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Experimental Investigation on Self- Compacting Concrete Prepared using Bailey Aggregate Grading Technique
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The study presents the results of an experimental evaluation of M30, M40 and M50 grade Self Compacting Concrete (SCC) with three Nominal Maximum Aggregate Sizes (NMAS), namely 20mm, 16mm and 12.5mm, with Bailey Gradation (BG) in comparison with Indian Standard Gradation (ISG). Rheological and mechanical properties of SCC were evaluated in detail and according to the results, the concrete sample containing lower NMAS with BG demonstrated improvement in modulus of elasticity and compressive strength, while improving the rheological properties as well. Meanwhile, SCC demonstrated poor performance in split tensile and flexural strengths with lower NMAS gradations and a direct correlation was evident as the increase in NMAS caused an increase in the strength and vice-versa. Upon comparison of BG with ISG, it was revealed that BG mixes succeeded to demonstrate superior performance. From the material optimization, rheological and mechanical performance study, it is recommended that BG with NMAS 16mm can be utilized for conventional SCC. For further investigation only, M40 grade with BG is considered to analyse the performance of recycled aggregate importance in self-compacting concrete.
Further developing sustainable self-compacting concrete (SCC) through the optimization process by incorporating Reclaimed Asphalt Pavement (RAP) and Total Recycled Concrete Aggregate (TRCA) is carried out. Besides Cashew Nut-shell Ash (CNA) was utilized as a cementitious material. To achieve this optimization technique is implemented in four stages, which are the RAP and TRCA aggregate treatment process, gradation selection process, RAP and TRCA replacement percentage, and considering the CNA replacement percentage. RAP and TRCA have been treated by a novel freeze-thaw cyclic procedure followed by the abrasion treatment method. Bailey’s Aggregate Grading Technique (BAGT) has been implemented to line up the aggregate packing gradation.
International Research Publication and Journals
Title: Experimental Investigation on Self- Compacting Concrete Prepared using Bailey Aggregate Grading Technique
Description:
The study presents the results of an experimental evaluation of M30, M40 and M50 grade Self Compacting Concrete (SCC) with three Nominal Maximum Aggregate Sizes (NMAS), namely 20mm, 16mm and 12.
5mm, with Bailey Gradation (BG) in comparison with Indian Standard Gradation (ISG).
Rheological and mechanical properties of SCC were evaluated in detail and according to the results, the concrete sample containing lower NMAS with BG demonstrated improvement in modulus of elasticity and compressive strength, while improving the rheological properties as well.
Meanwhile, SCC demonstrated poor performance in split tensile and flexural strengths with lower NMAS gradations and a direct correlation was evident as the increase in NMAS caused an increase in the strength and vice-versa.
Upon comparison of BG with ISG, it was revealed that BG mixes succeeded to demonstrate superior performance.
From the material optimization, rheological and mechanical performance study, it is recommended that BG with NMAS 16mm can be utilized for conventional SCC.
For further investigation only, M40 grade with BG is considered to analyse the performance of recycled aggregate importance in self-compacting concrete.
Further developing sustainable self-compacting concrete (SCC) through the optimization process by incorporating Reclaimed Asphalt Pavement (RAP) and Total Recycled Concrete Aggregate (TRCA) is carried out.
Besides Cashew Nut-shell Ash (CNA) was utilized as a cementitious material.
To achieve this optimization technique is implemented in four stages, which are the RAP and TRCA aggregate treatment process, gradation selection process, RAP and TRCA replacement percentage, and considering the CNA replacement percentage.
RAP and TRCA have been treated by a novel freeze-thaw cyclic procedure followed by the abrasion treatment method.
Bailey’s Aggregate Grading Technique (BAGT) has been implemented to line up the aggregate packing gradation.
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