Title page for ETD etd-08012012-040354

Type of Document Master's Thesis
Author Stiles, Peter A.
URN etd-08012012-040354
Title Improvement of structural dynamic models via system identification
Degree Master of Science
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Kosmatka, John B. Committee Chair
Fries, Robert H. Committee Member
Raftka, Ralphael T. Committee Member
Reinholtz, Charles F. Committee Member
  • Structural dynamics
Date of Defense 1988-12-05
Availability restricted
Proper mathematical models of structures are beneficial for designers and

analysts. The accuracy of the results is essential. Therefore, verification and/or

correction of the models is vital. This can be done by utilizing experimental results

or other analytical solutions. There are different methods of generating the accurate

mathematical models. These methods range from completely analytically derived

models, completely experimentally derived models, to a combination of the two.

These model generation procedures are called System Identification. Today a

popular method is to create an analytical model as accurately as possible and then

improve this model using experimental results.

This thesis provides a review of System Identification methods as applied to

vibrating structures. One simple method and three more complex methods, chosen

from current engineering literature, are implemented on the computer. These

methods offer the capability to correct a discrete (for example, finite element based)

model through the use of experimental measurements. The validity of the methods

is checked on a two degree of freedom problem, an eight degree of freedom example

frequently used in the literature, and with experimentally derived vibration results of

a free-free beam.

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