Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest
- DOI
- 10.3390/ma19122511
- Published
- 2026-06-10
- Container
- Materials
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ma19122511,
title = {Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest},
author = {Weidi Su and Yaofei Cheng and Li Wei and Guangda Zhong and Linxiao Zhou and Fei Liu and Kaizhong Xie},
year = {2026},
journal = {Materials},
doi = {10.3390/ma19122511},
url = {https://doi.org/10.3390/ma19122511}
}RIS
TY - JOUR TI - Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest AU - Weidi Su AU - Yaofei Cheng AU - Li Wei AU - Guangda Zhong AU - Linxiao Zhou AU - Fei Liu AU - Kaizhong Xie PY - 2026 JO - Materials DO - 10.3390/ma19122511 UR - https://doi.org/10.3390/ma19122511 ER -
APA
Su, W., Cheng, Y., Wei, L., Zhong, G., Zhou, L., Liu, F., & Xie, K. (2026). Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest. Materials. https://doi.org/10.3390/ma19122511
Source records
- crossref · retrieved 2026-11-04T06:33:10.585Z