strength, Young’s modulus, slake durability index, and rock mass rating. A design of experiment was developed through considering a Central Composite Design (CCD) on the independent variables. The 149 experiments are resulted based on the output of CCD, and were introduced to a software package of finite difference numerical method to calculate the maximum roof displacements (d max ) in each experiment as the response of design. Therefore, the geomechanical variables are merged and consolidated into a modified quadratic equation for prediction of the d max . The proposed model was executed in four approaches of linear, two-factor interaction, quadratic, and cubic. The best squared correlation coefficient was obtained as 0.96. The prediction capability of the model was examined by testing on some unseen real data that were monitored at the mine. The proposed model appears to give a high goodness of fit with the accuracy of 0.90. These results indicate the accuracy and reliability of the developed model, which may be considered as a reliable tool for optimizing or redesigning the support systems in longwall tailgates. Analysis of variance (ANOVA) was performed to identify the key variables affecting the d max , and to recognize their pairwise interaction effects. The key parameters influencing the d max are respectively found to be slake durability index, Young’s modulus, uniaxial compressive strength, and rock mass rating.Satar MahdevariMohammad HayatiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-22 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Satar Mahdevari Mohammad Hayati Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
description	Abstract Designing a suitable support system is of great importance in longwall mining to ensure the safe and stable working conditions over the entire life of the mine. In high-speed mechanized longwall mining, the most vulnerable zones to failure are roof strata in the vicinity of the tailgate roadway and T-junctions. Severe roof displacements are occurred in the tailgate roadway due to the high-stress concentrations around the exposed roof span. In this respect, Response Surface Methodology (RSM) was utilized to optimize tailgate support systems in the Tabas longwall coal mine, northeast of Iran. The nine geomechanical parameters were obtained through the field and laboratory studies including density, uniaxial compressive strength, angle of internal friction, cohesion, shear strength, tensile strength, Young’s modulus, slake durability index, and rock mass rating. A design of experiment was developed through considering a Central Composite Design (CCD) on the independent variables. The 149 experiments are resulted based on the output of CCD, and were introduced to a software package of finite difference numerical method to calculate the maximum roof displacements (d max ) in each experiment as the response of design. Therefore, the geomechanical variables are merged and consolidated into a modified quadratic equation for prediction of the d max . The proposed model was executed in four approaches of linear, two-factor interaction, quadratic, and cubic. The best squared correlation coefficient was obtained as 0.96. The prediction capability of the model was examined by testing on some unseen real data that were monitored at the mine. The proposed model appears to give a high goodness of fit with the accuracy of 0.90. These results indicate the accuracy and reliability of the developed model, which may be considered as a reliable tool for optimizing or redesigning the support systems in longwall tailgates. Analysis of variance (ANOVA) was performed to identify the key variables affecting the d max , and to recognize their pairwise interaction effects. The key parameters influencing the d max are respectively found to be slake durability index, Young’s modulus, uniaxial compressive strength, and rock mass rating.
format	article
author	Satar Mahdevari Mohammad Hayati
author_facet	Satar Mahdevari Mohammad Hayati
author_sort	Satar Mahdevari
title	Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
title_short	Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
title_full	Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
title_fullStr	Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
title_full_unstemmed	Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
title_sort	finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1e8d239c33214859b1e6a275b6c38715
work_keys_str_mv	AT satarmahdevari finitedifferencebasedresponsesurfacemethodologytooptimizetailgatesupportsystemsinlongwallcoalmining AT mohammadhayati finitedifferencebasedresponsesurfacemethodologytooptimizetailgatesupportsystemsinlongwallcoalmining
_version_	1718393135797633024

Finite-difference based response surface methodology to optimize tailgate support systems in longwall coal mining

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