Prediction of axial strength in circular steel tube confined concrete columns using artificial intelligence
نویسندگان
چکیده
منابع مشابه
Behavior of FRP-Confined Concrete-Filled Steel Tube Columns
This paper presents the results of an experimental study into the behavior of concrete-filled steel tube columns confined by fiber-reinforced polymer (FRP). Eleven columns were tested to investigate the effects of the FRP layer number, the thickness of the steel tube and concrete strength on their load capacity and axial deformation capacity. The experimental results indicated that the FRP wrap...
متن کاملPrediction of axial load capacity of stub circular concrete-filled steel tube using fuzzy logic
a r t i c l e i n f o Keywords: Concrete-filled steel tube (CFST) Confinement effect Fuzzy logic Modified learning from example (MLFE) Axial load capacity A circular concrete-filled steel tube (CFST) has several advantages compared with the conventional reinforced concrete member or hollow steel tube, since the tri-axial state of compression of the concrete infill increases its strength and str...
متن کاملCompressive Strength of Confined Concrete in CCFST Columns
This paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (CCFST) stub columns under axial loading condition based on Artificial Neural Networks (ANNs) by using a large wide of experimental investigations. The input parameters were selected based on past studies such as outer diameter of column, compressive strength...
متن کاملCompressive Strength Prediction by ANN Formulation Approach for FRP Confined Rectangular Concrete Columns
Enhancement of strength and ductility is the main reason for the extensive use of FRP (fiber reinforced polymer) jackets to provide external confinement to reinforced concrete columns especially in seismic areas. Therefore, numerous researches have been carried out in order to provide a better description of the behavior of FRP confined concrete for practical design purposes. This study present...
متن کاملPREDICTION OF BIAXIAL BENDING BEHAVIOR OF STEEL-CONCRETE COMPOSITE BEAM-COLUMNS BY ARTIFICIAL NEURAL NETWORK
In this study, the complex behavior of steel encased reinforced concrete (SRC) composite beam–columns in biaxial bending is predicted by multilayer perceptron neural network. For this purpose, the previously proposed nonlinear analysis model, mixed beam-column formulation, is verified with biaxial bending test results. Then a large set of benchmark frames is provided and P-Mx-My triaxial ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Science and Technology in Civil Engineering (STCE) - NUCE
سال: 2021
ISSN: 2734-9489,1859-2996
DOI: 10.31814/stce.nuce2021-15(2)-10