| 引用本文: | 许翔,黄侨,任远,赵丹阳,杨娟.大跨钢斜拉桥实测结构温度场分析[J].哈尔滨工业大学学报,2019,51(9):14.DOI:10.11918/j.issn.0367-6234.201809196 |
| XU Xiang,HUANG Qiao,REN Yuan,ZHAO Danyang,YANG Juan.Thermal field analysis for large span steel cable-stayed bridges using in-situ measurements[J].Journal of Harbin Institute of Technology,2019,51(9):14.DOI:10.11918/j.issn.0367-6234.201809196 |
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| 大跨钢斜拉桥实测结构温度场分析 |
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许翔1,2,黄侨1,2,任远1,2,赵丹阳1,2,杨娟3
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(1.东南大学 交通学院, 南京 210096;2.交通基础设施安全风险管理行业重点实验室(东南大学), 南京 210096; 3.南京长江第三大桥有限责任公司, 南京 211808)
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| 摘要: |
| 为掌握大型钢斜拉桥的温度分布特点以及确定结构温度效应分析的作用形式,以南京长江三桥温度监测数据为基础,研究大跨钢斜拉桥温度场的特点. 首先介绍温度传感器的布置形式,然后分析构件温度随时间的变化规律及考虑太阳辐射条件下其与大气温度的相关关系,随后研究钢箱梁竖向、横向以及索塔的温度梯度特征,最后利用广义帕累托分布模型对100 a重现期的温度作用极值进行预测. 研究结果表明:钢箱梁温度与大气温度线性相关,且斜率参数随辐射强度的增强而增大；钢箱梁竖向温差的最大值出现在夏季,其分布形式与BS 5400的规定较为接近；钢箱梁顶板横向温差最大值出现在冬季,其温度分布为多折线形式；塔柱的最大温差出现在冬季,数值为9.94 ℃；除了钢箱梁竖向温度梯度,其他温度作用极值估计的结果均大于规范的规定. 南京长江三桥温度场的分析结果为钢箱梁斜拉桥温度效应分析提供了依据,同时也为桥梁设计规范修编和养护管理提供数据支撑. |
| 关键词: 大跨钢斜拉桥 温度监测数据 相关性 温度梯度 广义帕累托分布 |
| DOI：10.11918/j.issn.0367-6234.201809196 |
| 分类号:U446.3 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(51208096)； 江苏省交通科学研究计划(2019Z02) |
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| Thermal field analysis for large span steel cable-stayed bridges using in-situ measurements |
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XU Xiang1,2,HUANG Qiao1,2,REN Yuan1,2,ZHAO Danyang1,2,YANG Juan3
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(1. School of Transportation, Southeast University, Nanjing 210096, China; 2.Key Laboratory of Safety and Risk Management on Transport Infrastructures (Southeast University), Nanjing 210096, China; 3. Nanjing No.3 Yangtze River Bridge Ltd., Nanjing 211808, China)
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| Abstract: |
| To understand the temperature distributions of large scale cable-stayed bridges and provide loadings for thermal effect analysis, thermal field characteristics for the 3rd Nanjing Yangtze River Bridge were investigated based on temperature monitoring data. Layout of the temperature sensors was firstly introduced. Then, the variation law of component temperatures over time was studied, and the correlation between component temperature and ambient temperature was discussed under the condition of solar radiation. Next, features of temperature gradients for the tower and steel box girder (vertical and transverse) were analyzed. Finally, extreme values of temperature actions corresponding to 100-year return period were estimated by using generalized Pareto distribution. Results show that the steel box girder temperature was linearly correlated with the ambient temperature, and the gradient parameter in the fitting equation increased with solar radiation intension. The maximum vertical temperature difference for the steel box girder occurred in summer, and its distribution form was much similar to the descriptions in BS 5400. The largest transverse temperature difference for the deck was in winter, and its distribution form was in line with multi-line model. The maximum temperature difference of the tower occurred in winter with the magnitude of 9.94 ℃. Except for the vertical temperature gradient of the steel box girder, the estimated values of the other thermal actions were all larger than those in the codes. The thermal field analysis results of the 3rd Nanjing Yangtze River Bridge may assist thermal effect simulation of steel cable-stayed bridges as well as support bridge design specification revision and bridge maintenance. |
| Key words: large span steel cable-stayed bridge temperature monitoring data correlation temperature gradient generalized Pareto distribution |
