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Dynamic Response of Train-Long Span Cable-stayed Bridge Coupling System Considering Nonstationary Crosswind
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    Abstract:

    In order to study the dynamic response of a non-stationary crosswind on the train-long span cablestayed bridge coupling system,the EMD(Empirical Mode Decomposition)method is used to process the existing measured typhoon data to obtain the time-varying average wind speed of the typhoon. The average wind speed in the wind spectrum is replaced by the time-varying average wind speed,and the non-stationary crosswind fluctuating windspeed is simulated by the weighted amplitude wave superposition method. The finite element software ANSYS and the multi-body dynamics software SIMPACK are used to establish a train-track-cable-stayed bridge coupling analysis model. The non-stationary wind load includes the static wind caused by the time-varying average wind and the buffeting force caused by the non-stationary fluctuating wind. The dynamic response of the coupled system of wind-train-long-span cable-stayed bridge is calculated,and the acceleration responses of the train and cablestayed bridge under the action of stationary wind and non-stationary wind as well as the safety and comfort indexes of the train on the bridge are compared and analyzed. The results show that compared with the stationary wind,the maximum lateral and vertical acceleration of the train are increased by 12 % and 23 % under the action of nonstationary wind,respectively,and the maximum lateral and vertical acceleration of the bridge are increased by 16 % and 7 %,respectively. The wheel load reduction rate,wheel-rail lateral force and derailment coefficient of the train increase by 9 %,14 % and 4 %,respectively. The lateral Sperling index of the train increases to a certain extent, thus reducing the safety and comfort of driving on the bridge. The spectrum shows that in the low frequency region, the vertical vibration,transverse vibration of the train and the transverse vibration of the bridge are more intense un? der the action of non-stationary wind.

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  • Online: June 06,2022
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