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Model Validation and Uncertainty Quantification, Volume 3, 2019, p.75-91
2019

Details

Autor(en) / Beteiligte
Titel
Establishing an RMS von Mises Stress Error Bound for Random Vibration Analysis
Ist Teil von
  • Model Validation and Uncertainty Quantification, Volume 3, 2019, p.75-91
Ort / Verlag
Switzerland: Springer International Publishing AG
Erscheinungsjahr
2019
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The root mean square (RMS) von Mises stress is a criterion used for assessing the reliability of structures subject to stationary random loading. This work investigates error in RMS von Mises stress and its relationship to the error in acceleration for random vibration analysis. First, a theoretical development of stress-acceleration error is introduced for a simplified problem based on modal stress analysis. Using results from the example as a basis, a similar error relationship is determined for random vibration problems. Finite element analyses of test structures subject to an input acceleration auto-spectral density are performed and results from parametric studies are used to determine error. For a given error in acceleration, a relationship to the error in RMS von Mises stress is established. The resulting relation is used to calculate a bound on the RMS von Mises stress based on the computed accelerations. This error bound is useful in vibration analysis, especially where uncertainty and variability must be thoroughly considered.
Sprache
Englisch
Identifikatoren
ISBN: 9783030120740, 3030120740
ISSN: 2191-5644
eISSN: 2191-5652
DOI: 10.1007/978-3-030-12075-7_8
Titel-ID: cdi_springer_books_10_1007_978_3_030_12075_7_8

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