Development of Statistical Model, Mixture Design, Fresh and Hardened Properties of Furnace Slag - Lightweight Self Consolidating Concrete (FS-LWSCC)

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dc.contributor.author Abdurrahmaan Lotfy; Ryerson University
dc.contributor.author Mohamed Lachemi; Ryerson University
dc.contributor.author Anwar Hossain; Ryerson University
dc.contributor.author Erdogan Ozbay; Mustafa Kemal University
dc.date 2013-06-07 04:47:57
dc.date.accessioned 2013-07-15T11:43:02Z
dc.date.accessioned 2015-11-23T16:04:47Z
dc.date.available 2013-07-15T11:43:02Z
dc.date.available 2015-11-23T16:04:47Z
dc.date.issued 2013-07-15
dc.identifier http://ecs.epoka.edu.al/index.php/bccce/bccce2011/paper/view/296
dc.identifier.uri http://dspace.epoka.edu.al/handle/1/506
dc.description.abstract A response surface method was carried out to model the influence of key mixtureparameters on properties affecting the performance of Expended Furnace Slag - LightweightSelf Consolidating Concrete (FS-LWSCC). Three key parameters that have significantinfluence on mixture characteristics of LWSCC were selected to derive mathematical modelfor evaluating the concrete fresh and hardened properties. Experimental levels of the variables(maximum and minimum) water/binder ratio (0.30 to 0.40), HRWRA (SP) (0.3 to1.2% bytotal content of binder), and total binder content (410 to 550kg/m3) were used for the designof Furnace Slag-LWSCC mixtures. A total of 18 mixtures were designed and produced. Theresponses of the derived statistical model were slump flow, V-funnel flow time, J-Ring flow,J-Ring height difference, L- box, filling capacity, bleeding, air content, initial and final settingtime, sieve segregation test, fresh unit weight, 28 days air dry unit weight, 28 days oven dryunit weight, and 7 and 28 days compressive strengths. It was seen that the proposed mixdesign model is a useful tool to understand the interactions between mixture parametersaffecting important characteristics of Expanded Furnace Slag - LWSCC. This understandingmight be simplified the mix design process and the required testing, as the model identifiesthe relative significance of each parameter, therefore providing important informationrequired to optimize the mix design. Consequently, minimize the effort needed to optimizeLWSCC mixtures ensuring balance between parameters affecting fresh and hardenedproperties.
dc.format application/pdf
dc.language en
dc.publisher International Balkans Conference on Challenges of Civil Engineering
dc.rights Authors who submit to this conference agree to the following terms:<br /> <strong>a)</strong> Authors retain copyright over their work, while allowing the conference to place this unpublished work under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a>, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference.<br /> <strong>b)</strong> Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference.<br /> <strong>c)</strong> In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference.
dc.source International Balkans Conference on Challenges of Civil Engineering; 1st International Balkans Conference on Challenges of Civil Engineering
dc.subject lightweight self consolidating concrete; furnace slag; lightweight aggregates; mixture design
dc.title Development of Statistical Model, Mixture Design, Fresh and Hardened Properties of Furnace Slag - Lightweight Self Consolidating Concrete (FS-LWSCC)
dc.type Peer-reviewed Paper


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  • BCCCE 2011
    1st International Balkans Conference on Challenges of Civil Engineering

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