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contributor authorZhou, Shijie
contributor authorPeng, Hua
contributor authorZheng, Huihuan
contributor authorHe, Xiao
contributor authorMa, Wenhui
date accessioned2026-08-20T21:28:04Z
date available2026-08-20T21:28:04Z
date copyright2026/06/08
date issued2026
identifier otherJCCEE5.CPENG-7244.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314503
description abstractAbstractDuring the excavation of foundation pits, accurately predicting the deformation of existing metro tunnel structures plays a crucial role in ensuring the safe operation of the metro system. In this paper, a novel deep learning method for predicting ...
publisherAmerican Society of Civil Engineers
titleA Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction
typeJournal Article
journal volume40
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7244
journal fristpage04026071-1
journal lastpage04026071-16
page16
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
contenttypeFulltext


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