Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116174
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorZhang, M-
dc.creatorLong, J-
dc.creatorQin, J-
dc.creatorZhang, J-
dc.creatorJiang, X-
dc.creatorLi, Y-
dc.date.accessioned2025-11-25T03:57:42Z-
dc.date.available2025-11-25T03:57:42Z-
dc.identifier.issn1436-3240-
dc.identifier.urihttp://hdl.handle.net/10397/116174-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2025en_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Zhang, M., Long, J., Qin, J. et al. Study on the joint distribution of air temperature, solar radiation, and wind speed in the complex mountainous bridge sites based on field measurement. Stoch Environ Res Risk Assess (2025) is available at https://doi.org/10.1007/s00477-025-03114-w.en_US
dc.subjectCopula functionsen_US
dc.subjectField measurementsen_US
dc.subjectJoint valuesen_US
dc.subjectReduction coefficienten_US
dc.subjectReturn periodsen_US
dc.subjectTemperature action valuesen_US
dc.titleStudy on the joint distribution of air temperature, solar radiation, and wind speed in the complex mountainous bridge sites based on field measurementen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/s00477-025-03114-w-
dcterms.abstractIn complex mountainous areas with high mountains and deep valleys, bridge sites are prone to strong winds, solar exposure, abrupt air temperature changes, and other extreme natural conditions, leading to more severe and complex environmental loads on bridge structures compared to plain areas. Current design specifications do not consider solar radiation when calculating uniform temperature, and the simple superposition of extreme air temperature and wind effects leads to an overestimation of combined loads since their extreme values rarely occur simultaneously. Therefore, a comprehensive study on the joint distribution of air temperature, solar radiation, and wind in complex mountainous areas is necessary. This study uses environmental parameter data from field measurements in complex mountainous bridge sites to establish joint distribution models of air temperature, solar radiation, and wind speed based on the Copula functions. The joint distribution models are used to calculate the joint values of air temperature, solar radiation, and wind speed actions under the different return periods, which are subsequently converted to extreme temperature action values for bridge structures. A reduction coefficient of temperature action is proposed to reflect the differences in temperature action values between univariate and multivariable return periods. This research offers a practical reference for determining temperature design loads for long-span bridges in complex mountainous areas.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationStochastic environmental research and risk assessment, Published: 17 October 2025, Online first articles, https://doi.org/10.1007/s00477-025-03114-w-
dcterms.isPartOfStochastic environmental research and risk assessment-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105019063958-
dc.identifier.eissn1436-3259-
dc.description.validate202511 bcch-
dc.description.oaRecord of Versionen_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe support from the National Natural Science Foundation of China (No.52278533); Natural Science Foundation of Sichuan Province (No.2023NSFSC1961).en_US
dc.description.pubStatusEarly releaseen_US
dc.description.TASpringer Nature (2025)en_US
dc.description.oaCategoryTAen_US
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