Matches in SemOpenAlex for { <https://semopenalex.org/work/W1982481158> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W1982481158 endingPage "891" @default.
- W1982481158 startingPage "881" @default.
- W1982481158 abstract "SUMMARY The sawing rate is one of the most significant and effective parameters in extracting building stones via diamond wire sawing. This parameter designates the capability of diamond wire sawing for sawing different stones; in addition, the parameter gives rise to economical considerations for quarry designers. In this study, the existent relations between stone geotechnical parameters and the sawing rate of stones via diamond wire sawing were analyzed using regression and correlation coefficient as well as the collected data from Marmarit stone quarries. Moreover, we estimated the sawing rate of Marmarit using the dimensional stone rock mass rating (DSRMR); upon comparison of the data obtained from DSRMR our pre‐collected data on quarries, we did not gain satisfactory results from DSRMR, hence we used artificial neural network (ANN). The results showed that the percentage of Silica, the coefficient of water absorption, the uniaxial compressive strength (UCS), and abrasive hardness are the proper parameters for creating the ANN. Discontinuities have the least effects possible on diamond wire sawing. Having given the training possibility of the ANN, and its ability to evaluate relations among input parameters, the ANN, which was being trained with Marmarit's traits, was an accurate network for estimating diamond wire sawing in Marmarit quarries, although it could not generalize this network for other stones such as Chini and Crystal. Copyright © 2011 John Wiley & Sons, Ltd." @default.
- W1982481158 created "2016-06-24" @default.
- W1982481158 creator A5007907775 @default.
- W1982481158 creator A5080565058 @default.
- W1982481158 date "2011-06-23" @default.
- W1982481158 modified "2023-10-18" @default.
- W1982481158 title "Prediction of the sawing quality of Marmarit stones using the capability of artificial neural network" @default.
- W1982481158 cites W1975261028 @default.
- W1982481158 cites W2055391777 @default.
- W1982481158 cites W2061199522 @default.
- W1982481158 cites W2069839644 @default.
- W1982481158 cites W2079575071 @default.
- W1982481158 cites W2087617252 @default.
- W1982481158 cites W2114819755 @default.
- W1982481158 doi "https://doi.org/10.1002/nag.1033" @default.
- W1982481158 hasPublicationYear "2011" @default.
- W1982481158 type Work @default.
- W1982481158 sameAs 1982481158 @default.
- W1982481158 citedByCount "7" @default.
- W1982481158 countsByYear W19824811582013 @default.
- W1982481158 countsByYear W19824811582015 @default.
- W1982481158 countsByYear W19824811582016 @default.
- W1982481158 countsByYear W19824811582017 @default.
- W1982481158 countsByYear W19824811582022 @default.
- W1982481158 countsByYear W19824811582023 @default.
- W1982481158 crossrefType "journal-article" @default.
- W1982481158 hasAuthorship W1982481158A5007907775 @default.
- W1982481158 hasAuthorship W1982481158A5080565058 @default.
- W1982481158 hasConcept C119857082 @default.
- W1982481158 hasConcept C127413603 @default.
- W1982481158 hasConcept C134306372 @default.
- W1982481158 hasConcept C154945302 @default.
- W1982481158 hasConcept C15627037 @default.
- W1982481158 hasConcept C159985019 @default.
- W1982481158 hasConcept C16674752 @default.
- W1982481158 hasConcept C187320778 @default.
- W1982481158 hasConcept C192562407 @default.
- W1982481158 hasConcept C2776921476 @default.
- W1982481158 hasConcept C2780092901 @default.
- W1982481158 hasConcept C2780957350 @default.
- W1982481158 hasConcept C2993100947 @default.
- W1982481158 hasConcept C30407753 @default.
- W1982481158 hasConcept C33923547 @default.
- W1982481158 hasConcept C41008148 @default.
- W1982481158 hasConcept C41242791 @default.
- W1982481158 hasConcept C50644808 @default.
- W1982481158 hasConcept C66938386 @default.
- W1982481158 hasConcept C78519656 @default.
- W1982481158 hasConceptScore W1982481158C119857082 @default.
- W1982481158 hasConceptScore W1982481158C127413603 @default.
- W1982481158 hasConceptScore W1982481158C134306372 @default.
- W1982481158 hasConceptScore W1982481158C154945302 @default.
- W1982481158 hasConceptScore W1982481158C15627037 @default.
- W1982481158 hasConceptScore W1982481158C159985019 @default.
- W1982481158 hasConceptScore W1982481158C16674752 @default.
- W1982481158 hasConceptScore W1982481158C187320778 @default.
- W1982481158 hasConceptScore W1982481158C192562407 @default.
- W1982481158 hasConceptScore W1982481158C2776921476 @default.
- W1982481158 hasConceptScore W1982481158C2780092901 @default.
- W1982481158 hasConceptScore W1982481158C2780957350 @default.
- W1982481158 hasConceptScore W1982481158C2993100947 @default.
- W1982481158 hasConceptScore W1982481158C30407753 @default.
- W1982481158 hasConceptScore W1982481158C33923547 @default.
- W1982481158 hasConceptScore W1982481158C41008148 @default.
- W1982481158 hasConceptScore W1982481158C41242791 @default.
- W1982481158 hasConceptScore W1982481158C50644808 @default.
- W1982481158 hasConceptScore W1982481158C66938386 @default.
- W1982481158 hasConceptScore W1982481158C78519656 @default.
- W1982481158 hasIssue "7" @default.
- W1982481158 hasLocation W19824811581 @default.
- W1982481158 hasOpenAccess W1982481158 @default.
- W1982481158 hasPrimaryLocation W19824811581 @default.
- W1982481158 hasRelatedWork W1971613737 @default.
- W1982481158 hasRelatedWork W1979614775 @default.
- W1982481158 hasRelatedWork W2018776352 @default.
- W1982481158 hasRelatedWork W2051894985 @default.
- W1982481158 hasRelatedWork W2079883921 @default.
- W1982481158 hasRelatedWork W2330948445 @default.
- W1982481158 hasRelatedWork W2347185479 @default.
- W1982481158 hasRelatedWork W2367129280 @default.
- W1982481158 hasRelatedWork W2394160336 @default.
- W1982481158 hasRelatedWork W3164111509 @default.
- W1982481158 hasVolume "36" @default.
- W1982481158 isParatext "false" @default.
- W1982481158 isRetracted "false" @default.
- W1982481158 magId "1982481158" @default.
- W1982481158 workType "article" @default.