Data-driven stochastic subspace identification of flutter derivatives of bridge decks

2010 ◽  
Vol 98 (12) ◽  
pp. 784-799 ◽  
Author(s):  
Virote Boonyapinyo ◽  
Tharach Janesupasaeree
Keyword(s):  
Bridge Decks ◽  
Data Driven ◽  
Subspace Identification ◽  
Stochastic Subspace Identification ◽  
Derivatives Of ◽  
Flutter Derivatives

DETERMINATION OF FLUTTER DERIVATIVES OF BRIDGE DECKS BY COVARIANCE-DRIVEN STOCHASTIC SUBSPACE IDENTIFICATION

2011 ◽  
Vol 11 (01) ◽  
pp. 73-99 ◽  
Author(s):  
THARACH JANESUPASAEREE ◽  
VIROTE BOONYAPINYO
Keyword(s):  
Wind Tunnel ◽  
Thin Plate ◽  
Bridge Deck ◽  
Bridge Decks ◽  
Subspace Identification ◽  
Plate Model ◽  
Wind Tunnel Tests ◽  
Stochastic Subspace Identification ◽  
Derivatives Of ◽  
Flutter Derivatives

In this paper, the covariance-driven stochastic subspace identification technique (SSI-COV) was presented to extract the flutter derivatives of bridge decks from the buffeting test results. An advantage of this method is that it considers the buffeting forces and responses as inputs rather than as noises. Numerical simulations and wind tunnel tests of a streamlined thin plate model conducted under smooth flows by the free decay and the buffeting tests were used to validate the applicability of the SSI-COV method. Then, the wind tunnel tests of a two-edge girder blunt type of industrial-ring-road (IRR) bridge deck were conducted under smooth and turbulence flows. The flutter derivatives of the thin plate model identified by the SSI-COV technique agree well with those obtained theoretically. The results obtained for the thin plate and the IRR bridge deck are used to validate the reliability and applicability of the SSI-COV technique to various wind tunnel tests and conditions of wind flows. The results also show that for the blunt-type IRR bridge deck, the turbulence wind will delay the onset of flutter, compared with the smooth wind.

Effect of rain on flutter derivatives of bridge decks

2008 ◽  
Vol 11 (3) ◽  
pp. 209-220 ◽  
Author(s):  
Ming Gu ◽  
Shu-Zhuang Xu
Keyword(s):  
Bridge Decks ◽  
Derivatives Of ◽  
Flutter Derivatives

Extraction of modal parameters for identification of time-varying systems using data-driven stochastic subspace identification

2017 ◽  
Vol 24 (20) ◽  
pp. 4781-4796 ◽  
Author(s):  
Wenchao Li ◽  
Viet-Hung Vu ◽  
Zhaoheng Liu ◽  
Marc Thomas ◽  
Bruce Hazel
Keyword(s):  
Data Driven ◽  
Modal Parameters ◽  
Subspace Identification ◽  
Time Varying ◽  
Lumped Mass ◽  
State Matrix ◽  
Mass System ◽  
Stochastic Subspace Identification ◽  
Time Varying Systems ◽  
Using Data

This paper presents a method for the extraction of modal parameters for identification of time-varying systems using Data-Driven Stochastic Subspace Identification (SSI-DATA). In practical applications of SSI-DATA, both the modal parameters and computational ones are mixed together in the identified results. In order to differentiate the structural ones from computational ones, a new method based on the eigen-decomposition of the state matrix constructed in SSI-DATA is proposed. The efficiency of the proposed method is demonstrated through numerical simulation of a lumped-mass system and experimental test of a moving robot for extracting excited natural frequencies of the system.

Identification of lateral flutter derivatives of bridge decks

1996 ◽  
Vol 60 ◽  
pp. 81-89 ◽  
Author(s):  
L. Singh ◽  
N.P. Jones ◽  
R.H. Scanlan ◽  
O. Lorendeaux
Keyword(s):  
Bridge Decks ◽  
Derivatives Of ◽  
Flutter Derivatives

Parametric study on flutter derivatives of bridge decks

2001 ◽  
Vol 23 (12) ◽  
pp. 1607-1613 ◽  
Author(s):  
Ming Gu ◽  
Ruoxue Zhang ◽  
Haifan Xiang
Keyword(s):  
Parametric Study ◽  
Bridge Decks ◽  
Derivatives Of ◽  
Flutter Derivatives
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