Now showing items 1-4 of 4
Strength prediction of high-strength concrete by fuzzy logic and artificial neural networks
(American Society of Civil Engineers, 2014-11-01)
High-strength concretes (HSC) were prepared with five different binder contents, each of which had several silica fume (SF) ratios (0-15%). The compressive strength was determined at 3, 7, and 28 days, resulting in a total ...
Fuzzy logic model for the prediction of cement compressive strength
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard curing conditions was created. Data collected from a cement plant were used in the model construction and testing. The input ...
The use of GA-ANNs in the modelling of compressive strength of cement mortar
In this paper, results of a project aimed at modelling the compressive strength of cement mortar under standard curing conditions are reported. Plant data were collected for 6 months for the chemical and physical properties ...
Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites
A three layer feed forward artificial neural network (ANN) model having three input neurons, one output neuron and two hidden neurons was developed to predict the ply-lay up compressive strength of VARTM processed E-glass/ ...