TY - JOUR
T1 - Intelligent robotic systems for structural health monitoring
T2 - applications and future trends
AU - Tian, Yongding
AU - Chen, Chao
AU - Sagoe-Crentsil, Kwesi
AU - Zhang, Jian
AU - Duan, Wenhui
N1 - Funding Information:
The authors are grateful for the financial support from Fundamental Research Funds for the Central Universities ( 2682022CX077 ), National Key R&D Program of China (No.: 2019YFC1511105 ) and the Science and Technology Program of Guangxi Province (No.: 2021AA01007AA ).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/7
Y1 - 2022/7
N2 - The application of the cutting-edge technologies of robotics and computer science to structural health monitoring (SHM) of bridges have gained much attention. This review describes existing robotic systems in three areas: (1) rigid robotic systems, such as mobile robots, wall-climbing robots, cable-climbing robots, and flying drones, for the inspection of surface/subsurface defects; (2) mobile robots, climbing robots and flying drones for dynamic response (e.g., accelerations, displacements) measurement, modal identification, and cable tension force estimation; (3) multimodal rigid robots and soft wall-climbing robots with SHM potential. The development of multimodal robotic systems, such as flying and perching drones, hybrid terrestrial–aquatic robots, hybrid aerial–aquatic robots, and hybrid flying and walking robots, have great potential for performing multiple inspection tasks when various Nondestructive Evaluation (NDE) tools are integrated with those robotic systems. Another trend is to design soft robotics with smart materials for inspection tasks in some special/space-confined environment because of the advantages of lightweight, high adaptability, and less requirement for electric motors compared with rigid robotics. This comprehensive literature review is intended to provide guidelines for choosing the appropriate robotic platform for defect inspection or vibration measurement of bridges and other types of civil infrastructure. It also can give some insights into the development of versatile robots for SHM applications.
AB - The application of the cutting-edge technologies of robotics and computer science to structural health monitoring (SHM) of bridges have gained much attention. This review describes existing robotic systems in three areas: (1) rigid robotic systems, such as mobile robots, wall-climbing robots, cable-climbing robots, and flying drones, for the inspection of surface/subsurface defects; (2) mobile robots, climbing robots and flying drones for dynamic response (e.g., accelerations, displacements) measurement, modal identification, and cable tension force estimation; (3) multimodal rigid robots and soft wall-climbing robots with SHM potential. The development of multimodal robotic systems, such as flying and perching drones, hybrid terrestrial–aquatic robots, hybrid aerial–aquatic robots, and hybrid flying and walking robots, have great potential for performing multiple inspection tasks when various Nondestructive Evaluation (NDE) tools are integrated with those robotic systems. Another trend is to design soft robotics with smart materials for inspection tasks in some special/space-confined environment because of the advantages of lightweight, high adaptability, and less requirement for electric motors compared with rigid robotics. This comprehensive literature review is intended to provide guidelines for choosing the appropriate robotic platform for defect inspection or vibration measurement of bridges and other types of civil infrastructure. It also can give some insights into the development of versatile robots for SHM applications.
KW - Climbing robots
KW - Defect inspection
KW - Drones
KW - Robotics
KW - Soft robots
KW - Structural health monitoring
KW - Vibration measurement
UR - http://www.scopus.com/inward/record.url?scp=85129072290&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104273
DO - 10.1016/j.autcon.2022.104273
M3 - Review Article
AN - SCOPUS:85129072290
SN - 0926-5805
VL - 139
JO - Automation in Construction
JF - Automation in Construction
M1 - 104273
ER -