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contributor authorZhang, Sheng
contributor authorDing, Li
contributor authorYang, Rui
contributor authorZhang, Feng
contributor authorTong, Chen-Xi
date accessioned2026-08-20T11:59:14Z
date available2026-08-20T11:59:14Z
date copyright2025/11/26
date issued2026
identifier otherIJGNAI.GMENG-11760.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312937
description abstractAbstract Slope reliability analysis has always been a research focus for geotechnical engineers. Currently, most studies use stationary random fields to simulate the spatial variability of soil parameters. However, many field test data show that soil ...
publisherAmerican Society of Civil Engineers
titleSlope Reliability Analysis Using a Convolutional Neural Networks Surrogate Model with Emphasis on the Nonstationary Spatial Variability of Soil Properties
typeJournal Article
journal volume26
journal issue2
journal titleInternational Journal of Geomechanics
identifier doi10.1061/IJGNAI.GMENG-11760
journal fristpage04025338-1
journal lastpage04025338-14
page14
treeInternational Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 002
contenttypeFulltext


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