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dc.contributor.authorLi, Junxiang
dc.contributor.authorDong, Zhipeng
dc.contributor.authorZhang, Xinxin
dc.contributor.authorXu, Moran
dc.contributor.authorCao, Longchao
dc.date.accessioned2026-08-20T21:29:50Z
dc.date.available2026-08-20T21:29:50Z
dc.date.copyright2026/02/25
dc.date.issued2026
dc.identifier.otherAJRUA6.RUENG-1807.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314553
dc.description.abstractAbstractGeotechnical parameters are often uncertain due to the spatial variability of geotechnical engineering materials. Additionally, it is difficult to obtain a large number of data because of the time, cost, and site limitations. As a result, it ...
dc.publisherAmerican Society of Civil Engineers
dc.titleProbability Distribution Modeling of Sparse Data for Geotechnical Reliability Analysis
dc.typeJournal Article
dc.journal.volume12
dc.journal.issue2
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.RUENG-1807
dc.journal.fristpage04026014-1
dc.journal.lastpage04026014-13
dc.page13
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
dc.contenttypeFulltext


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