Theory of Structural Dynamic Testing Using Impedance Techniques. Volume I. Theoretical Development

Abstract

It is shown that the mass, stiffness and damping parameters in Lagrange's equations of motion of an n-degree-of-freedom damped linear elastic structure can be determined directly from impedance-type test data without prior assumption of an intuitive mathematical model. The damping is assumed to be such that the model vectors are orthogonal with respect to damping. A method is derived for determination of the exact modal eigenvector of the dominant mode at any forcing frequency by iteration on the damped impedance measurements in matrix form. A similar eigenvalue equation yields the vector in the inverse transpose of the modal matrix; this vector called the gamma vector, is identified with the dominant mode. The generalized masses, stiffnesses and damping terms are related to the mass, stiffness and damping matrices of the equations of motion through products of the gamma vectors. Using the gamma vectors, obtained by iteration on test data, the natural frequencies and other modal parameters are determined. Natural frequencies which are not visible in response plots may be determined by this method. Computer experiments were conducted to test the sensitivity of the theory to errors in input data.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1970
Accession Number
AD0874509

Entities

People

  • Alex Berman
  • Roger M. Barnsby
  • William G. Flannelly

Organizations

  • Kaman Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Army Aviation
  • Computational Science
  • Computer Programs
  • Computers
  • Contracts
  • Differential Equations
  • Dynamic Response
  • Dynamic Tests
  • Dynamics
  • Engineering
  • Equations Of Motion
  • Mathematical Models
  • Measurement
  • Resonant Frequency
  • Standards

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Linear Algebra
  • Structural Dynamics.