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contributor authorYu, Xinyang
contributor authorWu, Teng
date accessioned2026-08-20T10:51:13Z
date available2026-08-20T10:51:13Z
date copyright2026/05/13
date issued2026
identifier otherJENMDT.EMENG-8636.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311353
description abstractAbstractThe strongly nonlinear nature of Navier–Stokes equations governing bluff-body aerodynamics suggests that a significant amount of aerodynamic data is needed to accurately characterize the wind effects on civil structures. Since the aerodynamic data ...
publisherAmerican Society of Civil Engineers
titleKnowledge-Enhanced Autoencoder with Koopman Theory for Dimension Reduction and its Application to Wind Pressure
typeJournal Article
journal volume152
journal issue7
journal titleJournal of Engineering Mechanics
identifier doi10.1061/JENMDT.EMENG-8636
journal fristpage04026030-1
journal lastpage04026030-14
page14
treeJournal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 007
contenttypeFulltext


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