Assessing Conditioning States of EPB Shield Muck Using Machine Learning–Assisted Calculation Approach for Apparent Density

dc.contributor.author	Wang, Shuying
dc.contributor.author	Feng, Zhiyao
dc.contributor.author	Zhan, Yongjie
dc.contributor.author	Qu, Tongming
dc.date.accessioned	2026-08-20T10:57:52Z
dc.date.available	2026-08-20T10:57:52Z
dc.date.copyright	2025/08/08
dc.date.issued	2025
dc.identifier.other	IJGNAI.GMENG-10750.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311504
dc.description.abstract	Abstract Soil conditioning plays a vital role as an auxiliary technology for Earth Pressure Balance (EPB) shield tunneling. However, it remains a challenging task to evaluate whether the conditioned soils during tunneling are desired or not. This study ...
dc.publisher	American Society of Civil Engineers
dc.title	Assessing Conditioning States of EPB Shield Muck Using Machine Learning–Assisted Calculation Approach for Apparent Density
dc.type	Journal Article
dc.journal.volume	25
dc.journal.issue	10
dc.journal.title	International Journal of Geomechanics
dc.identifier.doi	10.1061/IJGNAI.GMENG-10750
dc.journal.fristpage	04025223-1
dc.journal.lastpage	04025223-11
dc.page	11
dc.tree	International Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 010
dc.contenttype	Fulltext