论文部分内容阅读
随着斜拉桥的数量日趋增多,相应的问题也日益严重,在斜拉桥使用寿命增长的同时,也面临着斜拉索更换的问题。然而,对斜拉桥换索过程中各主要参数的预测成为了首要内容。本文以哈尔滨市一机路彩虹桥换索工程为主要的研究背景,借助BP神经网络法进行彩虹桥换索施工的预测,并结合BP算法在MATLAB中的实现过程,建立预测模型,得出参数预测值与实测值误差均在2%以内,预测值与实测值的变化趋势基本一致,表明采用BP神经网络法对斜拉桥换索施工控制具有可靠性。
With the increasing number of cable-stayed bridges, the corresponding problems are also becoming increasingly serious. As the service life of cable-stayed bridges grows, they also face the problem of replacement of stay cables. However, the main parameters of cable-stayed bridge in the process of changing the forecast become the first content. In this paper, a road to Harbin Rainbow Bridge for cable replacement project as the main research background, with BP neural network method Rainbow Bridge for cable construction prediction, combined with BP algorithm in MATLAB to achieve the process of establishing a predictive model, draw the parameters The error between the predicted value and the measured value is less than 2%, and the trend of the predicted value and the measured value are basically the same, which shows that the BP neural network method is reliable for the cable-stayed bridge construction control.