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contributor authorXu, Xinyu
contributor authorZhu, Siyu
contributor authorLi, Yongle
date accessioned2026-08-20T21:23:05Z
date available2026-08-20T21:23:05Z
date copyright2025/11/17
date issued2026
identifier otherJCCEE5.CPENG-6297.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314371
description abstractAbstractA hybrid method for random response analysis of a wind–vehicle–bridge (WVB) system is presented. The method employs the gated recurrent unit (GRU) network to predict dynamic responses of the WVB system, enhanced by the integration of the sparrow ...
publisherAmerican Society of Civil Engineers
titleAdaptive Analysis for Random Response of Wind–Vehicle–Bridge System Based on a Hybrid Deep-Learning Method
typeJournal Article
journal volume40
journal issue2
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6297
journal fristpage04025133-1
journal lastpage04025133-11
page11
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
contenttypeFulltext


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