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In the past few years use of Self Compacting Concrete (SCC) is growing tremendous and much research and modification has been done to produce self compacting concrete which has the desired characteristics. There is a current trend in all over the world to utilize the treated and untreated industrial by products, domestic wastes etc. as raw materials in concrete. These not only help in the reuse of the waste materials but also create a cleaner and greener environment. The present study focuses on utilization of Ground granulated blast-furnace slag (GGBS) and granite sludge in SCC as a partial replacement of fine aggregate (M-sand) and cement respectively. In this project, work done on experimental study on fresh and hardened properties such as flow ability, passing ability, compressive strength of M50 grade of SCC. In this investigation SCC was made with partially replacing fine aggregate with GGBS and cement with granite sludge. Five mixes with different percentages of Granite Sludge (0%, 5%, 10%, 15% and 20%) as partial replacement for cement (0%, 10%, 20%, 30% and 40%) of GGBS as partial replacement for fine aggregate (M-sand) is considered. For each mix workability and hardened tests are carried out respectively. The test results for hardened properties are carried out at 7, 28 days respectively. The aim of this research is to know the behavior and mechanical properties of self compacting concrete after addition of industrial waste in different proportion by tests like compressive strength. The obtained results are discussed and finally conclusions are made accordingly.
"Study on Compressive Strength of Self Compacting Concrete with Partial Replacements of Cement and M-Sand with Granite Sludge & GGBS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 10, page no.102 - 106, October-2017, Available :http://www.ijrti.org/papers/IJRTI1710018.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator