摘要
索力监测是高速公路斜拉桥健康监测的重要内容之一。将拉索振动加速度信号采集与信号处理并行,可缩短索力检测数据的输出间隔,提高索力监测的实时性。基频法是测量拉索索力的简便快捷的方法,其中拉索振动基频的准确识别是关键。我们提出了基于多次自相关的振动基频识别方法,实验验证,该方法在有干扰信号存在的情况下能准确识别拉索振动的基频。
Cable tension is an important item for the cable-stayed bridge health monitoring. Based on data cache, the tension measurement period is shorted mostly by having data acquirement and cable computation paralleled. Natural frequency method is simple and efficient for cable tension computa- tion. A new method for cable vibration natural frequency is introduced and implemented. By the prop- erty that the spectrum of cable vibration wave consists of constant approximately distance peaks, the multiple auto-correlation function is used to find the average distance. Experiences show that this meth- od is more robust than traditional one.
出处
《贵州师范大学学报(自然科学版)》
CAS
2013年第4期92-95,共4页
Journal of Guizhou Normal University:Natural Sciences
基金
贵州省重点实验室项目:贵州省公路交通安全海量数据分析及空间决策支持系统(黔科合计Z字[2012]4011)
关键词
基频法
自相关函数
索力计算
natural frequency
auto-correlation
cable tension monitoring