A Predictive and Analytical Framework for Ultra-high Performance Concrete Properties Using Machine Learning and SHAP Modeling

HE Yin-zhang, SU Hao-ran, HAO Ning-yuan, LI Yan, ZHANG Jiu-peng, PEI Jian-zhong

China Journal of Highway and Transport ›› 2026, Vol. 39 ›› Issue (4) : 261-282.

PDF Full Text Download(4408 KB)
PDF Full Text Download(4408 KB)
China Journal of Highway and Transport ›› 2026, Vol. 39 ›› Issue (4) : 261-282. DOI: 10.19721/j.cnki.1001-7372.2026.04.018
Bridge Engineering

A Predictive and Analytical Framework for Ultra-high Performance Concrete Properties Using Machine Learning and SHAP Modeling

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 39(4): 261-282 https://doi.org/10.19721/j.cnki.1001-7372.2026.04.018

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF Full Text Download(4408 KB)

Accesses

Citation

Detail
Sections
Recommended
Web Copyright © China Journal of Highway and Transport, All Rights Reserved.
Address: Chang'an University, Southern Middle Section of the Second Circle Road, Xi'an, P.R.China Zip Code: 710064
Tel: 029-82334387　
E-mail：zgglxb@163.com；zgglxb@qq.com
Powered by Beijing Magtech Co. Ltd,.

/

〈 〉