基于历史气象数据扩展的桥梁监测数据的结构温度梯度评价

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Dong-Hui Yang, Ze-Xin Guan, Ting-Hua Yi, Hong-Nan Li, Hua Liu
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引用次数: 0

摘要

结构温度梯度(STG)是引起桥梁结构开裂甚至破坏的关键因素之一。然而,在实践中,其对桥梁结构的实际影响往往被高估或低估。对于大多数正在运营的桥梁,结构健康监测系统刚刚投入使用不久,监测结构温度数据有限,这往往导致基于这种短期结构温度数据的较长回归周期的STG代表值不合理。针对这一问题,本文提出了一种基于桥址长期历史气象参数的STG确定方法。首先,通过相关分析确定影响STG的主要气象参数。其次,考虑不同气象条件对STG的不同影响机制,提出了将气象参数与STG监测数据聚类构建训练样本集的方法。在此训练数据的基础上,可以建立STG与气象参数的相关模型,对基于历史气象数据的STG数据集进行扩展。最后,应用峰值超过阈值法对得到的扩展STG数据进行分析,并估计其代表值。通过一座大跨度斜拉桥对该方法进行了验证。结果表明,通过建立的相关模型,可以有效地扩展STG监测数据集。与短期监测数据相比,通过扩展的监测STG数据集可以获得更合理的STG代表性值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural temperature gradient evaluation based on bridge monitoring data extended by historical meteorological data
The structural temperature gradient (STG) is one of the most key factors causing cracking and even damage to bridge structures. However, its real effects on bridge structures are often over- or underestimated in practice. For most operating bridges, the structural health monitoring systems have just been put into use recently, and the monitoring structural temperature data are limited, which always leads to unreasonable STG representative value for a long return period based on such short-term structural temperature data. To solve the problems, this article proposes an STG determination method based on the long-term historical meteorological parameters at bridge sites. First, the main meteorological parameters affecting the STG were determined by correlation analysis. Second, considering the different influence mechanisms of various meteorological conditions on STG, a training sample set construction method is proposed by clustering the meteorological parameters and STG monitoring data. Based on such training data, a correlation model between STG and meteorological parameters can be established to extend the STG dataset based on the historical meteorological data. Finally, the peak over threshold method is applied to analyze the obtained extended STG data and to estimate its representative value. The proposed method was verified through a long-span cable-stayed bridge. The results show that the monitoring dataset of the STG can be effectively extended through the established correlation model. Compared with the short-term monitoring data, more reasonable representative values of the STG can be obtained through the extended dataset of monitoring STG.
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
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