International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- OCT 25-29, 2014 -- Antalya, TURKEYWOS: 000363011700128In this study, a rule-based Mamdani-type fuzzy logic (RBMFL) model was developed for prediction of compressive strength of lightweight concretes containing silica fume (SF) and fly ash (FA). Pumice was used as the aggregate in the concretes. In the concrete mixture 0, 5, 10, 15 and 20% of fly ash and 0, 5, 10, 15 and 20% of silica fume, for each value of fly ash content, were added by replacing the cement. The compressive strength of the lightweight concretes was investigated experimentally. Experimental results were used to construct the fuzzy logic model. In the study, the values obtained fr...
High-strength concretes (HSC) were prepared with five different binder contents, each of which had s...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fre...
In this study, a rule-based Mamdani-type fuzzy logic (RBMFL) model was developed for prediction of c...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
Self-compacting concrete (SCC) developed in Japan in the late 80s has enabled the construction indus...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this study, a fuzzy logic prediction model for compressive strength of concrete was developed bas...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexu...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- ...
In this study, we worked to estimate the fracture energy of steel fibre-reinforced concrete (SFRC) a...
High-strength concretes (HSC) were prepared with five different binder contents, each of which had s...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fre...
In this study, a rule-based Mamdani-type fuzzy logic (RBMFL) model was developed for prediction of c...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
Self-compacting concrete (SCC) developed in Japan in the late 80s has enabled the construction indus...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this study, a fuzzy logic prediction model for compressive strength of concrete was developed bas...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexu...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- ...
In this study, we worked to estimate the fracture energy of steel fibre-reinforced concrete (SFRC) a...
High-strength concretes (HSC) were prepared with five different binder contents, each of which had s...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fre...