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中国福州洪塘大桥伸缩缝的InSAR变形监测:采用先进相位解缠和混合总体最小二乘法

Hongtang Bridge Expansion Joints InSAR Deformation Monitoring with Advanced Phase Unwrapping and Mixed Total Least Squares in Fuzhou China.

作者信息

Wang Baohang, Zhu Wu, Zhao Chaoying, Yan Bojie, Liu Xiaojie, Li Guangrong, Li Wenhong, Yang Liye

机构信息

School of Geography and Oceanography, Minjiang University, Fuzhou 350108, China.

Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an 710054, China.

出版信息

Sensors (Basel). 2024 Dec 29;25(1):144. doi: 10.3390/s25010144.

Abstract

Bridge expansion joints are critical components that accommodate the movement of a bridge caused by temperature fluctuations, concrete shrinkage, and vehicular loads. Analyzing the spatiotemporal deformation of these expansion joints is essential for monitoring bridge safety. This study investigates the deformation characteristics of Hongtang Bridge in Fuzhou, China, using synthetic aperture radar interferometry (InSAR). We optimize the network paths to enhance the phase unwrapping process of InSAR. Additionally, to address design matrix bias resulting from inaccurate temperature data, we employ the mixed total least squares method to estimate deformation parameters. Subsequently, we utilize independent component analysis to analyze the spatiotemporal deformation characteristics of the bridge. The average standard deviation of the unwrapped phase and the modeling residuals have been reduced by 87% and 5%, respectively. Our findings indicate that thermal expansion deformation is primarily concentrated in the expansion joints, measuring approximately 0.6 mm/°C. In contrast, the cable-stayed bridge deck exhibits the largest deformation magnitude, exceeding 2.0 mm/°C. This research focuses on bridge structures to identify typical deformation locations and evaluate their deformation characteristics. Such analysis is beneficial for conducting safety assessments of bridges.

摘要

桥梁伸缩缝是关键部件,用于适应由温度波动、混凝土收缩和车辆荷载引起的桥梁位移。分析这些伸缩缝的时空变形对于监测桥梁安全至关重要。本研究利用合成孔径雷达干涉测量技术(InSAR)对中国福州洪塘大桥的变形特征进行了研究。我们优化了网络路径以增强InSAR的相位解缠过程。此外,为了解决因温度数据不准确导致的设计矩阵偏差问题,我们采用混合总体最小二乘法来估计变形参数。随后,我们利用独立分量分析来分析桥梁的时空变形特征。解缠相位的平均标准差和建模残差分别降低了87%和5%。我们的研究结果表明,热膨胀变形主要集中在伸缩缝处,约为0.6毫米/摄氏度。相比之下,斜拉桥桥面的变形量最大,超过2.0毫米/摄氏度。本研究聚焦于桥梁结构,以识别典型变形位置并评估其变形特征。此类分析有助于对桥梁进行安全评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ae9/11722626/8ac8dcefd0d6/sensors-25-00144-g001.jpg

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