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Stochasticity of Wind Processes and Spectral Analysis of Structural Gust Response

  • Wind loads have great impact on many engineering structures. Wind storms often cause irreparable damage to the buildings which are exposed to it. Along with the earthquakes, wind represents one of the most common environmental load on structures and is relevant for limit state design. Modern wind codes indicate calculation procedures allowing engineers to deal with structural systems, which are susceptible to conduct wind-excited oscillations. In the codes approximate formulas for wind buffeting are specified which relate the dynamic problem to rather abstract parameter functions. The complete theory behind is not visible in order to simplify the applicability of the procedures. This chapter derives the underlying basic relations of the spectral method for wind buffeting and explains the main important applications of it in order to elucidate part of the theoretical background of computations after the new codes. The stochasticity of the wind processes is addressed, and the analysis of analytical as well as measurement based power spectra is outlined. Short MATLAB codes are added to the Appendix 3 which carry out the computation of a single sided auto-spectrum from a statistically stationary, discrete stochastic process. Two examples are presented.

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Verfasserangaben:Konstantin Meskouris, Christoph ButenwegORCiD, Klaus-G. Hinzen, Rüdiger Höffer
DOI:https://doi.org/10.1007/978-3-662-57550-5_3
ISBN:978-3-662-57550-5 (Online)
ISBN:978-3-662-57548-2 (Print)
Titel des übergeordneten Werkes (Englisch):Structural Dynamics with Applications in Earthquake and Wind Engineering
Verlag:Springer
Verlagsort:Berlin
Dokumentart:Teil eines Buches (Kapitel)
Sprache:Englisch
Erscheinungsjahr:2019
Datum der Publikation (Server):02.05.2019
Freies Schlagwort / Tag:Gust wind response; Spectral analysis; Wind turbulence
Erste Seite:153
Letzte Seite:196
Link:Online lesen
Zugriffsart:campus
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Energietechnik
collections:Verlag / Springer