Add to ORKGIn this study, compressive strength of the concrete specimens, which have water-cement ratios of 0.45, 0.50 and 0.55, dosages of 300, 350 and 400, five various ratio of glass fiber, were modeled with artificial neural network (ANN). The data which were provided by ANN model were compared with the data obtained from experimental study and a good agreement was determined between the results
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...
In the 21st century, numerous numerical calculation techniques have been discovered and used in seve...
AbstractThe compressive strength values of cement mortar usually affect by sodium chloride quantitie...
In this study, compressive strength of the concrete specimens, which have water-cement ratios of 0.4...
In this study, compressive strength of the concrete specimens, which have water-cement ratios of 0....
In this study, split tensile strength of the concrete specimens, which have water-cement ratios of 0...
Karaci, Abdulkadir/0000-0002-2430-1372; Demir, Ilhami/0000-0002-8230-4053WOS: 000313062100015The pre...
An irregular distribution of steel fibers in fresh concrete results in a complex structure. This cau...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
With its growing emphasis on sustainability, the construction industry is more interested in applyin...
In this study, Artificial Neural Networks (ANN) analysis is used to predict the compression strength...
Quality of concrete is majorly ascertained through its compressive strength which has a significant ...
Artificial neural networks (ANNs) are the result of academic investigations that use mathematical fo...
Abstract. Articial Neural Networks (ANNs) have recently been introduced as an ecient articial intell...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...
In the 21st century, numerous numerical calculation techniques have been discovered and used in seve...
AbstractThe compressive strength values of cement mortar usually affect by sodium chloride quantitie...
In this study, compressive strength of the concrete specimens, which have water-cement ratios of 0.4...
In this study, compressive strength of the concrete specimens, which have water-cement ratios of 0....
In this study, split tensile strength of the concrete specimens, which have water-cement ratios of 0...
Karaci, Abdulkadir/0000-0002-2430-1372; Demir, Ilhami/0000-0002-8230-4053WOS: 000313062100015The pre...
An irregular distribution of steel fibers in fresh concrete results in a complex structure. This cau...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
With its growing emphasis on sustainability, the construction industry is more interested in applyin...
In this study, Artificial Neural Networks (ANN) analysis is used to predict the compression strength...
Quality of concrete is majorly ascertained through its compressive strength which has a significant ...
Artificial neural networks (ANNs) are the result of academic investigations that use mathematical fo...
Abstract. Articial Neural Networks (ANNs) have recently been introduced as an ecient articial intell...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...
In the 21st century, numerous numerical calculation techniques have been discovered and used in seve...
AbstractThe compressive strength values of cement mortar usually affect by sodium chloride quantitie...