A MTInSAR-Based Early Warning System to Appraise Deformations in Simply Supported Concrete Girder Bridges

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Mirko Calò, Sergio Ruggieri, Andrea Nettis, Giuseppina Uva
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Abstract

This paper presents an early warning system to investigate deformations in simply supported concrete girder bridges over time, using the information content provided by satellite data, integrated with other available sources. The safety of the existing bridges is a priority for transportation management companies, which should carry out continuous and accurate monitoring campaigns, by exploiting traditional time- and cost-consuming activities that cannot be widely applied to a bridge portfolio scale. To reduce management costs and to define reliable prioritization schemes, new cost-effective technologies can be involved such as the satellite-based Multi-Temporal Interferometry Synthetic Aperture Radar (MTInSAR). This technique can represent a valuable option for observing the displacements induced by different actions and to relate the identified behaviour to possible or future fails. This paper presents an early warning system aimed at exploring possible anomalies in simply supported reinforced concrete girder bridges by efficiently elaborating MTInSAR, combined with additional data (e.g., environmental temperature and structural information knowledge). The proposed framework allows manipulating the persistent scatterers’ information to derive longitudinal and vertical displacements over time. These are compared to appropriate thresholds leading to potential early warnings aimed at supporting road managers in undertaking future surveillance actions. The proposed procedure was tested on a case study, defined according to the most spread typology of bridges in Italy. This application highlights the advantages of the proposed framework which allows for a cost-effective long-term monitoring with outputs that can be automatically updated over time and suitable for network-scale early warning detection.

Abstract Image

基于 MTInSAR 的简支混凝土梁桥变形评估预警系统
本文提出了一种早期预警系统,利用卫星数据提供的信息内容,并结合其他可用来源,调查简支混凝土梁桥随时间变化的变形情况。现有桥梁的安全是交通管理公司的首要任务,这些公司应利用传统的耗时耗资的活动开展持续、准确的监测活动,而这些活动无法广泛应用于桥梁组合规模。为了降低管理成本并确定可靠的优先级计划,可以采用成本效益高的新技术,如基于卫星的多时相干涉合成孔径雷达(MTInSAR)。这项技术是观测不同行动引起的位移,并将确定的行为与可能或未来的故障联系起来的重要选择。本文介绍了一种预警系统,旨在通过有效阐述 MTInSAR,并结合附加数据(如环境温度和结构信息知识),探索简支钢筋混凝土梁桥可能出现的异常情况。所提出的框架允许对持续散射体信息进行处理,以得出随时间变化的纵向和垂直位移。将这些信息与适当的阈值进行比较,可得出潜在的预警,从而支持道路管理者采取未来的监控行动。建议的程序在一个案例研究中进行了测试,该案例研究是根据意大利最普遍的桥梁类型定义的。该应用凸显了所提议框架的优势,它允许进行具有成本效益的长期监测,其输出结果可随时间自动更新,并适用于网络规模的预警检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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