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dc.contributor.authorChoi, Byeongseong
dc.contributor.authorSong, Junho
dc.date.accessioned2026-08-20T21:11:53Z
dc.date.available2026-08-20T21:11:53Z
dc.date.copyright2025/10/24
dc.date.issued2026
dc.identifier.otherAJRUA6.RUENG-1651.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314098
dc.description.abstractAbstractSpatially distributed infrastructure systems are crucial assets of a community, and thus assessing their risk under seismic hazards is essential. These assessments should be system-wide, regional, and probabilistic to provide comprehensive ...Practical ApplicationsThis study introduces a sampling-based approach to improve the computational efficiency of seismic risk and loss assessment at both the network and regional scales. We propose a cross-entropy-based concurrent adaptive importance ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCross-Entropy-Based Adaptive Concurrent Importance Sampling for Probabilistic Seismic Loss Analysis of Spatially Distributed Multistate Systems
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-1651
dc.journal.fristpage04025088-1
dc.journal.lastpage04025088-17
dc.page17
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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