Using the Artificial Neural Network to Predict the Axial Strength and Strain of Concrete-Filled Plastic Tube
The main purpose of the current study was to formulate an empirical expression for predicting the axial compression capacity and axial strain of concrete-filled plastic tubular specimens (CFPT) using the artificial neural network (ANN). A total of seventy-two experimental test data of CFPT and uncon...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2020-04-01
|
| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | http://www.jsoftcivil.com/article_107853_6cab83cb6e93fd1baed961719ff886f4.pdf |