dc.contributor.author | Cheynet, Etienne | |
dc.contributor.author | Daniotti, Nicolo | |
dc.contributor.author | Jakobsen, Jasna Bogunovic | |
dc.contributor.author | Snæbjørnsson, Jonas Thor | |
dc.contributor.author | Wang, Jungao | |
dc.date.accessioned | 2022-09-27T10:54:44Z | |
dc.date.available | 2022-09-27T10:54:44Z | |
dc.date.created | 2022-09-23T09:26:43Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | https://hdl.handle.net/11250/3021724 | |
dc.description.abstract | The 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.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Unfrozen Skewed Turbulence for Wind Loading on Structures | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
dc.source.articlenumber | 9537 | en_US |
cristin.ispublished | true | |
cristin.qualitycode | 1 | |
dc.identifier.doi | 10.3390/app12199537 | |
dc.identifier.cristin | 2054620 | |
dc.source.journal | Applied Sciences | en_US |
dc.identifier.citation | Applied Sciences. 2022, 12(19), 9537. | en_US |
dc.source.volume | 12 | en_US |
dc.source.issue | 19 | en_US |