# [1]周广东,等.基于实测数据的润扬大桥悬索桥全寿命评估随机温度场模拟[J].东南大学学报(自然科学版),2013,43(5):912-916.[doi:10.3969/j.issn.1001-0505.2013.05.002] 　Zhou Guangdong,Li Aiqun,et al.Simulation of stochastic temperature field for Runyang suspension bridge life-cycle evaluation based on monitoring data[J].Journal of Southeast University (Natural Science Edition),2013,43(5):912-916.[doi:10.3969/j.issn.1001-0505.2013.05.002] 点击复制 基于实测数据的润扬大桥悬索桥全寿命评估随机温度场模拟() 分享到： var jiathis_config = { data_track_clickback: true };

43

2013年第5期

912-916

2013-09-20

## 文章信息/Info

Title:
Simulation of stochastic temperature field for Runyang suspension bridge life-cycle evaluation based on monitoring data

1东南大学混凝土及预应力混凝土结构教育部重点实验室, 南京 210096; 2河海大学土木与交通学院, 南京 210098
Author(s):
1Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, China
2College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China

Keywords:

U448;U442
DOI:
10.3969/j.issn.1001-0505.2013.05.002

Abstract:
A stochastic temperature field simulation method for steel box-girder bridge based on monitoring data is developed to provide sufficient temperature data for life-cycle evaluation. First, the least square estimation and hypothesis testing are employed to analyze the statistical data of monitoring temperature and thermal difference of the flat steel-box girder of the Runyang suspension bridge(RSB)in five years. Then, a numerical inverse transform sampling method is proposed to simulate sample series with the complex statistical model, and the life-cycle stochastic temperature field of the flat steel-box girder is simulated. The results show that the monitoring temperature of the flat steel-box girder can be described by the weighted sum of two normal distributions, while the thermal difference among test points can be presented by the weighted sum of the Weibull distribution and the normal distribution. The probability distribution function of the sample simulated by the numerical inverse transform sampling method agrees well with the target probability distribution function. The simulated temperature field can accurately describe the temperature fields characteristics of the flat steel box-girder. Therefore, the numerical inverse transform sampling method can accurately simulate the life-cycle stochastic temperature field of the flat steel box girder of the long-span suspension bridge.

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