Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques

This work aims to develop a novel and practical equation for predicting the axial load of rectangular concrete-filled steel tubular (CFST) columns based on soft computing techniques. More precisely, a dataset containing 880 experimental tests was first collected from the available literature for the...

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Bibliographic Details
Main Authors: Tien-Thinh Le, Panagiotis G. Asteris, Minas E. Lemonis
Format: Bài trích
Language:eng
Published: Engineering with Computers 2021
Subjects:
Online Access:https://link.springer.com/article/10.1007%2Fs00366-021-01461-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2838
https://doi.org/10.1007/s00366-021-01461-0
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