Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods
Concrete rectangular columns reinforced with longitudinal spirals are new types of RC columns which their behavior has been investigated by researchers in recent years. These researches are limited to some experimental studies which investigate the effect of different configurations and layouts of t...
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Iranian Society of Structrual Engineering (ISSE)
2019
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oai:doaj.org-article:fe983dbd434443ac89dc0be88cdebdb82021-11-08T15:52:14ZDetermining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods2476-39772538-261610.22065/jsce.2018.101469.1351https://doaj.org/article/fe983dbd434443ac89dc0be88cdebdb82019-08-01T00:00:00Zhttps://www.jsce.ir/article_57409_54b6103e8372250c3569efb0c463cd15.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Concrete rectangular columns reinforced with longitudinal spirals are new types of RC columns which their behavior has been investigated by researchers in recent years. These researches are limited to some experimental studies which investigate the effect of different configurations and layouts of the spirals within the cross-section of these columns on the bearing capacity and ductility. In this study, for the first time, the behavior of these columns has been simulated using numerical approaches. Finite Element (FE) models of these columns were developed using ABAQUS/CAE/Explicit v.2016 and then verified against available valid experiments in literature. Subsequently, by performing several sensitivity analyses using verified EF model, the effective parameters on bearing capacity of this kind of columns were detected. By changing the value of these parameters in rational ranges, a comprehensive parametric analysis was done after that using FE models in order to produce necessary input data for training an Artificial Neural Network (ANN). This parametric study was performed because of the lake of sufficient available experimental data. The developed ANN was verified against some experimental data. Finally, in addition to ANN, a regression analysis was performed to obtain a polynomial function can predict the bearing capacity of these type of columns. Obtained results demonstrate that the combination of FE and ANN is an effective method to predict the load bearing capacity of RC columns with longitudinal spiral reinforcements and have a good agreement with the results of regression analysis.Mojtaba LabibzadehMohammad DadakIranian Society of Structrual Engineering (ISSE)articlerc columnspiral reinforcementsload bearing capacityfe modellingartificial neural networkBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 6, Iss شماره 2, Pp 157-176 (2019) |
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rc column spiral reinforcements load bearing capacity fe modelling artificial neural network Bridge engineering TG1-470 Building construction TH1-9745 |
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rc column spiral reinforcements load bearing capacity fe modelling artificial neural network Bridge engineering TG1-470 Building construction TH1-9745 Mojtaba Labibzadeh Mohammad Dadak Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
description |
Concrete rectangular columns reinforced with longitudinal spirals are new types of RC columns which their behavior has been investigated by researchers in recent years. These researches are limited to some experimental studies which investigate the effect of different configurations and layouts of the spirals within the cross-section of these columns on the bearing capacity and ductility. In this study, for the first time, the behavior of these columns has been simulated using numerical approaches. Finite Element (FE) models of these columns were developed using ABAQUS/CAE/Explicit v.2016 and then verified against available valid experiments in literature. Subsequently, by performing several sensitivity analyses using verified EF model, the effective parameters on bearing capacity of this kind of columns were detected. By changing the value of these parameters in rational ranges, a comprehensive parametric analysis was done after that using FE models in order to produce necessary input data for training an Artificial Neural Network (ANN). This parametric study was performed because of the lake of sufficient available experimental data. The developed ANN was verified against some experimental data. Finally, in addition to ANN, a regression analysis was performed to obtain a polynomial function can predict the bearing capacity of these type of columns. Obtained results demonstrate that the combination of FE and ANN is an effective method to predict the load bearing capacity of RC columns with longitudinal spiral reinforcements and have a good agreement with the results of regression analysis. |
format |
article |
author |
Mojtaba Labibzadeh Mohammad Dadak |
author_facet |
Mojtaba Labibzadeh Mohammad Dadak |
author_sort |
Mojtaba Labibzadeh |
title |
Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
title_short |
Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
title_full |
Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
title_fullStr |
Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
title_full_unstemmed |
Determining of Load Bearing Capacity of Rectangular Concrete Columns Reinforced with Longitudinal Spirals Using FEM and ANN Methods |
title_sort |
determining of load bearing capacity of rectangular concrete columns reinforced with longitudinal spirals using fem and ann methods |
publisher |
Iranian Society of Structrual Engineering (ISSE) |
publishDate |
2019 |
url |
https://doaj.org/article/fe983dbd434443ac89dc0be88cdebdb8 |
work_keys_str_mv |
AT mojtabalabibzadeh determiningofloadbearingcapacityofrectangularconcretecolumnsreinforcedwithlongitudinalspiralsusingfemandannmethods AT mohammaddadak determiningofloadbearingcapacityofrectangularconcretecolumnsreinforcedwithlongitudinalspiralsusingfemandannmethods |
_version_ |
1718441720195055616 |