基于LSM和GST的悬浇桥梁施工状态预测方法

Construction State Prediction Method of Cantilever Casting Bridge Based on LSM and GST

针对节段悬浇桥梁的施工特点,建立了指导该类桥梁施工控制的多参数动态识别和状态预测模型。该模型在敏感性分析的基础上,将基于最小二乘法(LSM)的多参数识别和基于灰色系统理论(GST)的趋势预测相结合,使桥梁实际状态与理论状态吻合。算例表明,该方法能够有效指导悬浇桥梁的施工。

According to the construction features of segment cantilever casting bridges, a multiparameter identification and state forecasting model is proposed to guide the construction control. The sensitivity analysis is used to obtain key parameters. The least square method （LSM） is employed for multi-parameter identification. The grey system theory （GST） is used for the tendency forecasting. The calculation example proved that the proposed method can effectively guide the cantilever casting bridges construction.