Gaussian Process Regression Prediction Model for Vortex-Induced Vibration of Suspension Bridges Driven by Real Bridge Monitoring Data

dc.contributor.author	Dan, Danhui
dc.contributor.author	Wang, Chenqi
dc.contributor.author	Shi, Huibin
dc.contributor.author	Ge, Liangfu
dc.date.accessioned	2026-08-20T21:12:18Z
dc.date.available	2026-08-20T21:12:18Z
dc.date.copyright	2025/08/11
dc.date.issued	2025
dc.identifier.other	AJRUA6.RUENG-1652.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314109
dc.description.abstract	AbstractVortex-induced vibration (VIV) is a great threat to the safety of vehicles traveling on large-span bridges, and has a certain impact on the structural safety and durability of bridges. It is very important to predict and warn of VIV events in ...
dc.publisher	American Society of Civil Engineers
dc.title	Gaussian Process Regression Prediction Model for Vortex-Induced Vibration of Suspension Bridges Driven by Real Bridge Monitoring Data
dc.type	Journal Article
dc.journal.volume	11
dc.journal.issue	4
dc.journal.title	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi	10.1061/AJRUA6.RUENG-1652
dc.journal.fristpage	04025068-1
dc.journal.lastpage	04025068-11
dc.page	11
dc.tree	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004
dc.contenttype	Fulltext