Optimisation of Mix Proportioning of Self-Compacting Concrete using Heuristic Search
Nimisha Jiji1, Alisha Jais2, Ramesh Kannan M3
1Nimisha Jiji, Graduate Student, Division of Structural and Geotechnical Engineering, School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
2Alisha Jais, Graduate Student, Division of Structural and Geotechnical Engineering, School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
3Ramesh Kannan M*, Assistant Professor, Division of Structural and Geotechnical Engineering, School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5339-5346 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7560118419/2019©BEIESP | DOI: 10.35940/ijrte.D7560.118419
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Abstract: The quality of concrete construction mainly depends on the factors like concrete constituents, degree of supervision, method of curing, etc. Hitherto, one of the most influencing factors is the mix design or proportioning that contributes major parts directly to the quality of finished product. Unlike conventional concrete the mix proportion of Self-Compacting Concrete or Self-Consolidating Concrete (SCC) is complex since it incorporates special concrete chemicals such as Viscosity Modifying Agent (VMA), Air Entraining Agent (AEA), and so on, that tends to alter the workability and other properties of concrete and moreover it has no standard procedures and is generally carried out by trial and error method. This research seeks to develop a rational methodology for optimal mix proportion strategy for SCC based on the standard tests on SCC such as V-funnel and J-ring test conducted in the concrete laboratory in controlled environment as per EFNARC 2005 standard guidelines. The test results are incorporated for computer simulation and using a Heuristic Search Algorithms, the optimum mix proportioning of SCC for different admixtures are obtained.
Keywords: Air- Entraining Admixture, self-compacting concrete, Viscosity Modifying Admixture, Heuristic Search Algorithms
Scope of the Article: Concrete Engineering.