Now showing items 1-5 of 5
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 ...
Permeability properties of self-consolidating concrete containing various supplementary cementitious materials
In this study, permeability properties of 17 self-consolidating concrete (SCC) mixtures containing various supplementary cementitious materials (SCM) were investigated by different experimental approaches. The effects of ...
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/ ...