The Way Forward for Indirect Structural Health Monitoring (iSHM) Using Connected and Automated Vehicles in Europe

被引:23
作者
Gkoumas, Konstantinos [1 ]
Gkoktsi, Kyriaki [1 ]
Bono, Flavio [1 ]
Galassi, Maria Cristina [1 ]
Tirelli, Daniel [1 ]
机构
[1] European Commiss, Joint Res Ctr JRC, I-21027 Ispra, Italy
基金
欧盟地平线“2020”;
关键词
iSHM; drive-by monitoring; vehicle– bridge interactions; connected and automated vehicles; bridge safety; Europe;
D O I
10.3390/infrastructures6030043
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Europe's aging transportation infrastructure requires optimized maintenance programs. However, data and monitoring systems may not be readily available to support strategic decisions or they may require costly installations in terms of time and labor requirements. In recent years, the possibility of monitoring bridges by indirectly sensing relevant parameters from traveling vehicles has emerged-an approach that would allow for the elimination of the costly installation of sensors and monitoring campaigns. The advantages of cooperative, connected, and automated mobility (CCAM), which is expected to become a reality in Europe towards the end of this decade, should therefore be considered for the future development of iSHM strategies. A critical review of methods and strategies for CCAM, including Intelligent Transportation Systems, is a prerequisite for moving towards the goal of identifying the synergies between CCAM and civil infrastructures, in line with future developments in vehicle automation. This study presents the policy framework of CCAM in Europe and discusses the policy enablers and bottlenecks of using CCAM in the drive-by monitoring of transport infrastructure. It also highlights the current direction of research within the iSHM paradigm towards the identification of technologies and methods that could benefit from the use of connected and automated vehicles (CAVs).
引用
收藏
页数:17
相关论文
共 100 条
[1]   Monitoring of transport infrastructure exposed to multiple hazards: a roadmap for building resilience [J].
Achillopoulou, Dimitra V. ;
Mitoulis, Stergios A. ;
Argyroudis, Sotirios A. ;
Wang, Ying .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 746
[2]  
Aktan A.E., 2001, MONITORING MANAGING, V4337
[3]  
Alonso Raposo M., 2019, The Future of Road Transport. Implications of automated, connected, Low-Carbon and Shared Mobility, DOI [10.2760/9247, DOI 10.2760/9247]
[4]  
Amditis Angelos, 2019, Cooperative Intelligent Transport Systems: Towards high-level automated driving, P309, DOI 10.1049/PBTR025E_ch14
[5]   Recent progress and future trends on damage identification methods for bridge structures [J].
An, Yonghui ;
Chatzi, Eleni ;
Sim, Sung-Han ;
Laflamme, Simon ;
Blachowski, Bartlomiej ;
Ou, Jinping .
STRUCTURAL CONTROL & HEALTH MONITORING, 2019, 26 (10)
[6]  
[Anonymous], 2018, EUR MOV SUST MOB EUR
[7]  
[Anonymous], 2020, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: A European Strategy for Data
[8]  
Bentur A., 2019, STEEL CORROSION CONC, P208
[9]   Perspectives on the Structural Health Monitoring of Bridges by Synthetic Aperture Radar [J].
Biondi, Filippo ;
Addabbo, Pia ;
Ullo, Silvia Liberata ;
Clemente, Carmine ;
Orlando, Danilo .
REMOTE SENSING, 2020, 12 (23) :1-25
[10]   State-of-the-Art Review on Determining Prestress Losses in Prestressed Concrete Girders [J].
Bonopera, Marco ;
Chang, Kuo-Chun ;
Lee, Zheng-Kuan .
APPLIED SCIENCES-BASEL, 2020, 10 (20) :1-14