Bridge dynamic weighing algorithm and experimental research based on Bayesian posteriori estimation

The invention provides a bridge dynamic weighing algorithm based on Bayesian posteriori estimation. Comprising the following steps: acquiring a bridge load response of vehicle bridge crossing, and performing axle load identification by using a Bayesian algorithm; firstly, in a main cycle i, an initial constraint factor is assumed, and an axle weight A (i = 0) is obtained; the axle weight A (i = 0) is used as a known quantity, a measurement error is calculated, and the standard deviation of the bridge response measurement error is obtained. And then, entering a sub-cycle j, assuming an initial value of the axle load standard deviation, and calculating the axle load standard deviation according to a formula. And then, continuously repeating by using and calculating a constraint factor until the axle load is converged and the difference value of the axle loads obtained in two times is smaller than a threshold value. And finally, A (i) sum is output. 本申请提供了一种基于贝叶斯后验估计的桥梁动态称重算法。包括步骤：获取车辆过桥的桥梁荷载响应，利用贝叶斯算法进行轴重识别。首先，