Accession Number:

ADA214735

Title:

Error Estimation and Compensation in Reduced Dynamic Models of Large Space Structures

Descriptive Note:

Final rept. Aug 1984-Nov 1985

Corporate Author:

KAMAN AEROSPACE CORP BLOOMFIELD CT

Personal Author(s):

Report Date:

1987-04-23

Pagination or Media Count:

44.0

Abstract:

The errors in linear reduced models of structures, their effects, and means of compensation are discussed. An analysis of natural frequency errors resulting from Guyan reduction shows that errors are reduced as the complementary structure of a reduced model is stiffened. A minimum-ratio criterion is proposed for selecting a best set of retained degrees of freedom. Further improvement of reduced models can be achieved by using analytical model improvement AMI, which accounts for the specific modal parameters in the frequency range of interest. The effectiveness of AMI under various conditions is evaluated. Also investigated is the capability of various reduced models to accurately represent the effects of structural changes. Numerical results of eigensolution and forced response computations confirm that reduced models formulated in accordance with the minimum ratio criterion and improved by AMI are excellent bases for efficient structural design studies. The approach is especially applicable to the design of large space structures because it 1 takes full advantage of Guyan reduction Keywords Large space structure Structural mechanics.

Subject Categories:

  • Mechanics
  • Unmanned Spacecraft

Distribution Statement:

APPROVED FOR PUBLIC RELEASE