摘要
通过对润扬大桥健康监测系统获取的长期实测风场数据进行分析,获得了南塔塔顶300d的平均风速、风向、湍流度、阵风因子、湍流积分尺度、脉动风功率谱等风场特性参数的分布规律以及参数之间相关性的推荐公式。并与跨中风速仪测试数据进行对比分析,得到了平均风速随高度的变化规律以及两点间风场的空间相关性。长期实测结果统计分析表明,润扬大桥悬索桥南塔塔顶的平均风速较小、风向稳定;风场的湍流度比跨中更强,并高出规范建议值近7倍;湍流积分尺度接近正态分布,并与湍流度、平均风速存在一定的相关性;纵向、横向功率谱均与Kaimal谱相差较大,功率谱密度函数参数与平均风速存在直接相关性;塔顶风场与跨中风场相关性较弱。
The wind environment field measurement at the south tower top is executed by the structural health monitoring system located on the Runyang Suspension Bridge. The wind characteristics including average wind speed, wind direction, the turbulence intensity, the gust factors, the turbulence integral length and power spectrum are calculated, based on 300 days field measurement data. The correlation formulations between parameters are proposed. By comparing with the data measured by an anemometer located in the middle of the span, the regulations that average wind speed changes with the height and the correlation coefficient between top and mid-span are obtained. Statistical analysis results reveal that the average wind speed at the top of south tower is low, and the wind direction is stable for the year. The turbulence intensity at the top is stronger when comparing with that in mid-span and the value exceeds the suggestion value of bridge design code seven times. The distribution of the turbulence integral length is almost normal and has correction with the turbulence intensity and average wind speed. Both the longitudinal turbulence power spectrums and transverse turbulence power spectrums can not fit the Kaimal spectrum very well and the parameters of power spectrum density function have close relationship with the average speed. The wind characters of the south tower top are not influenced by that of mid-span because of the long distance of the two positions.
出处
《工程力学》
EI
CSCD
北大核心
2012年第7期93-101,共9页
Engineering Mechanics
基金
国家自然科学基金项目(51178100)
江苏省自然科学基金项目(BK2011141)
江苏省高校"青蓝工程"优秀青年骨干教师资助计划
东南大学优秀博士学位论文基金项目(YBJJ0922)
关键词
大跨度桥梁
结构健康监测
风场实测
湍流特性
功率谱密度
long span bridge
structural health monitoring
wind environment field measurement
turbulencecharacteristic
power spectrum density function