Direct identification of flutter derivatives and aerodynamic admittances of bridge decks

Gu, Ming; Qin, Xianrong

doi:10.1016/j.engstruct.2004.07.015

Cited by 56 publications

(31 citation statements)

References 14 publications

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“…These research results have been adopted into the related China Codes [23,56]. Gu and Qin [57] and Qin and Gu [58] were the first researchers to introduce stochastic sub-space identification method into identification of aerodynamic parameters including aerodynamic stiffness and damping of long-span bridges, obtaining satisfying results. Compared with random decrement method, the stochastic sub-space identification method has more merits than RDT and MRDT and can overcome their main shortcomings i.e., weak noise-resistantce ability and need for large experimental data.…”

Section: Across-wind Aerodynamic Dampingmentioning

confidence: 99%

Across-wind loads and effects of super-tall buildings and structures

Quan

2011

Sci. China Technol. Sci.

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Across-wind loads and effects have become increasingly important factors in the structural design of super-tall buildings and structures with increasing height. Across-wind loads and effects of tall buildings and structures are believed to be excited by inflow turbulence, wake, and inflow-structure interaction, which are very complicated. Although researchers have been focusing on the problem for over 30 years, the database of across-wind loads and effects and the computation methods of equivalent static wind loads have not yet been developed, most countries having no related rules in the load codes. Research results on the across-wind effects of tall buildings and structures mainly involve the determination of across-wind aerodynamic forces and across-wind aerodynamic damping, development of their databases, theoretical methods of equivalent static wind loads, and so on. In this paper we first review the current research on across-wind loads and effects of super-tall buildings and structures both at home and abroad. Then we present the results of our study. Finally, we illustrate a case study in which our research results are applied to a typical super-tall structure.super-tall building and structure, across-wind aerodynamic force, across-wind aerodynamic damping, across-wind effects, across-wind quivalent static wind loads, case study Citation:Gu M, Quan Y. Across-wind loads and effects of super-tall buildings and structures.

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Section: Across-wind Aerodynamic Dampingmentioning

confidence: 99%

Across-wind loads and effects of super-tall buildings and structures

Quan

2011

Sci. China Technol. Sci.

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“…For example, Gu et al [8,9] ameliorated Sarker's theory so that it is possible for the derivatives' overall resolution in 2000. For the random process of turbulent excitations, Gu and Qin [10] stated a method called stochastic subspace algorithm. The related researches [11,12] show that the influence of turbulent flow is less dangerous than the smooth flow since the smooth form usually leads to a sudden structural collapse and the turbulent form can be approximated as a random disturbance, which is not relevant to the parameters of bridge structures.…”

Section: Introductionmentioning

confidence: 99%

Self-contained eigenvector algorithm applied to the identification of aerodynamic derivatives of bridge model

Zhang

Chen

Song

2011

Sci. China Technol. Sci.

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On one hand, when the bridge stays in a windy environment, the aerodynamic power would reduce it to act as a non-classic system. Consequently, the transposition of the system's right eigenmatrix will not equal its left eigenmatrix any longer. On the other hand, eigenmatrix plays an important role in model identification, which is the basis of the identification of aerodynamic derivatives. In this study, we follow Scanlan's simple bridge model and utilize the information provided by the left and right eigenmatrixes to structure a self-contained eigenvector algorithm in the frequency domain. For the purpose of fitting more accurate transfer function, the study adopts the combined sine-wave stimulation method in the numerical simulation. And from the simulation results, we can conclude that the derivatives identified by the self-contained eigenvector algorithm are more dependable.bridge model, aerodynamic derivatives, eigenvector, modal analysis, parameter identification Citation:Zhang X X, Chen L F, Song H W. Self-contained eigenvector algorithm applied to the identification of aerodynamic derivatives of bridge model. Sci

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“…If the solution is searched in the form of (5), (4) yields (6). In (6) the L matrix can be written by using the Starossek notation [2], see equations (7) and (8). Finally the (8) linear eigenvalue problem is to be solved (U red = U/(B · f ), reduced velocity).…”

Section: Calculation Of the Critical Wind Velocitymentioning

confidence: 99%

“…Nowadays, with a strong computational background, CFD (Computational Fluid Dynamics) simulations appear to be powerful rivals of the wind tunnel tests [2,4,6,8]. Recently a number of numerical simulations have been made in order to assess the aeroelastic behaviour of bridge structures.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the flutter performance of different generic bridge cross sections

Szabó¹,

Györgyi²

2011

Per. Pol. Civil Eng.

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This paper presents the results of numerical simulation of the flutter performance of different generic bridge cross sections. The bridge flutter assessment has become a major concern in bridge design practice. In the early ages, wind tunnel tests were made in order to assess the aerodynamic performance of bridges. In this paper the flutter performance of different bridge deck sections was investigated by using numerical flow simulation. The detailed comparison of the aerodynamic behaviour of the different cross sections in terms of flutter instability gives the engineers good means to design of bridge structures. KeywordsBridge deck flutter · aeroelasticity · critical wind speed Acknowledgement The authors are grateful for the support

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Direct identification of flutter derivatives and aerodynamic admittances of bridge decks

Cited by 56 publications

References 14 publications

Across-wind loads and effects of super-tall buildings and structures

Across-wind loads and effects of super-tall buildings and structures

Self-contained eigenvector algorithm applied to the identification of aerodynamic derivatives of bridge model

Numerical simulation of the flutter performance of different generic bridge cross sections

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