摘要
为了预测桥梁结构钢在海洋大气环境中的腐蚀速度,并用以指导青岛海湾大桥钢结构的后期维护维修,利用多年累积的材料暴露腐蚀试验数据,对桥梁结构钢(Q235)的腐蚀深度,分别建立了幂函数预测模型和灰色预测模型,并对两者的预测结果进行了对比。结果表明:灰色预测模型预测精度较高,但仅能预测Q235钢在t=2n年的腐蚀深度;幂函数预测模型可预测不同钢种在不同环境中的腐蚀深度,应用范围更广,但精度较低;实际应用过程中,可综合考虑这2个模型的腐蚀预测结果。
In order to predict corrosion rate of bridge in marine atmosphere, and guide later maintenance and repair of the steel structure of Qingdao bay bridge, the power function prediction model and the gray prediction model were established and compared for the corrosion depth of the bridge structural steel （ Q235 ） based on the material exposure corrosion test data accumulated in many years. The results show that （1） the accuracy of gray prediction model is higher, but it can only predict the corrosion depth of Q235 steel in t = 2＂ years; （2） the power function prediction model can predict the steel corrosion depth of different kinds of steel in different environments in a wider range of applications, but the accuracy is lower. In the actual application process, the two models can be combined to predict the result of the corrosion.
出处
《公路交通科技》
CAS
CSCD
北大核心
2013年第1期69-73,共5页
Journal of Highway and Transportation Research and Development
关键词
桥梁工程
结构钢
幂函数
腐蚀模型
大气腐蚀
bridge engineering
structural steel
power function
corrosion model
atmospheric corrosion
