Research Article

Prediction of the Mechanical Properties of Fibre-Reinforced Quarry Dust Concrete Using Response Surface and Artificial Neural Network Techniques

Table 2

Combinations obtained from RSM model.

Mix designationJute fibres (%) Coconut fibres (%) Quarry dust (%) Fibre length (mm)Coarse aggregate (kg/m3)Fine aggregate (kg/m3)Cement (kg/m3)

JCQD0101.250501214.268642.576359.210
JCQD021.251.2512.5501214.268642.576399.125
JCQD031.252.50501214.268642.576399.125
JCQD041.251.2512.5501214.268642.576399.125
JCQD052.52.512.5501214.268642.576379.170
JCQD062.51.2525501214.268642.576379.170
JCQD070012.5501214.268642.576379.170
JCQD0802.512.5501214.268642.576399.125
JCQD091.2500501214.268642.576359.210
JCQD101.251.2512.5501214.268642.576379.170
JCQD1101.2525501214.268642.576379.170
JCQD121.25025501214.268642.576359.210
JCQD131.252.525501214.268642.576379.170
JCQD142.51.250501214.268642.576379.170
JCQD152.5012.5501214.268642.576359.210