Machine learning-based investigation of uplift resistance in special-shaped shield tunnels using numerical finite element modeling
Civil Engineering|更新时间:2026-02-18
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Machine learning-based investigation of uplift resistance in special-shaped shield tunnels using numerical finite element modeling
“In the field of civil engineering, a new study explores the uplift resistance of soil over special-shaped shield tunnels. Researchers combined numerical simulation and machine learning to analyze key parameters affecting stability. The findings suggest that circular tunnel shapes reduce uplift resistance, offering insights for tunnel design and construction.”
Journal of Civil and Environmental EngineeringVol. 48, Issue 1, Pages: 1-13(2026)
作者机构:
1.重庆大学,山地城镇建设与新技术教育部重点实验室,重庆 400045
2.重庆大学,土木工程学院,重庆 400045
3.重庆大学,库区环境地质灾害防治国家地方联合工程研究中心,重庆 400045
4.广州地铁集团有限公司,广州 510010
5.中铁二院重庆勘察设计研究院有限公司,重庆 400023
作者简介:
ZHANG Wengang (1983- ), PhD, professor, main research interest: geotechnical engineering, E-mail: cheungwg@126.com.
SUN Weixin (corresponding author), PhD candidate, E-mail: weixins@cqu.edu.cn.
ZHANG Wengang,YE Wenyu,SUN Weixin,et al.Machine learning-based investigation of uplift resistance in special-shaped shield tunnels using numerical finite element modeling[J].Journal of Civil and Environmental Engineering,2026,48(01):1-13.
ZHANG Wengang,YE Wenyu,SUN Weixin,et al.Machine learning-based investigation of uplift resistance in special-shaped shield tunnels using numerical finite element modeling[J].Journal of Civil and Environmental Engineering,2026,48(01):1-13. DOI: 10.11835/j.issn.2096-6717.2024.024.
Machine learning-based investigation of uplift resistance in special-shaped shield tunnels using numerical finite element modeling