XU Kang,WANG Tao,LIU Bo,et al.Fast Prediction of Overturning Risk of Single‑pilar Pier Curved Girder Bridge under the Action of Customized Transport Vehicle[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(03):474-483.
XU Kang,WANG Tao,LIU Bo,et al.Fast Prediction of Overturning Risk of Single‑pilar Pier Curved Girder Bridge under the Action of Customized Transport Vehicle[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(03):474-483.DOI:
Fast Prediction of Overturning Risk of Single‑pilar Pier Curved Girder Bridge under the Action of Customized Transport Vehicle
In order to expedite the prediction of overturning risk for single-pillar pier curved girder bridges subjected to custom transport vehicle loads, several modifications and advancements have been made in the calculation approach. Initially, we improved a simplified calculation method, drawing on rigid body rotation theory, and introduced a vehicle turning model to account for wheel tracks, thereby achieving accurate and rapid loading of vehicle load. We defined the stability factor η and proposed the centroid loading method to determine the overturning axis.In conjunction with the deformation theory, we presented the end-point migration method to adjust the position of the overturning axis. Rapid evaluation of bridge overturning risk was performed using the threshold method, and the threshold value [
k
c
] was identified by analyzing the overturning process of numerous bridges via established ABAQUS solid models.This facilitated the construction of an overturning risk prediction process for single-pillar pier curved girder bridges. Our results indicated that in a steady state, the centroid path of a custom transport vehicle navigating a curved bridge is an arc. Furthermore, adjusting the position of the overturning axis accounts for the reduction in the stability effect caused by the main beam's deformation capacity. Compared to the original simplified method, the improved method's calculated anti-overturning stability capacity kc provides a more robust characterization of bridge overturning risk. Notably, the kc threshold can be 1.10.Finally, utilizing the MATLAB programming language, we developed a program for rapidly predicting the overturning risk of curved bridges. By inputting the information for batches of single-pillar pier curved girder bridges along the routes intended for custom transport vehicles, the bridges' anti-overturning stability capability kc can be calculated. By comparing kc with the threshold value, we can predict which bridges carry an overturning risk, enabling rapid prediction of overturning risk for single-pillar pier curved girder bridges under the action of custom transport vehicles.
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