Paper
19 April 2011 Modal parameter identification of civil engineering structures under operational conditions
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Abstract
This paper deals with the realization of finite dimensional, linear, time-invariant models of structural systems in the state space description from the response (output) of the system. The theory and and underlying principles of two stochastic system identification algorithms are first described. The applications of the algorithms to two civil engineering structures follow the theory. Ambient vibration data collected from a building and a bridge, both are permanently instrumented by accelerometer networks, are used to derive the models. The vibration characteristics, i.e., the frequencies, damping ratios, and associated mode shapes, of the structures are then retrieved from the models. The stochastic system identification algorithms prove to be very effective in identifying the vibration characteristics of the structures.
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Hasan S. Ulusoy and Maria Q. Feng "Modal parameter identification of civil engineering structures under operational conditions", Proc. SPIE 7983, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011, 79832Q (19 April 2011); https://doi.org/10.1117/12.881452
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KEYWORDS
Bridges

Stochastic processes

Matrices

Civil engineering

System identification

Data modeling

Filtering (signal processing)

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