Prasad, Raghu BK and Eskandari, Hamid and Reddy, Venkatarama BV (2009) Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN. In: Construction and Building Materials, 23 (1). pp. 117-128.
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An artificial neural network (ANN) is presented to predict a 28-day compressive strength of a normal and high strength self compacting concrete (SCC) and high performance concrete (HPC) with high volume fly ash. The ANN is trained by the data available in literature on normal volume fly ash because data on SCC with high volume fly ash is not available in sufficient quantity. Further, while predicting the strength of HPC the same data meant for SCC has been used to train in order to economise on computational effort. The compressive strengths of SCC and HPC as well as slump flow of SCC estimated by the proposed neural network are validated by experimental results.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Elsevier.|
|Keywords:||Self compacting concrete; Artificial neural network;High performance concrete;High volume fly ash;Slump flow|
|Department/Centre:||Division of Mechanical Sciences > Civil Engineering|
|Date Deposited:||09 Feb 2010 10:56|
|Last Modified:||19 Sep 2010 05:30|
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