Modularized Physics-Driven Dynamic Response Prediction of Long-Span Bridge and Traffic System Subjected to Stochastic Loads Based on Neural Operators

dc.contributor.author	Liu, Yuchen
dc.contributor.author	Chen, Suren
dc.contributor.author	Han, Yan
dc.contributor.author	Xiong, Ziluo
dc.date.accessioned	2026-08-20T21:19:56Z
dc.date.available	2026-08-20T21:19:56Z
dc.date.copyright	2025/08/05
dc.date.issued	2025
dc.identifier.other	JBENF2.BEENG-7551.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314300
dc.description.abstract	Abstract The rapid and reliable prediction of dynamic responses in long-span bridges (LSBs) and traffic systems considering dynamic interactions under stochastic loads is crucial for understanding the operational risk for LSBs (e.g., structural safety ...
dc.publisher	American Society of Civil Engineers
dc.title	Modularized Physics-Driven Dynamic Response Prediction of Long-Span Bridge and Traffic System Subjected to Stochastic Loads Based on Neural Operators
dc.type	Journal Article
dc.journal.volume	30
dc.journal.issue	10
dc.journal.title	Journal of Bridge Engineering
dc.identifier.doi	10.1061/JBENF2.BEENG-7551
dc.journal.fristpage	04025065-1
dc.journal.lastpage	04025065-14
dc.page	14
dc.tree	Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 010
dc.contenttype	Fulltext