金山大桥局部拆除后续运营期性能和实测分析

挠度是连续刚构桥悬臂施工控制的重要对象，其实测值受多个因素影响，从实测挠度中获悉反应结构受力的真实挠度，对其施工控制具有重要意义。本文基于改进的自适应卡尔曼滤波算法从挠度实测值中提取出真实信号，预测待浇梁段的挠度变化，并调整施工预拱度，使施工实际状态逼近理论计算轨迹，达到施工监控的目的。通过实际工程的应用证明该方法具有良好的适用性。

Deflection Control of Cantilever Construction Based on Adaptive Kalman Filtering

Deflection is an important controlling object in cantilever construction control of continuous rigid frame bridge. The measured value of deflection is affected by many factors. It is of great significance to obtain the actual deflection of reflecting the stress condition of its structure from the measured deflection values. Real signals were extracted from the measured deflection values by the improved adaptive Kalman filter algorithm method. Based on these actual deflection values, the deflection changes of the subsequent casting segment were predicted, and the construction cambers were adjusted, so that the actual construction state was close to the theoretical state. The application of this method in practical engineering proved that it has good applicability.