Identification of flutter derivatives of bridge decks using stochastic search technique

2006 ◽  
Vol 9 (6) ◽  
pp. 441-455 ◽  
Author(s):  
Ai-Rong Chen ◽  
Fu-You Xu ◽  
Ru-Jin Ma
Keyword(s):  
Bridge Decks ◽  
Stochastic Search ◽  
Search Technique ◽  
Derivatives Of ◽  
Stochastic Search Technique ◽  
Flutter Derivatives

scholarly journals Stochastic Search Technique with Variable Deterministic Constraints for the Estimation of Induction Motor Parameters

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 273
Author(s):  
Carmenza Moreno Roa ◽  
Adolfo Andrés Jaramillo Matta ◽  
Juan David Bastidas Rodríguez
Keyword(s):  
Experimental Data ◽  
Induction Motor ◽  
Stochastic Search ◽  
The Other ◽  
Objective Functions ◽  
Search Technique ◽  
Single Cage ◽  
New Strategy ◽  
A New Technique ◽  
Stochastic Search Technique

This paper deals with the implementation of a new technique of stochastic search to find the best set of parameters in a mathematical model, applied to the single cage (SC) model of the induction motor (IM). The technique includes a new strategy to generate variable constraints of the domain, seven error functions, weight for the operating zones of the IM, and multi-objective functions. The results are validated with experimental data of the torque and current in an IM, and show better fitting to the experimental curves compared with the results of two different techniques, one deterministic and the other one stochastic. The results obtained allow us to conclude that the best set of parameters for the model depends on the weights assigned to the objective functions and to the operating zones.

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

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

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.

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