A fatigue life estimation algorithm based on Statistical Energy Analysis in high-frequency random processes |
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| Affiliation: | 1. School of Mechanical Engineering, Xi''an Jiaotong University, Xi''an 710049, PR China;2. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi''an Jiaotong University, Xi''an 710049, PR China;1. Deutsches Zentrum für Luft- und Raumfahrt (German Aerospace Center) Institute of Aeroelasticity, Bunsenstr. 10, 37073 Göttingen, Germany;2. Airbus Operations GmbH Department Interior and Near Field Noise, Kreetslag. 10, 21129 Hamburg, Germany;1. Laboratoire de tribologie et dynamique des systèmes, UMR CNRS 5513, École centrale de Lyon, 36, av. Guy de Collongue 69134 Ecully, France;2. Institut FEMTO-ST, UMR CNRS 6174, Département de mécanique appliquée, Université de Franche-Comté, 24 rue de l’Epitaphe, F-25000 Besançon, France |
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| Abstract: | A frequency-domain fatigue life estimation algorithm based on Statistical Energy Analysis (SEA) is proposed in this study for a structure subject to high-frequency loading. The main contribution is to observe that, when evaluated at 1/3-octave bands, the RMS value of the power spectral density (PSD) function is sufficiently refined to produce meaningful fatigue life estimates. A practical application concerning the fatigue life of a plate of aircraft subject to high-frequency random loading is presented to confirm the applicability of the proposed algorithm. |
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| Keywords: | Fatigue life Frequency-domain method Statistical Energy Analysis Stress power spectral density |
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