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Prediction of the Failure Stress of Hydrogen-rich Water Based Cement Mortar Using the Weibull Distribution Model

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dc.contributor.authorJo, Byung Wan-
dc.contributor.authorChakraborty, Sumit-
dc.contributor.authorSikandar, Muhammad Ali-
dc.contributor.authorLee, Yun Sung-
dc.date.accessioned2021-07-30T05:07:12Z-
dc.date.available2021-07-30T05:07:12Z-
dc.date.created2021-05-12-
dc.date.issued2018-05-
dc.identifier.issn1226-7988-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3117-
dc.description.abstractThe paper presents the compressive strength distribution pattern of the hydrogen-rich water based cement mortar. In this study, the mortar samples were fabricated using different concentrations of hydrogen-rich water (0.2-0.5 ppm). The performance of hydrogen-rich water was evaluated measuring the setting time and the compressive strength of the mortar samples. Subsequently, the strength data were statistically analyzed using the Weibull distribution model in the 37% and the 95% confidence level (survival probability). Analyzing the results, it is anticipated that the use of hydrogen-rich water for the fabrication of mortar leads to set the cement quickly and yields comparatively greater compressive strength than that of the control mortar prepared using normal water. Based on the Weibull distribution analysis, it is predicted that the mortar prepared using 0.5 ppm hydrogen-rich water would not break under 31.46 MPa compressive stresses in 95% cases. Finally, based on the scanning electron microscopy in conjugation with the X-ray diffraction and thermogravimetry analysis, a plausible model has been proposed to explain the overall performances of the hydrogen-rich waterbased mortar.-
dc.language영어-
dc.language.isoen-
dc.publisher대한토목학회-
dc.titlePrediction of the Failure Stress of Hydrogen-rich Water Based Cement Mortar Using the Weibull Distribution Model-
dc.typeArticle-
dc.contributor.affiliatedAuthorJo, Byung Wan-
dc.identifier.doi10.1007/s12205-017-1560-3-
dc.identifier.scopusid2-s2.0-85027000299-
dc.identifier.wosid000431052600030-
dc.identifier.bibliographicCitationKSCE Journal of Civil Engineering, v.22, no.5, pp.1827 - 1839-
dc.relation.isPartOfKSCE Journal of Civil Engineering-
dc.citation.titleKSCE Journal of Civil Engineering-
dc.citation.volume22-
dc.citation.number5-
dc.citation.startPage1827-
dc.citation.endPage1839-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002338030-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering-
dc.relation.journalWebOfScienceCategoryCivil-
dc.subject.keywordPlusARTIFICIAL NEURAL-NETWORK-
dc.subject.keywordPlusCOMPRESSIVE STRENGTH-
dc.subject.keywordPlusMECHANICAL-PROPERTIES-
dc.subject.keywordPlusHYDRATION-
dc.subject.keywordPlusCONCRETE-
dc.subject.keywordPlusJUTE-
dc.subject.keywordPlusASH-
dc.subject.keywordAuthorcement mortar-
dc.subject.keywordAuthoradmixture-
dc.subject.keywordAuthorhydrogen-rich water-
dc.subject.keywordAuthormechanical strength-
dc.subject.keywordAuthorweibull distribution-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs12205-017-1560-3-
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