| Author | Search for: Cheung, Catherine1; Search for: Rocha, Bruno1; Search for: Valdés, Julio J.1; Search for: Kotwicz-Herniczek, Mark1; Search for: Stefani, Anton1 |
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| Affiliation | - National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Conference | 70th American Helicopter Society International Annual Forum 2014, May 20-22, 2014, Montreal, Quebec |
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| Subject | artificial intelligence; military helicopters; signal filtering and prediction; computational intelligence techniques; computational model; estimation results; fatigue damage accumulation; flight conditions; linear damage rule; rainflow counting; steady state and transients; fatigue damage |
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| Abstract | Load signal prediction and fatigue damage accumulation estimation results are presented for a wide range of flight conditions from the S-70A-9 Black Hawk flight loads survey performed in 2000. Results from twelve manoeuvres were included in this study, ranging from very specific steady state and transient manoeuvres to more general manoeuvres with varying speed, direction, and aircraft orientations. The load time signal predictions were obtained following a simplified methodology and then the resulting fatigue damage accumulation was calculated for each manoeuvre. These estimates were generated using developed computational models, consisting of a variety of computational intelligence techniques and statistical methods, coupled with online Rainflow counting, the material specific S-N curve, and Palmgren-Miner's linear damage rule |
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| Publication date | 2014-05-22 |
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| Publisher | American Helicopter Society International, Inc. |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21276113 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 2e9b0a4f-b0df-4610-b884-5c56880dd506 |
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| Record created | 2015-09-24 |
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| Record modified | 2020-04-22 |
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