预应力连续箱梁桥的动力有限元模型修正

Dynamic Finite Element Model Updating of Prestressed Concrete Continuous Girder Bridge Based on Real-Coded Accelerating Genetic Algorithm

以张家港河大桥为对象,建立主桥的初始有限元模型,基于频率指标和振型相关系数指标,定义了相比传统更合理的目标函数,利用实数编码加速遗传算法,基于环境激励模态试验的前7阶模态参数,对其初始有限元模型进行修正,并利用后3阶模态参数,对修正后有限元模型的预测能力进行评估。由修正结果和预测能力可知,采用上述指标定义的目标函数和实数编码加速遗传算法,对预应力混凝土连续梁桥的有限元模型进行修正,获得准确反映其实际动力行为的有限元模型。

The dynamic finite element model （FEM） of a prestressed concrete continuous girder bridge （PCCGB）, named Zhangjiagang river main bridge, was established and updated based on the results of field ambient modal testing using real-coded accelerating genetic algorithm （RAGA）, which objective function was defined based on frequency index and correlation coefficient index for evaluating the updated FEM. The dynamic FEM of the bridge was updated based on seven experimental modal parameters. The prediction ability of the updated FEM were evaluated based on three experimental modal parameters. The updated results and prediction ability of updated FEMs indicated that they can reflect adequately the dynamic characteristics of actual PCCGB by using the above objective function and RAGA.