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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| Main Authors: | , , |
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| Format: | Bài trích |
| Language: | eng |
| Published: |
Engineering with Computers
2021
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| 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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