Abstract
Flow induced noise and vibration produces cyclic loading on structures such as wind turbines and vehicle control surfaces. This cyclic loading can often produce fatigue damage in these structures. Since the flow excitation is often random in nature, infrequent large amplitude loads are expected to occur in these applications. These large outlier loads ultimately decrease the fatigue performance of these structures. The goal of this work is to develop improved methodologies for predicting and modeling these rare events in order to establish relevant design loads. To accomplish this, the Generalized Extreme Value (GEV) model is applied to flow-induced vibration response maxima, extracted using Block Maxima methodology. The model is then compared to the Ordered Empirical Distribution (OED) to confirm model accuracy to the original data. Vibration response measurements are repeated and compared to GEV model to evaluate if extreme events were predictable.
Original language | English (US) |
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State | Published - 2018 |
Event | 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 - Chicago, United States Duration: Aug 26 2018 → Aug 29 2018 |
Other
Other | 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 |
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Country/Territory | United States |
City | Chicago |
Period | 8/26/18 → 8/29/18 |
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics