This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexural strengths and compressive strengths of blended cements under elevated temperatures. Clinoptilolite was used as cement substitution material in the experimental stage. Substitution ratios in the cement mortar mix designs were selected as 0% (reference), 5%, 10%, 15% and 20%. The data used in the modeling process were obtained experimentally, after mortar specimens having reached the age of 90 days and exposed to 300°C, 400°C, 500°C temperatures for 3 hours. In the RBMFL model, temperature (C°) and substitution ratio of clinoptilolite (%) were inputs while the compressive strengths and flexural strengths of mortars were outputs. Results wer...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
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...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
WOS: 000273608300015In this study, the changing of ductility for asphalt cement in different tempera...
This paper presents a soft methodology for predicting the 28-day compressive strength of Portland ce...
This paper presents the outcome of a series of tests to determine properties of blended cement paste...
In this study, Fuzzy Logic models have been introduced to predict flexural strength values of cement...
Thesis (M.S., Mechanical Engineering)--California State University, Sacramento, 2013.The purpose of ...
Gulbandilar, Eyyup/0000-0001-5559-5281WOS: 000319769300023Fuzzy logic has recently been widely used ...
This study models the effect of high temperatures of 100°C, 200°C, 300°C, 400°C and 500°C on blended...
3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- ...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
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...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
WOS: 000273608300015In this study, the changing of ductility for asphalt cement in different tempera...
This paper presents a soft methodology for predicting the 28-day compressive strength of Portland ce...
This paper presents the outcome of a series of tests to determine properties of blended cement paste...
In this study, Fuzzy Logic models have been introduced to predict flexural strength values of cement...
Thesis (M.S., Mechanical Engineering)--California State University, Sacramento, 2013.The purpose of ...
Gulbandilar, Eyyup/0000-0001-5559-5281WOS: 000319769300023Fuzzy logic has recently been widely used ...
This study models the effect of high temperatures of 100°C, 200°C, 300°C, 400°C and 500°C on blended...
3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- ...
A fuzzy logic prediction model for fresh and hardened properties of self-compacting concrete (SCC) c...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fre...