The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fresh properties of self-compacting concrete. In the modelling process, the percentage of fly ash and the percentage of granulated blast furnace slag, as replacement of cement, the percentage of micronized calcite, as replacement of total aggregate, were used as inputs. The slump flow diameter and time and also the V-funnel time were used as outputs. Results show that fuzzy logic modelling may be a useful approach to predict fresh properties of self-compacting concrete, containing fly ash, granulated blast furnace slag and micronized calcite
This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexu...
Concrete plays a vital role in the design and construction of the infrastructure. To meet the global...
Kendiliğinden Yerleşen Betonlar (KYB) sahip oldukları yüksek akışkanlık özellikleri nedeniyle günümü...
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...
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...
Self-compacting concrete (SCC) developed in Japan in the late 80s has enabled the construction indus...
International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- OCT ...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
Gulbandilar, Eyyup/0000-0001-5559-5281WOS: 000319769300023Fuzzy logic has recently been widely used ...
In this study, a fuzzy logic prediction model for compressive strength of concrete was developed bas...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for pre...
Concrete plays a vital role in the design and construction of the infrastructure. To meet the global...
This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexu...
Concrete plays a vital role in the design and construction of the infrastructure. To meet the global...
Kendiliğinden Yerleşen Betonlar (KYB) sahip oldukları yüksek akışkanlık özellikleri nedeniyle günümü...
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...
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...
Self-compacting concrete (SCC) developed in Japan in the late 80s has enabled the construction indus...
International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- OCT ...
In this paper, application of fuzzy logic technique using triangular membership function for develop...
Gulbandilar, Eyyup/0000-0001-5559-5281WOS: 000319769300023Fuzzy logic has recently been widely used ...
In this study, a fuzzy logic prediction model for compressive strength of concrete was developed bas...
Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method ...
The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for pre...
Concrete plays a vital role in the design and construction of the infrastructure. To meet the global...
This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexu...
Concrete plays a vital role in the design and construction of the infrastructure. To meet the global...
Kendiliğinden Yerleşen Betonlar (KYB) sahip oldukları yüksek akışkanlık özellikleri nedeniyle günümü...