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dc.contributor.authorKHAN, MUHAMMAD ADIL-
dc.contributor.authorCHOUDHRY, MAHBOOB ALI-
dc.contributor.authorJAVED, ASJAD-
dc.contributor.authorAHMED, MOHAMMAD LAEEQUE-
dc.contributor.authorKANWAL, HUMMAIRA-
dc.date.accessioned2019-10-30T04:47:32Z-
dc.date.available2019-10-30T04:47:32Z-
dc.date.issued2019-10-01-
dc.identifier.issn0254-7821-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/762-
dc.description.abstractThe most important property of concrete is its compressive strength, which is carried out after 28-daysproper curing of concrete. This test is affected by other factors like the condition of curing, water tocement ratio, method of transportation, handling of the concrete, extent of vibrations and quality of theingredients of mix proportion.This research study is an attempt to develop a simple Mathematical equation also known as mathematicalmodel, by using linear regression analysis to estimate the 28-day fc’ (Compressive Strength) of concretefrom the test results carried out atearly age. This simple linear equation develops a relationship of 28.5hours accelerated cured compressive strength with normal cured compressive strength after 28-days.These results show that most of the predicted values of compressive strength, calculated via equations,lies within permissible range difference for compressive strength achieved by experimental method,which is clear indication of credibility of the equations obtained for compressive strength at different ageof concrete. The results showed that compressive strength of concrete increases with the increase incontent of FA (Fly Ash) upto 30% replacement, and the compressive strength of the concrete startsdecreasing beyond 30% FA substitution. This argument is totally in line with all the literature carriedout for this research.en_US
dc.language.isoen_USen_US
dc.publisherMehran University of Engineering and Technology, Jamshoro Pakistanen_US
dc.subjectEngineering and Technologyen_US
dc.subjectCompressive Strengthen_US
dc.subjectAccelerated Curingen_US
dc.subjectFly Ashen_US
dc.subjectConcreteen_US
dc.subjectRegression Analysisen_US
dc.titleStrength Prediction Model for Accelerated Cured Fly-AshBased Concreteen_US
dc.typeArticleen_US
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