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中低速磁浮轨道梁温度场时程分析
引用本文:戴公连,杨凌皓,文望青,赵涛.中低速磁浮轨道梁温度场时程分析[J].西南交通大学学报,2019,54(2):227-234.
作者姓名:戴公连  杨凌皓  文望青  赵涛
作者单位:中南大学土木工程学院;浙江省交通规划设计研究院有限公司;中铁第四勘察设计院集团有限公司
基金项目:国家自然科学基金资助项目(51378503);中央高校基本科研业务费专项资金资助项目(2017zzts532)
摘    要:为掌握磁浮轨道梁在长期外界环境作用下产生的复杂的温度场时变规律,在长沙磁浮运营线的轨道梁内埋设温度传感器,通过1.5 a的现场温度监测,获得测点温度时程曲线,并提出了基于时间序列加法模型求解的方法. 该方法将测点温度分解成均匀温度与波动温度,并利用傅立叶曲线拟合方法研究二者的时程曲线,得到轨道梁温度场时变规律. 研究结果表明:均匀温度与当地气候变化相关,各测点均温基本相同,结构温度时变趋势可用中位值为20.41 ℃、变化幅值为12.61 ℃、初相位为20 d、周期为365 d的余弦函数表示长沙磁浮轨道梁均温时程曲线;波动温度与日照作用相关,以日为周期在0线上下波动,可用两个正弦函数分段拟合升降温时程曲线. 

关 键 词:中低速磁浮交通    轨道梁    温度场    时程分析    现场试验
收稿时间:2017-08-19

Time-History Analysis of Temperature Field of Medium-Low Maglev Guideway Girder
DAI Gonglian,YANG Linghao,WEN Wangqing,ZHAO Tao.Time-History Analysis of Temperature Field of Medium-Low Maglev Guideway Girder[J].Journal of Southwest Jiaotong University,2019,54(2):227-234.
Authors:DAI Gonglian  YANG Linghao  WEN Wangqing  ZHAO Tao
Abstract:To master the laws of time-varying temperature fields of maglev girders generated by long-term environmental loading, thermal sensors were installed on a concrete guideway girder in the Changsha Maglev Express. By performing up to 1.5 a of site monitoring, the time-history curve of points was obtained. A method based on the time-series addition model is presented. With this method, the original temperature is decomposed into uniform temperature and fluctuating temperature, and the time-history curves of both temperatures are analysed using the Fourier curve fitting method. Then, the time-varying temperature field of the guideway girder is determined. The results show that uniform temperature is relevant to the climate, and each point is basically the same, reflecting the trend of the original temperature. The overall time-history curve of the girder can be expressed as a cosine function with a median value of 20.41 ℃, amplitude of 12.61 ℃, initial phase of 20 d, and cycle of 365 d. The fluctuating temperature is mainly because of solar radiation, and the curves fluctuate near the zero line. Two sine functions can be used to fit the rising and falling time-history curves. 
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