基于监测大数据的涡激振动影响因素分析

为从监测大数据中提取影响桥梁涡激振动的特征参数,及时预测涡激振动,以某跨海大桥为背景,对该桥2013～2015年的涡激振动监测数据进行梳理,分析风参数以及能量集中系数等结构振动响应因素在涡激振动中的特异性,根据涡激振动特征参数建立动态监控模型,并应用于该桥中。结果表明:涡激振动主要发生在顺风向平均风速为4～13m/s低风速以及300°～330°、120°～150°风向角间;竖向平均风速、风攻角、湍流度、阵风因子均不宜作为涡激振动预测分析参数;能量集中系数与加速度均方根值可作为桥梁是否发生涡激振动的进一步判断条件;涡激振动动态监控模型可及时预测涡激振动,且实际应用效果较好。

Factors Analysis of Vortex-Induced Vibration Based on Monitoring Big Data

In order to extract the characteristic parameters that affect the vortex-induced vibration from monitoring data and timely predict the behavior of vortex-induced vibration,taking a cross-sea bridge for example,we analyzed the monitoring data of vortex-induced vibration of the bridge from 2013 to 2015,and studied the specificity of structural vibration response factors such as wind parameters and energy concentration coefficient in vortex induced vibration.Moreover,we established a dynamic monitoring model according to characteristics of vortex-induced vibration.The results show that the vortex-induced vibration mainly occurs in low wind speed with an average wind speed of 4-13 m/s,and with wind angles of 300°-330°and 120°-150°.The parameters such as the vertical average wind speed,wind attack angle,turbulence intensity and gust factors are not suitable for predicting and analyzing vortex-induced vibration.The energy concentration coefficient and the root mean square value of acceleration can be used as further criteria for judging the occurrence of vortex-induced vibration of bridges.The dynamic monitoring model for vortex-induced vibration can be adopted to timely predict vortex-induced vibration,and can be effectively applied in practical engineerings.