Experimental Modal Analysis and Dynamic Component Synthesis. Volume 4. System Modeling Techniques

Abstract

This report reviews the theoretical basis for the current methods used to predict the system dynamics of a modified structure or of combined structures based upon a previously determined, modal or impedance, model of the structure(s). The methods reviewed were: Modal modeling Technique: Local eigenvalue modification, Coupling of Structures Using Eigenvalue Modification, and Complex Mode Eigenvalue Modification; Sensitivity Analysis; and Impedance Modeling Technique: Building Block Approach, Dynamic Stiffness Method, and Frequency Response Method. The effects of measurement errors, modal parameter estimation error, and truncated modes in the application of modal modeling technique are evaluated. Some of the experimental modal model validation method are also presented. Several methods to normalize the measured complex modes were reviewed including both the time domain and frequency domain techniques. A new component mode synthesis method (Super element Component Dynamic Synthesis) developed by the University of Dayton Research Institute is presented in Section 5 and Appendices. A complete literature search in the area of System Modeling was performed and is listed in the Bibliography.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA195147

Entities

People

  • David L. Brown
  • Mahan L. Soni
  • Randall J. Allemang

Organizations

  • University of Cincinnati

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Differential Equations
  • Eigenvalues
  • Engineering
  • Engineers
  • Equations
  • Finite Element Analysis
  • Frequency Domain
  • Industrial Engineering
  • Measurement
  • Modal Analysis
  • Resonant Frequency
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Microwave Engineering.