作　　者： ; ; ;

机构地区： 同济大学土木工程学院地下建筑与工程系

出　　处： 《地下空间与工程学报》 2009年第A02期1751-1753,共3页

摘　　要： 在桥梁基础托换过程中,为了保证桥梁在施工过程中的正常使用,需要关注其桥面及周围的沉降情况。本文以上海市地铁10号线溧阳路～曲阳路区间隧道四平路上沙泾港桥基础托换过程中桥下开挖及加固工况为实例,应用广义回归神经网络对桥面沉降量进行预测。通过对监测数据进行训练及检验得出广义回归神经网络在桥面沉降量时间序列预测应用中的合理性,并可以将该法作为同类工程的一个参考。 During the process of underpinning of bridge foundation, the settlement of bridge surface and its surrounding should be concerned about to ensure the normal use of bridge during the censtruction. In this paper, based on the Shajinggang Bridge in the range of Liyang - Quyang Road of Shanghai Metro Line 10, the settlement of bridge surface induced in the period of excavation and foundation reinforcement during underpinning is analyzed and predicted using the method of generalized regression neural network. With the process of training and testing of monitoring data, the validation of the application of general regression neural network in the time series prediction of bridge surface settlement is concluded, and also this method can be used to give some references to similar constructions concerning the settlement.

关 键 词： 基础托换 沉降监测 广义回归网络 时间序列预测

领　　域： [建筑科学] [交通运输工程]