| dc.contributor.author | Yu, Xinyang | |
| dc.contributor.author | Wu, Teng | |
| dc.date.accessioned | 2026-08-20T10:51:13Z | |
| dc.date.available | 2026-08-20T10:51:13Z | |
| dc.date.copyright | 2026/05/13 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JENMDT.EMENG-8636.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311353 | |
| dc.description.abstract | AbstractThe 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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Knowledge-Enhanced Autoencoder with Koopman Theory for Dimension Reduction and its Application to Wind Pressure | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 7 | |
| dc.journal.title | Journal of Engineering Mechanics | |
| dc.identifier.doi | 10.1061/JENMDT.EMENG-8636 | |
| dc.journal.fristpage | 04026030-1 | |
| dc.journal.lastpage | 04026030-14 | |
| dc.page | 14 | |
| dc.tree | Journal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 007 | |
| dc.contenttype | Fulltext | |
