Test study on deflection influence line identification and model modification of cable-stayed bridge

ZHOU Yu1, 2, 3, SHI Yingdi1, 3, DI Shengkui2, FANG Dengjia2, LI Meng1, 3

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (21) : 202-210.

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (21) : 202-210.

Test study on deflection influence line identification and model modification of cable-stayed bridge

  • ZHOU Yu1,2,3, SHI Yingdi1,3, DI Shengkui2, FANG Dengjia2, LI Meng1,3
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Abstract

The finite element model often fails to reflect the real operating condition of the bridge and cannot accurately analyze the overall stress state of the bridge structure. In order to establish a finite element model suitable for high-precision analysis of cable-stayed bridges, a finite element model correction method based on the measured deflection influence line and GA-BP network is proposed. Firstly, to identify the deflection influence line of a single measurement point of a cable-stayed bridge, it is proposed to adopt the empirical variational modal decomposition (E-VMD) to eliminate the dynamic component of vehicular response, and combine with the Tikhonov regularization method to solve the influence line identification equations, to reconstruct the deflection influence line of a real cable-stayed bridge, and to accurately restore the quasi-static deflection influence line of a real cable-stayed bridge, and then to construct a regression prediction method by selecting the correction parameter with the deflection influence line as the target parameter by using the GA-BP network. The modified parameters are selected by GA-BP network to construct the regression prediction method with the deflection influence line as the target parameter; finally, the measured deflection influence line is substituted into the network model to obtain the optimization parameters of the modified finite element model. After calculation and analysis, the relative error at the deflection line of the modified model control section decreased from 57.2% to 14.1%, and the gray correlation coefficient increased to 0.9076, which improved the analysis accuracy of the modified finite element model and made it closer to the real operation state of the bridge.

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ZHOU Yu1, 2, 3, SHI Yingdi1, 3, DI Shengkui2, FANG Dengjia2, LI Meng1, 3. Test study on deflection influence line identification and model modification of cable-stayed bridge[J]. Journal of Vibration and Shock, 2024, 43(21): 202-210

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