机器人
机器人学
人工智能
无人机
结构健康监测
工程类
计算机科学
控制工程
模拟
电气工程
遗传学
生物
作者
Yongding Tian,Chao Chen,Kwesi Sagoe‐Crentsil,Jian Zhang,Wenhui Duan
标识
DOI:10.1016/j.autcon.2022.104273
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI