Paper
2 June 1999 Damping matrix identification and experimental verification
Deborah F. Pilkey, Gyuhae Park, Daniel J. Inman
Author Affiliations +
Abstract
The objective of this work is to find a robust, practical procedure to identify damping matrices for structures well modeled by linear viscous damping. The process of modeling damping matrices and experimental verification of those is challenging because damping can not be determined via static tests as can mass and stiffness. Furthermore, damping is more difficult to determine from dynamic measurements than natural frequency. Aspects of the damping identification procedure that are investigated include noise, spatial incompleteness and modal incompleteness. The procedures for damping identification presented herein are based on prior knowledge of the finite element or analytical mass matrices and measured eigendata. Alternately, a procedure is based on knowledge of the mass and stiffness matrices and the eigendata. Several examples, including experimental examples, are used to illustrate the use of these new damping matrix identification algorithms and to explore their robustness. First, an analytically modeled plate example is used for illustration. Our next example is an experimental work on a bolted beam with various boundary conditions. The effects of changes in torque on damping matrices are investigated using this new damping identification algorithm. Changes in damping matrices are analytically obtained, as the applied torque is varied.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deborah F. Pilkey, Gyuhae Park, and Daniel J. Inman "Damping matrix identification and experimental verification", Proc. SPIE 3672, Smart Structures and Materials 1999: Passive Damping and Isolation, (2 June 1999); https://doi.org/10.1117/12.349797
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Cited by 21 scholarly publications.
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KEYWORDS
Matrices

Finite element methods

Data modeling

Direct methods

Iterative methods

Mathematical modeling

Motion models

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