Expanded fatigue damage and load time signal estimation for dynamic helicopter components using computational intelligence techniques

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TypeArticle
Proceedings titleForum 70: American Helicopter Association
Series titleAnnual Forum Proceedings: AHS International
Conference70th American Helicopter Society International Annual Forum 2014, May 20-22, 2014, Montreal, Quebec
ISSN1552-2938
ISBN978-163266691-8
Volume4
Pages26562665; # of pages: 10
Subjectartificial 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
AbstractLoad 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
Publication date
PublisherAmerican Helicopter Society International, Inc.
LanguageEnglish
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
NPARC number21276113
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Record identifier2e9b0a4f-b0df-4610-b884-5c56880dd506
Record created2015-09-24
Record modified2017-04-12
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