Приказ основних података о документу

dc.creatorVasić, Milica
dc.creatorPezo, Lato
dc.creatorRadojević, Zagorka
dc.date.accessioned2022-04-18T15:21:53Z
dc.date.available2022-04-18T15:21:53Z
dc.date.issued2020
dc.identifier.issn0950-0618
dc.identifier.urihttp://rims.institutims.rs/handle/123456789/383
dc.description.abstractThis research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training cycles (r(2)): 0.580-0.907. Standard score analysis (SS) is performed to evaluate the optimal content of raw materials to gain adobe bricks. Optimal macro-oxides content was 53-66% SiO2, 4.6-7.5% Fe2O3, 12.5-18.2% Al2O3, 0.9-8.8% CaO, 1.2-3.6% MgO. The optimal quantity of alevrolite-sized particles varied between 46 and 65%, and clay-sized particles contents ranged from 20.4 to 40.6%.en
dc.publisherElsevier Sci Ltd, Oxford
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/45008/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/31055/RS//
dc.rightsrestrictedAccess
dc.sourceConstruction and Building Materials
dc.subjectPlasticityen
dc.subjectOptimizationen
dc.subjectDrying sensitivityen
dc.subjectAdobe clay bricken
dc.titleOptimization of adobe clay bricks based on the raw material properties (mathematical analysis)en
dc.typearticle
dc.rights.licenseARR
dc.citation.other244: -
dc.citation.rankaM21
dc.citation.volume244
dc.identifier.doi10.1016/j.conbuildmat.2020.118342
dc.identifier.scopus2-s2.0-85079191816
dc.identifier.wos000527410200052
dc.type.versionpublishedVersion


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Приказ основних података о документу