Neural network prediction of confined peak stresses of RC columns
Other Title(s)
التنبؤ بواسطة الشبكة العصبية لإجهادات الانضغاط المقيدة القصوى لعمود من الخرسانة المسلحة
Author
Source
Issue
Vol. 7, Issue 3 (31 Oct. 2016), pp.80-95, 16 p.
Publisher
University of Kufa Faculty of Engineering
Publication Date
2016-10-31
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Abstract EN
The research presents ANN ("Artificial Neural Networks") estimation of confined peak strength for R.C columns.
The modeling of the strength of reinforced concrete columns by uses of the (FEM) finite element method gets many difficulties, starting in geometric representation down to nonlinearities due to loads.
The use of neural networks trained well can give us a model that can be utilized as an alternative and successful model for those columns.
Experimental sets of data for concrete of square and circular concrete columns were gathered from many researches to develop an Artificial Neural Network formula as input data set parameters consist of ultimate strengths, size of mainly longitudinal and ties reinforcements, compressive concrete strength, thickness of concrete cover for reinforcement, specimen geometric dimension, and stirrup bars spacing.
Confined Peaking Compressive Strength (CPCS) of square and circular concrete columns is predicted by neural networks technique and sorted with analytical models and found that they are scientifically accepted.
The prediction was performed by package program (Mat Lap).
American Psychological Association (APA)
Abbas, Luayy Muhammad. 2016. Neural network prediction of confined peak stresses of RC columns. Kufa Journal of Engineering،Vol. 7, no. 3, pp.80-95.
https://search.emarefa.net/detail/BIM-747271
Modern Language Association (MLA)
Abbas, Luayy Muhammad. Neural network prediction of confined peak stresses of RC columns. Kufa Journal of Engineering Vol. 7, no. 3 (Oct. 2016), pp.80-95.
https://search.emarefa.net/detail/BIM-747271
American Medical Association (AMA)
Abbas, Luayy Muhammad. Neural network prediction of confined peak stresses of RC columns. Kufa Journal of Engineering. 2016. Vol. 7, no. 3, pp.80-95.
https://search.emarefa.net/detail/BIM-747271
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 94-95
Record ID
BIM-747271