平潭海峡公铁两用大桥施工海域风速预测研究

发布时间：2018-12-17 17:24

【摘要】：平潭海峡公铁两用大桥施工海域气象环境复杂、地质水文条件恶劣,为给大桥建设提供准确的风速预测信息,以便合理安排该桥施工调度,针对外海预报台预报数据精度不足的问题,提出采用BP神经网络法进行施工海域风环境预测。在该桥施工区域沿线建立风环境监测系统,建立外海预报台预报数据与桥址处监测数据相互映射关系的神经网络模型,精确预报该桥不同施工区域未来7d的风速,并与实测风速对比分析。结果表明:神经网络预测风速和实测风速比较接近;与实测风速相比,神经网络预测风速的误差为10%~15%。说明神经网络预测风速的精度较高,可根据其风速预报有效指导实桥的施工组织调度。
[Abstract]:The complex meteorological environment and poor geological and hydrological conditions in the construction area of Pingtan Strait Bridge, which provides accurate wind speed prediction information for the construction of the bridge, in order to arrange the construction of the bridge reasonably. In order to solve the problem of low precision of forecast data in offshore forecasting station, BP neural network method is proposed to predict the wind environment in the construction area. The wind environment monitoring system is set up along the construction area of the bridge, and the neural network model of the mapping relationship between the forecast data of the offshore forecasting station and the monitoring data at the bridge site is established, and the wind speed of the different construction areas of the bridge in the next 7 days is accurately predicted. The results are compared with the measured wind speed. The results show that the predicted wind speed of neural network is close to the measured wind speed, and the error of predicting wind speed by neural network is 10 ~ 1515, compared with the measured wind speed. It is shown that the accuracy of predicting wind speed by neural network is high, and it can be used to guide the construction organization and scheduling of real bridge effectively according to the forecast of wind speed.
【作者单位】：中铁大桥科学研究院有限公司;桥梁结构健康与安全国家重点实验室;中国公路工程咨询集团有限公司;
【分类号】：U445

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