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dc.contributor.authorFan, Wenliang
dc.contributor.authorLv, Ren
dc.contributor.authorYu, Shujun
dc.contributor.authorJiang, Haoyue
dc.date.accessioned2026-08-20T21:26:19Z
dc.date.available2026-08-20T21:26:19Z
dc.date.copyright2025/12/23
dc.date.issued2026
dc.identifier.otherAJRUA6.RUENG-1766.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314453
dc.description.abstractAbstractThe spatial variability of structural parameters has a significant impact on the stochastic response and reliability analysis of engineering structures. In traditional methods, structural parameters are often simplified into random variables, and ...
dc.publisherAmerican Society of Civil Engineers
dc.titleActive Learning Kriging Integrated Method for Reliability Analysis of One-Dimensional Structures with Spatially Variable Parameters
dc.typeJournal Article
dc.journal.volume12
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.RUENG-1766
dc.journal.fristpage04025109-1
dc.journal.lastpage04025109-13
dc.page13
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
dc.contenttypeFulltext


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