Prediction of Properties of M25 SCC for 20 mm & 12.5 mm Size Coarse Aggregate Blends Using Neural Networks
Chamarthy Krishnama Raju1, N. Sai Namratha Reddy2, G. Uday Kumar3, P. Ravitheja Reddy4, B. Thirumaleshu5, M. Samba Siva Reddy6
1Chamarthy Krishnama Raju, Associate Professor, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
2N. Sai Namratha Reddy, UG Student, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
3G. Uday Kumar, UG Student, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
4P. Ravitheja Reddy, UG Student, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
5B. Thirmaleshu, UG Student, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
6M. Samba Siva Reddy, UG Student, Department of Civil Engineering, RGM College of Engineering & Technology, Nandayal (Andhra Pradesh), India.
Manuscript received on 26 February 2019 | Revised Manuscript received on 13 March 2019 | Manuscript Published on 17 March 2019 | PP: 7-9 | Volume-7 Issue-ICETESM18, March 2019 | Retrieval Number: ICETESM03|19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Design of Self Compacting Concrete (SCC) mix for particular strength and fresh properties requires some trails. To reduce time and cost of mix design, Artificial Neural Networks (ANN) tool is used. Present work establishes the use of ANN for prediction of properties of M25 SCC for various sizes of coarse aggregates blends. The range of error for predicted compressive strengths compared to graph and ANN values is from 2.1% to 5.0%.
Keywords: ANN; Coarse Aggregate Blends; Compressive Strength; Fresh Properties of SCC; Nan-Su Mix Design; M25 SCC ANN; Coarse Aggregate Blends; Compressive Strength; Fresh Properties of SCC; Nan-Su Mix Design; M25 SCC.
Scope of the Article: Properties and Mechanics of Concrete