FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220994406> ?p ?o ?g. }

• W4220994406 endingPage "8" @default.
• W4220994406 startingPage "1" @default.
• W4220994406 abstract "Purpose. Empirical and numerical methods play a vital role in assessing rock mass behaviour quantitatively and qualitatively to design underground structures/caverns and support systems. This research aims to assess and evaluate the rock mass be-haviour for safe, stable, efficient, and economical design of support system for underground structures especially tunnels in diverse rock mass conditions. Methods. In this research, such empirical design methods as Rock Mass Rating (RMR), Q-system and GSI were used to characterize and classify the rock mass environment along the tunnel for the preliminary design of twin tunnels and support systems. The geomechanical parameters, Hoek-Brown failure criterion, and its variants for assessing rock mass behaviour were optimized using multiple regression of Stewart, generalized and globalized variant of nonlinear regression method. The rock mass was classified for the selected section A-A. The excavation method and support system for the said section were designed based on the results obtained from empirical modelling. 2D elasto-plastic finite element method (FEM) was used for numerical analysis of rock mass behaviour and performance of the designed supports in section A-A. Findings. The major rock type encountered in the diversion scheme comprises gabbronorite (GN) and Ultramafic Association (UMA). Based on the quantification of RMR, Q-system, and GSI, section A-A’s rock mass ranges from very poor to poor. From the numerical analysis for the said rock mass environment both RMR and Q system support recommendations are equally efficient to support the rock mass surrounding the tunnel. However, keeping in view the yield zone, especially in the crown, the rock bolt’s length should not be less than 5 meters. Based on the analysis of results, both the tunnels are at a safe distance from each other. Originality. In this research, the design input parameters for numerical modeling were optimized by using different techniques to eliminate the chances of error in evaluating rock mass behaviour and designing an optimum support system in the said rock mass environment. Practical implications. The assessment of rock mass behaviour and the design of optimum support systems in heterogenous conditions is quite challenging and requires thorough investigation through different design techniques. This research provides a refined meth-od to be used for the safe, stable, and economical design of tunnels." @default.
• W4220994406 created "2022-04-03" @default.
• W4220994406 creator A5002106408 @default.
• W4220994406 creator A5006903451 @default.
• W4220994406 creator A5043773134 @default.
• W4220994406 creator A5056964435 @default.
• W4220994406 creator A5075683866 @default.
• W4220994406 creator A5084895339 @default.
• W4220994406 creator A5089472750 @default.
• W4220994406 creator A5090055868 @default.
• W4220994406 date "2022-03-30" @default.
• W4220994406 modified "2023-09-26" @default.
• W4220994406 title "Numerical modelling for geotechnical assessment of rock mass behaviour and performance of support system for diversion tunnels using optimized Hoek-Brown parameters" @default.
• W4220994406 cites W1977168082 @default.
• W4220994406 cites W1982833447 @default.
• W4220994406 cites W1989689825 @default.
• W4220994406 cites W1992147631 @default.
• W4220994406 cites W2002300143 @default.
• W4220994406 cites W2033076109 @default.
• W4220994406 cites W2041230212 @default.
• W4220994406 cites W2075218807 @default.
• W4220994406 cites W2077941330 @default.
• W4220994406 cites W2078295054 @default.
• W4220994406 cites W2155692017 @default.
• W4220994406 cites W241832064 @default.
• W4220994406 cites W2470157450 @default.
• W4220994406 cites W24812779 @default.
• W4220994406 cites W2579306389 @default.
• W4220994406 cites W2609626224 @default.
• W4220994406 cites W2792230419 @default.
• W4220994406 cites W2793037708 @default.
• W4220994406 cites W2804241369 @default.
• W4220994406 cites W2886648539 @default.
• W4220994406 cites W3080464652 @default.
• W4220994406 cites W4252180842 @default.
• W4220994406 doi "https://doi.org/10.33271/mining16.01.001" @default.
• W4220994406 hasPublicationYear "2022" @default.
• W4220994406 type Work @default.
• W4220994406 citedByCount "2" @default.
• W4220994406 countsByYear W42209944062023 @default.
• W4220994406 crossrefType "journal-article" @default.
• W4220994406 hasAuthorship W4220994406A5002106408 @default.
• W4220994406 hasAuthorship W4220994406A5006903451 @default.
• W4220994406 hasAuthorship W4220994406A5043773134 @default.
• W4220994406 hasAuthorship W4220994406A5056964435 @default.
• W4220994406 hasAuthorship W4220994406A5075683866 @default.
• W4220994406 hasAuthorship W4220994406A5084895339 @default.
• W4220994406 hasAuthorship W4220994406A5089472750 @default.
• W4220994406 hasAuthorship W4220994406A5090055868 @default.
• W4220994406 hasBestOaLocation W42209944061 @default.
• W4220994406 hasConcept C111715473 @default.
• W4220994406 hasConcept C127313418 @default.
• W4220994406 hasConcept C127413603 @default.
• W4220994406 hasConcept C135628077 @default.
• W4220994406 hasConcept C16674752 @default.
• W4220994406 hasConcept C187320778 @default.
• W4220994406 hasConcept C31858485 @default.
• W4220994406 hasConcept C41242791 @default.
• W4220994406 hasConcept C66938386 @default.
• W4220994406 hasConcept C95918197 @default.
• W4220994406 hasConceptScore W4220994406C111715473 @default.
• W4220994406 hasConceptScore W4220994406C127313418 @default.
• W4220994406 hasConceptScore W4220994406C127413603 @default.
• W4220994406 hasConceptScore W4220994406C135628077 @default.
• W4220994406 hasConceptScore W4220994406C16674752 @default.
• W4220994406 hasConceptScore W4220994406C187320778 @default.
• W4220994406 hasConceptScore W4220994406C31858485 @default.
• W4220994406 hasConceptScore W4220994406C41242791 @default.
• W4220994406 hasConceptScore W4220994406C66938386 @default.
• W4220994406 hasConceptScore W4220994406C95918197 @default.
• W4220994406 hasIssue "1" @default.
• W4220994406 hasLocation W42209944061 @default.
• W4220994406 hasOpenAccess W4220994406 @default.
• W4220994406 hasPrimaryLocation W42209944061 @default.
• W4220994406 hasRelatedWork W1539305938 @default.
• W4220994406 hasRelatedWork W160436462 @default.
• W4220994406 hasRelatedWork W2008534119 @default.
• W4220994406 hasRelatedWork W2013079821 @default.
• W4220994406 hasRelatedWork W2363751658 @default.
• W4220994406 hasRelatedWork W2364031269 @default.
• W4220994406 hasRelatedWork W2789252524 @default.
• W4220994406 hasRelatedWork W2899054339 @default.
• W4220994406 hasRelatedWork W3116985646 @default.
• W4220994406 hasRelatedWork W4243666895 @default.
• W4220994406 hasVolume "16" @default.
• W4220994406 isParatext "false" @default.
• W4220994406 isRetracted "false" @default.
• W4220994406 workType "article" @default.