Title of article :
Prediction of Concrete Strength With Artificial Neural Networks By Using Physical Properties of Aggregates
Author/Authors :
ÖZBAKIR, Okan istanbul Teknik Üniversitesi - Maden Fakültesi - Maden Mühendisliði Bölümü, turkey , NASUF, Sabri Erkin istanbul Teknik Üniversitesi - Maden Fakültesi - Maden Mühendisliði Bölümü, turkey
Abstract :
Determination of the effect of the physical and mechanical properties of aggregates that have considerable effect on concrete strength is only possible by conducting a series of experimental studies.These studies take long time and mostly are not economic.Therefore, different methods formed by utilizing the experimental studies done before are used to determine the strength characteristics.In this study, the impact of physical properties of aggregates and using 7-day and 28-day cured concrete has been researched. Then a model has been developed by using artificial neural network (ANN) which the results obtained from the tests. The values determined experimentally have been estimated by developing models in ANN method.It has been observed at the comparisons that the training and test results in the models can be estimated.
Keywords :
Aggregate , Artificial neural network , Concrete strength
Journal title :
Selcuk University Journal Of The Engineering, Science and Technology
Journal title :
Selcuk University Journal Of The Engineering, Science and Technology