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Wind and Structures Volume 9, Number 2, March 2006 , pages 159-178 DOI: https://doi.org/10.12989/was.2006.9.2.159 |
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Identification of 18 flutter derivatives by covariance driven stochastic subspace method |
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Shambhu Sharan Mishra, Krishen Kumar and Prem Krishna
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| Abstract | ||
| For the slender and flexible cable supported bridges, identification of all the flutter derivatives for the vertical, lateral and torsional motions is essential for its stability investigation. In all, eighteen flutter derivatives may have to be considered, the identification of which using a three degree-of-freedom elastic suspension system has been a challenging task. In this paper, a system identification technique, known as covariance-driven stochastic subspace identification (COV-SSI) technique, has been utilized to extract the flutter derivatives for a typical bridge deck. This method identifies the stochastic state-space model from the covariances of the output-only (stochastic) data. All the eighteen flutter derivatives have been simultaneously extracted from the output response data obtained from wind tunnel test on a 3-DOF elastically suspended bridge deck section-model. Simplicity in model suspension and measurements of only output responses are additional motivating factors for adopting COV-SSI technique. The identified discrete values of flutter derivatives have been approximated by rational functions. rnKeywords: flutter derivative; wind tunnel test; stochastic subspace identification; rational function approximation. | ||
| Key Words | ||
| flutter derivative; wind tunnel test; stochastic subspace identification; rational function approximation. | ||
| Address | ||
| Shambhu Sharan Mishra; Department of Civil Engineering, NERIST, Nirjuli, Arunachal Pradesh 791109, IndiarnKrishen Kumar and Prem Krishna; Department of Civil Engineering, Indian Institute of Technology, Roorkee 247667, India | ||