基于最小二乘支持向量机的码头结构裂缝监控模型

摘要

以台州市椒江区某码头修复加固工程为依托,对修复加固后的码头裂缝监测数据进行采集,并结合码头所在区域的气象资料,对码头裂缝的变化状况进行监控分析.最小二乘支持向量机算法训练效率高、学习能力强,对非线性问题具有较强的鲁棒性,在对其原理研究的基础上,建立了基于最小二乘支持向量机的码头裂缝监控模型,对码头裂缝的状况进行监测与分析,实例表明该方法具有较高的精度,可用于码头裂缝安全监控.%Relying on the repair and reinforcement engineering of a habor in Jiaojiang District of Taizhou,we collected the crack monitoring data of reinforced wharf,and according to the meteorological data within wharf area,we monitored and analyzed the change of wharf cracks.The least squares support vector machine algorithm has high trained efficiency,strong learning ability and robustness in nonlinear problem.On the basis of study on its theory,it was adopted to build the crack monitor models of this port,which could be used to monitor and analyze the status of cracks.The results show that the method has high precision,which can be used for safety monitoring of the wharf cracks.