Skip to main content

Comparison of Several Methods for Predicting Loads on a Hypothetical Helicopter Rotor

Buy Article:

$22.00 plus tax (Refund Policy)

Several state‐of‐the‐art methods for predicting helicopter rotor loads were used by ten contributors to calculate rotor blade loads including airloads, bending moments, vibratory hub shears, and other parameters for a hypothetical helicopter rotor. Three different advance ratios were treated: μ = 0.1, 0.2, and 0.33. Comparisons of results obtained by the various contributors indicate significant differences for certain parameters and flight conditions. Trim parameters and flapwise bending moments show the smallest variations, while chordwise bending moments, torsional moments, and vibratory shears show moderate to large differences. Torsional moment variations were most sensitive to advance ratio. Analysis of the results indicates that the differences can be attributed to all three fundamental parts of the problem: numerical solution methods, structural dynamics, and aerodynamics.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Ames Directorate, U.S. Army Air Mobility R&D Laboratory, Moffett Field, California 94035

Publication date: 1974-10-01

More about this publication?
  • The Journal of the American Helicopter Society is the world's only scientific journal dedicated to vertical flight technology. It is a peer-reviewed technical journal published quarterly by AHS International and presents innovative papers covering the state-of-the-art in all disciplines of rotorcraft design, research and development. (Please note that AHS members receive significant discounts on articles and subscriptions.)

    Journal subscribers who are AHS members log in here if you are not already logged in.

    Authors can find submission guidelines and related information on the AHS website.

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more