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dc.contributor.authorCheynet, Etienne
dc.contributor.authorDaniotti, Nicolo
dc.contributor.authorJakobsen, Jasna Bogunovic
dc.contributor.authorSnæbjørnsson, Jonas Thor
dc.contributor.authorWang, Jungao
dc.date.accessioned2022-09-27T10:54:44Z
dc.date.available2022-09-27T10:54:44Z
dc.date.created2022-09-23T09:26:43Z
dc.date.issued2022
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/11250/3021724
dc.description.abstractThe paper introduces an algorithm to generate a three-variate four-dimensional wind turbulence field suited for yawed wind dynamic load simulation. At large yaw angles, a relaxation of Taylor’s hypothesis of frozen turbulence becomes relevant as well as the flow phase lag in the along-wind direction, which modulates the real and imaginary parts of the coherence. To capture such a general wind action on a structure, a modified spectral representation method is used where the coherence of turbulence is described as a complex-valued function. The one-point and two-point co-spectra are implemented in the simulation setup using a square-root-free Cholesky decomposition of the spectral matrix. The numerical procedure is illustrated based on turbulence characteristics derived from data collected during storm Aina (2017) on the Norwegian coast by three-dimensional sonic anemometers. During this event, a remarkable 3-hour stationary time series with a mean wind speed of 24 m s−1 at a height of 49 m above ground was recorded. Since no computational grid is needed, the velocity fluctuations with representative spatio-temporal characteristics can be directly simulated on structural elements of slender structures. Such an algorithm may be essential for the design of super-long span bridges in coastal areas.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleUnfrozen Skewed Turbulence for Wind Loading on Structuresen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumber9537en_US
cristin.ispublishedtrue
cristin.qualitycode1
dc.identifier.doi10.3390/app12199537
dc.identifier.cristin2054620
dc.source.journalApplied Sciencesen_US
dc.identifier.citationApplied Sciences. 2022, 12(19), 9537.en_US
dc.source.volume12en_US
dc.source.issue19en_US


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