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 Keywords
- Structural dynamics
Date of Defense 1988-12-05 Availability restricted AbstractProper 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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