人工免疫算法在桥梁健康监测中的应用

Application of Artificial Immune Algorithm in Bridge Health Monitoring

桥梁健康监测中故障样本不易获取,模型试验不仅成本高,而且通过模型试验建立的故障样本与实际桥梁相差甚远。为此提出了一种基于人工免疫算法,以挠度、应变等桥梁静态数据的角度进行分析,并从桥梁健康运行时的长期历史数据中寻找有效信息的数据评估方法。经过在菜园坝长江大桥一年期的试运行和实践,证明了基于人工免疫算法的桥梁状态评估方法的有效性,其有效率达到了40%。

The fault samples in bridge health monitoring are difficult for acquisition. The cost of model test of bridge is very high,and the fault samples which are got from model test are far from the actual bridge. For these factors,a method of data assessment based on artificial immune is proposed,which analyzes from the perspective of static data,such as deflection,strain,and so on. The historical information is very effective when bridge is running healthfully for a long time. In a year of commissioning and trial in Caiyuanba Yangtz River Bridge,it is proved that the method of bridge state assessment based on artificial immune algorithm is effective and feasible. And the effective rate reached 40%.