| 引用本文: | 黄侨,赵丹阳,任远,许翔.温度作用下斜拉桥挠度的时间多尺度分析[J].哈尔滨工业大学学报,2020,52(3):18.DOI:10.11918/201812107 |
| HUANG Qiao,ZHAO Danyang,REN Yuan,XU Xiang.Multiple time scale analysis of temperature-induced deflection of cable-stayed bridges[J].Journal of Harbin Institute of Technology,2020,52(3):18.DOI:10.11918/201812107 |
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| 摘要: |
| 为研究斜拉桥挠度的温度效应,获得信号中的响应分量,以南京长江第三大桥为研究对象,分析长期挠度监测信号的时间多尺度特性.采用小波多尺度分析方法,将挠度信号在两个时间尺度（日周期和年周期）上进行重构,实现温度效应的分离.以长期监测数据为基础,研究日温度效应在太阳辐射作用下的特点.结果表明:日温度效应在年周期内存在季节差异性,在日周期内相对太阳辐射具有滞后性. 排除滞后影响,日温度效应与太阳辐射强度呈强正相关关系.考虑季节、大气温度以及太阳辐射的影响,提出了预测误差低于2 cm的日温度效应多折线模型,可实现日周期中任意时刻日温度效应的预测. |
| 关键词: 桥梁挠度 小波分析 时间多尺度分析 温度效应分离 太阳辐射 |
| DOI：10.11918/201812107 |
| 分类号:U446.3 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51208096)； 江苏省自然科学基金(BK20181278)； 江苏省交通厅重大科技专项(2014Y02)； 江苏省交通运输科技(重大专项)(2019Z02) |
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| Multiple time scale analysis of temperature-induced deflection of cable-stayed bridges |
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HUANG Qiao,ZHAO Danyang,REN Yuan,XU Xiang
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(School of Transportation, Southeast University, Nanjing 211189, China)
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| Abstract: |
| In order to study the thermal deflection of cable-stayed bridges and obtain the response components of signals, the Nanjing No.3 Yangtze River Bridge was taken as the research object to analyze the multiple time scale characteristics of long-term deflection monitoring signals. The deflection signal was reconstructed on two time scales (diurnal and annual) by using wavelet multi-scale analysis method to realize separation of thermal deflection. The characteristics of diurnal thermal deflection under solar radiation were studied based on long-term monitoring data. Results show that the diurnal thermal deflection had seasonal differences in annual cycle, and it lagged behind the solar radiation in diurnal cycle. There was a strong positive correlation between the diurnal thermal deflection and the solar radiation excluding the lag effect. Considering the influence of season, ambient temperature, and solar radiation, a multi-fold line model of diurnal thermal deflection with prediction error less than 2 cm was proposed, which could predict diurnal thermal deflection at any time in diurnal cycle. |
| Key words: bridge deflection wavelet analysis multiple time scale analysis thermal deflection separation solar radiation |
