Characterizing non-Gaussian vibration loading using the trispectrum

  • This paper addresses the use of higher-order spectra to study the non-Gaussian nature of random vibration loading. Since the power spectral density is only a full description for stationary Gaussian processes, specifying non-Gaussian random vibration loading requires a sophisticated statistical description. In recent research higher-order statistical moments such as skewness and kurtosis have been used to de_ne non-Gaussian properties of vibration loading. However, useful information contained in the spectral representation of these moments is neglected. This paper introduces the trispectrum as a tool for analyzing vibration loading. It is the spectral representation of the fourth-order moment and thus extends the information content of the kurtosis. For demonstration several common methods for generating non-Gaussian loading are reviewed and used to derive loads that reproduce the power spectral density and kurtosis of a real in-service loading. These loads are analyzed using Fatigue Damage Spectra and trispectra to relate structural response behavior to their non-Gaussian nature. The results suggest that the trispectrum is a valuable tool for analyzing and classifying non-Gaussian random loading.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Arvid TrappORCiD, Peter WolfsteinerORCiD
URN:urn:nbn:de:bvb:m347-opus-2355
DOI:https://doi.org/10.1088/1742-6596/1264/1/012040
Parent Title (English):Journal of Physics: Conference Series
Publisher:IOP Publishing
Document Type:Article
Language:English
Date of Publication (online):2022/01/11
Year of first Publication:2019
Publishing Institution:Hochschule für angewandte Wissenschaften München
Contributing Corporation:Thirteenth International Conference on Recent Advances in Structural Dynamics (RASD) 15–17 April 2019, Valpre, Lyon, France
Release Date:2022/01/11
Article Number:012040
Page Number:12
Note:
Sonderdruck aus: Journal of Physics: Conference Series, Volume 1264 (2019)
Departments and Institutes:Fakultäten der Hochschule München / FK 03 Fakultät für Maschinenbau, Fahrzeugtechnik, Flugzeugtechnik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik
Illustrations:grafische Darstellung/en
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Einverstanden
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.