摘要
桥墩局部冲刷深度是确定桥墩基础埋深的重要依据,过大的冲刷是桥梁水毁的主要原因之一。利用神经网络和一些实测数据建立BP神经网络模型,进行冲刷深度的预测,用收集到的桥墩局部冲刷数据样本训练并测试BP神经网络模型。测试结果表明由BP神经网络模型得出的桥墩局部冲刷深度预测值与实测值比较吻合,说明该神经网络模型预测桥墩局部冲刷深度是可行的、有效的。
The local scouring depth around bridge pier is a significant element to determine its embedded depth. The safety of the bridge depends on its scouring design because over-scour is one of the main causes of bridge＇s destroy by water. In this paper, the forecast model of scouring depth is conducted by neural network and BP neural networks. The collected data of bridge pier local scour are adapted to train and test the model. The results show that the predicted value is in good agreement with the measured one. So the proposed method is feasible and effective in predicting bridge local scour.
出处
《水运工程》
北大核心
2008年第7期39-43,共5页
Port & Waterway Engineering
关键词
BP神经网络
桥墩
局部冲刷
BP neural networks
bridge pier
local scour
