Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118743
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorYan, T-
dc.creatorQin, J-
dc.creatorZhang, M-
dc.creatorJiang, F-
dc.creatorZhang, J-
dc.creatorLi, Y-
dc.date.accessioned2026-05-15T09:14:08Z-
dc.date.available2026-05-15T09:14:08Z-
dc.identifier.issn0167-6105-
dc.identifier.urihttp://hdl.handle.net/10397/118743-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectField measurementsen_US
dc.subjectJoint probability modelen_US
dc.subjectMean wind characteristicsen_US
dc.subjectMountain terrainen_US
dc.subjectPeriodic thermally-developed windsen_US
dc.subjectWind profileen_US
dc.titleField measurement analysis of wind profiles in mountainous terrain : focusing on periodic thermally-developed windsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume262-
dc.identifier.doi10.1016/j.jweia.2025.106108-
dcterms.abstractPeriodic thermally-developed wind, generated by local thermal gradients, is one of the most frequent wind phenomena in mountainous terrains. Studying its wind profile is crucial for characterizing local wind fields. This study utilizes wind radars and automatic weather stations to conduct long-term measurements of wind characteristics at different heights onsite of a long-span bridge located in a deep-cut canyon and employs the correlation between the recorded wind speed and temperature to identify periodic thermally-developed wind events. Based on the identification result, the wind profiles of the periodic thermally-developed wind events are analyzed for their temporal and spatial characteristics and are systematically categorized into four stages. By extracting and analyzing the high wind speed profiles recorded in the mountainous terrains, it is revealed that the recorded wind profile differs significantly from traditional wind profiles in plain and coastal terrains. As a result, a new normalization wind speed profile model suitable for mountainous terrain is proposed using a wind speed threshold sliding sampling method, and a combined wind parameters profile model is constructed combined with the Copula and Inverse First-Order Reliability Method.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationJournal of wind engineering and industrial aerodynamics, July 2025, v. 262, 106108-
dcterms.isPartOfJournal of wind engineering and industrial aerodynamics-
dcterms.issued2025-07-
dc.identifier.scopus2-s2.0-105002158386-
dc.identifier.eissn1872-8197-
dc.identifier.artn106108-
dc.description.validate202605 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001648/2026-03en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work conducted for this paper was supported by the National Natural Science Foundation of China (No.52278533), Natural Science Foundation of Sichuan Province (Nos. 2023NSFSC1961 and 2022NSFSC0004), Chongqing Science Fund for Distinguished Young Scholars (Nos. CSTB2022NSCQ-JQX0020), Chongqing Technological Innovation and Application Development Project (Nos. CSTB2022TIAD-KPX0144 and CSTC2024YCJH-BGZXM0168).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-07-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2027-07-31
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.