Simulation of Stochastic Wind Velocity Field on Long-Span Bridges

Cao, Yinghong; Huang, Xiang; Zhou, Ying

doi:10.1061/(asce)0733-9399(2000)126:1(1)

Cited by 149 publications

(41 citation statements)

References 11 publications

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“…By this analytical solution, the simulation efficiency can be improved greatly by avoiding the repetitive Cholesky decomposition of the cross-spectral matrix in each frequency step. Cao et al [32] gave a high speed simulation method of the wind field by combining this analytical solution and the FFT technique. Li et al [33] also used this analytical solution to simulate the wind velocity fields with a high efficiency.…”

Section: Analytical Solution For Cholesky Decomposition Of Coherency mentioning

confidence: 99%

Simplified method for simulation of ergodic spatially correlated seismic ground motion

Gao

2011

Appl. Math. Mech.-Engl. Ed.

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A simplified method for the simulation of the ergodic spatially correlated seismic ground motion is proposed based on the commonly used original spectral representation method. To represent the correlation in the ground motion, the phase angles are given by explicit terms with a clear physical meaning. By these explicit terms, the computational efficiency can be improved by converting the decomposition of the complex cross-spectral matrix into the decomposition of the real incoherence coefficient matrix. Double-indexing frequencies are introduced to simulate the ergodic seismic ground motion, and the ergodic feature of the improved method is demonstrated theoretically. Subsequently, an explicit solution of the elements of the lower triangular matrix under the Cholesky decomposition is given. With this explicit solution, the improved method is simplified, and the computational efficiency can be improved greatly by avoiding the repetitive Cholesky decomposition of the cross-spectral matrix in each frequency step. Finally, a numerical example shows the good characteristic of the improved method.

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Section: Analytical Solution For Cholesky Decomposition Of Coherency mentioning

confidence: 99%

Simplified method for simulation of ergodic spatially correlated seismic ground motion

Gao

2011

Appl. Math. Mech.-Engl. Ed.

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“…By using the improved Deodatis simulation method (Deodatis, 1996;Cao et al, 2000), the transverse and vertical fl uctuating wind speeds at 19 points on the deck were simulated. The coherence of the fl uctuating wind speed between point j and m was determined based on the Davenport coherence function (Simiu and Scanlan, 1996):…”

Section: Wind Speed Simulation For the Deckmentioning

confidence: 99%

Non-linear buffeting response analysis of long-span suspension bridges with central buckle

Wang

Zhao

et al. 2010

Earthq. Eng. Eng. Vib.

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The rigid central buckle employed in the Runyang Suspension Bridge (RSB) was the fi rst time it was used in a suspension bridge in China. By using a spectral representation method and FFT technique combined with measured data, a 3D fl uctuating wind fi eld considering the tower wind effect is simulated. A novel FE model for buffeting analysis is then presented, in which a specifi c user-defi ned Matrix27 element in ANSYS is employed to simulate the aeroelastic forces and its stiffness or damping matrices are parameterized by wind velocity and vibration frequency. A nonlinear time history analysis is carried out to study the infl uence of the rigid central buckle on the wind-induced buffeting response of a long-span suspension bridge. The results can be used as a reference for wind resistance design of long-span suspension bridges with a rigid central buckle in the future.

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“…Since the bridge deformation induced by mean wind fl ow can easily be determined with the measured aerodynamic coeffi cients from the wind tunnel tests, only turbulent winds perpendicular to the bridge alignment are considered in this paper. A fast spectral representation method proposed by Cao et al (2000) is adopted here for the digital simulation of the stochastic wind velocity fi eld. This method assumes equi-elevations of the bridge deck, equi-intervals of the wind velocity simulation points, and uniform distribution of the mean wind velocity and its spectrum along the bridge deck.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Running safety analysis of a train on the Tsing Ma Bridge under turbulent winds

Guo

Xia

2010

Earthq. Eng. Eng. Vib.

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The dynamic responses of the Tsing Ma suspension bridge and the running behaviors of trains on the bridge under turbulent wind actions are analyzed by a three-dimensional wind-train-bridge interaction model. This model consists of a spatial fi nite element bridge model, a train model composed of eight 4-axle identical coaches of 27 degrees-of-freedom, and a turbulent wind model. The fl uctuating wind forces, including the buffeting forces and the self-excited forces, act on the bridge only, since the train runs inside the bridge deck. The dynamic responses of the bridge are calculated and some results are compared with data measured from Typhoon York. The runnability of the train passing through the Tsing Ma suspension bridge at different speeds is researched under turbulent winds with different wind velocities. Then, the threshold curve of wind velocity for ensuring the running safety of the train in the bridge deck is proposed, from which the allowable train speed at different wind velocities can be determined. The numerical results show that rail traffi c on the Tsing Ma suspension bridge should be closed as the mean wind velocity reaches 30 m/s.

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Simulation of Stochastic Wind Velocity Field on Long-Span Bridges

Cited by 149 publications

References 11 publications

Simplified method for simulation of ergodic spatially correlated seismic ground motion

Simplified method for simulation of ergodic spatially correlated seismic ground motion

Non-linear buffeting response analysis of long-span suspension bridges with central buckle

Running safety analysis of a train on the Tsing Ma Bridge under turbulent winds

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