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contributor authorAbdi, Ari Surya
contributor authorOu, Chang-Yu
contributor authorChing, Jianye
date accessioned2026-08-20T21:10:42Z
date available2026-08-20T21:10:42Z
date copyright2026/05/07
date issued2026
identifier otherIJGNAI.GMENG-13377.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314071
description abstractAbstract This paper investigates the use of physics-assisted data-driven methods for predicting the performance (such as wall deformation and factor of safety against basal heave) of deep excavation in soft clay. Physics-assisted prediction methods with ...
publisherAmerican Society of Civil Engineers
titlePhysics-Assisted Data-Driven Methods for Predicting the Performance of Deep Excavation in Soft Clays
typeJournal Article
journal volume26
journal issue7
journal titleInternational Journal of Geomechanics
identifier doi10.1061/IJGNAI.GMENG-13377
journal fristpage04026127-1
journal lastpage04026127-17
page17
treeInternational Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 007
contenttypeFulltext


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