静力模型优化分析简支 T 梁桥横向分布系数与刚度.

In view of the high cost of bridge load test and the high professional requirements for test personnel, in order to provide more realistic theoretical data for bridge monitoring, a method of correcting theoretical parameters based on structural static test results was proposed. This method can consider the shear deformation between T-beams, and is more suitable for the actual connection between beams than the hinged T-beam method, which greatly improves the analysis accuracy and reduces the professional requirements for the test personnel. The proposed method was applied to the transverse distribution coefficient and stiffness analysis of plexiglass hinged T-beam bridge model. The results show that without considering the influence of shear force between beams, the calculation results of the influence line of load transverse distribution are consistent with those of the hinged T-beam method under the analysis and calculation of the simplified analysis model, which ensures the accuracy of the simplified model and analysis results. The load transverse distribution coefficient obtained by the proposed method is better than that of the hinged T-beam method, and it can more accurately reflect the actual stiffness of the bridge. Based on the static measured response value of the plexiglass model, the key control parameters of the simplified analysis model are identified. Based on the measured data, the modified theoretical model and the lateral distribution coefficient calculated by the software extraction value, the difference is small. It is proved that the method can better reflect the actual stiffness of the bridge and provide more realistic theoretical data for monitoring. It can be seen that the static model optimization analysis of the simply supported T-beam bridge, the optimization rate of the deflection of the beam under the most unfavorable load is 27. 71%. Under the three working conditions, the numerical optimization rate of the influence line of the beam with the largest deflection is 34. 82%, 13. 07% and 5. 46%, respectively. [ABSTRACT FROM AUTHOR]