摘要
以一中承式钢管混凝土拱桥为例,以模态置信度MAC矩阵的最大非对角元为目标函数,用序列法和遗传算法对该桥进行监测传感器的优化布置并进行比较。通过曲率模态与拱肋最外层纤维的正比关系,以弯曲变形能为优化目标函数,用遗传算法对拱肋进行应变传感器的优化布置,得出在钢管混凝土拱桥的传感器位置寻优中遗传算法是一种可行的、较好的方法。
Taking the max off-diagonal element of Modal Assurance Certificate(MAC) matrix an objective function,comparing serial methods and genetic algorithms for one target function,this paper proposed an optimal sensor placement of health monitoring,as the curvature of mode is direct ratio to the fibre of the ragged edge of the arch.Taking the bend distortion energy an objective function,the strain sensors optimal placement is completed by using genetic algorithms.The results indicate that the genetic algorithms is more suitable for sensors optimal placement in bridge health monitoring system.
出处
《现代交通技术》
2007年第S2期103-106,共4页
Modern Transportation Technology
关键词
桥梁健康监测
传感器优化布置
二重编码
遗传算法
bridge health monitoring
sensors optimal placement
dualistic coding
genetic algorithm