基于Poisson过程的桥梁交通激励模型

本文提出了一种基于Poisson过程的桥梁交通激励模型,给出建立这种激励模型功率谱密度矩阵的方法:首先应用动力节点加载方法,将移动荷载转化为等效的节点荷载,然后对过滤的泊松过程应用坎贝尔定理。数值分析表明:机车按正常稳定的速度行驶,此种荷载模型可以反映桥梁交通激励的空间相关性,而应用传统的交通激励模型白噪声作为假设激励模型识别移动荷载作用下桥梁的结构特性时,会导致错误结果。

POISSON PROCESS-BASED TRAFFIC EXCITATION MODEL FOR HIGHWAY BRIDGES

This paper presents a traffic excitation model based on Poisson Process,and proposes a method to construct this model's spectrum density matrix.By converting the moving forces into equivalent nodal excitation by the dynamic nodal loading approach,the Campbell's theorem is appied for the filtered Poisson Process.The result of numerical analysis shows that the proposed model can represent the primary nature of the traffic excitation as long as the normal speed of the vehicles on a bridge.In output-only system,identifying the direct application of the white noise excitation model can lead to misleading results.