作　　者： ; ; ;

机构地区： 长沙理工大学

出　　处： 《中南大学学报（自然科学版）》 2014年第2期542-549,共8页

摘　　要： 为合理预测钢筋锈蚀状况,综合考虑均匀锈蚀、局部锈蚀及其影响因素的不确定性,提出钢筋锈蚀率动态演进分析方法。该方法以Bayes理论为基础,利用桥梁检测数据,来实现锈蚀率物理模型选择及其参数的更新;结合一座既有实桥,分析锈蚀率的时变规律,并对理论结果进行实验验证。研究结果表明:模型的不确定性对预测结果的影响不容忽视;基于检测数据的信息更新可使预测结果更接近实际,检测数据越多、更新频率越高,对提高预测准确度越有利;在桥梁管理过程中,应注重检测数据积累和养护管理系统的完善。 Considering uncertainty of general corrosion, pitting corrosion and its influential factors, the dynamic evolution procedure of reinforcement corrosion loss was proposed to predict the steel corrosion conditions. The proposed method was based on the Bayes theory, and model selection and model parameters of corrosion loss were updated by using observed data. The reinforcement corrosion loss analysis of three beams demolished from an old concrete bridge was used to demonstrate and validate the overall procedure. The results show that the effect of model uncertainty on the prediction can not be ignored. Information updating method can efficiently reduce the effect of uncertainty, which makes the predictions close to the actual situation. The more the inspection information, the more frequently updating, the more accurate the outcome is. In practice, the accumulation of inspection information and the improvement of bridge management system should be emphasized.

关 键 词： 混凝土桥梁 钢筋锈蚀 锈蚀形态 不确定性 信息更新

领　　域： [建筑科学] [交通运输工程]