Design and implementation of a new system for large bridge monitoring—GeoSHM

Meng, Xiaolin and Nguyen, Dinh and Xie, Yilin and Owen, John and Psimoulis, Panagiotis and Ince, Sean and Chen, Qusen and Ye, Jun and Bhatia, Paul (2018) Design and implementation of a new system for large bridge monitoring—GeoSHM. Sensors, 18 (3). p. 775. ISSN 1424-8220

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Structural Health Monitoring (SHM) is a relatively new branch of civil engineering that focuses on assessing the health status of infrastructure, such as long-span bridges. Using a broad range of in-situ monitoring instruments, the purpose of the SHM is to help engineers understand the behaviour of structures, ensuring their structural integrity and the safety of the public. Under the Integrated Applications Promotion (IAP) scheme of the European Space Agency (ESA), a feasibility study (FS) project that used the Global Navigation Satellite Systems (GNSS) and Earth Observation (EO) for Structural Health Monitoring of Long-span Bridges (GeoSHM) was initiated in 2013. The GeoSHM FS Project was led by University of Nottingham and the Forth Road Bridge (Scotland, UK), which is a 2.5 km long suspension bridge across the Firth of Forth connecting Edinburgh and the Northern part of Scotland, was selected as the test structure for the GeoSHM FS project. Initial results have shown the significant potential of the GNSS and EO technologies. With these successes, the FS project was further extended to the demonstration stage, which is called the GeoSHM Demo project where two other long-span bridges in China were included as test structures. Led by UbiPOS UK Ltd. (Nottingham, UK), a Nottingham Hi-tech company, this stage focuses on addressing limitations identified during the feasibility study and developing an innovative data strategy to process, store, and interpret monitoring data. This paper will present an overview of the motivation and challenges of the GeoSHM Demo Project, a description of the software and hardware architecture and a discussion of some primary results that were obtained in the last three years.

Item Type: Article
Keywords: structural health monitoring; GNSS; Earth Observation; long-span bridges; data strategy
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: 10.3390/s18030775
Depositing User: Eprints, Support
Date Deposited: 08 Mar 2018 09:45
Last Modified: 08 Mar 2018 12:27

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