Advanced Robotics and Automation Lab, Department of Computer Science and Engineering, University of Nevada, Reno, NV 89512, USA.
Department of Civil and Environmental Engineering, Rutgers, the State of University of New Jersey, Piscataway, NJ 08854, USA.
Sensors (Basel). 2020 Jul 16;20(14):3954. doi: 10.3390/s20143954.
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human inspectors. To facilitate this process, different sensors for data collection and techniques for data analyses have been used to effectively carry out this task in an automated fashion. This review-based study will examine some of the recent developments in the field of autonomous robotic platforms for NDE and the structural health monitoring (SHM) of bridges. Some of the salient features of this review-based study will be discussed in the light of the existing surveys and reviews that have been published in the recent past, which will enable the clarification regarding the novelty of the present review-based study. The review methodology will be discussed in sufficient depth, which will provide insights regarding some of the primary aspects of the review methodology followed by this review-based study. In order to provide an in-depth examination of the state-of-the-art, the current research will examine the three major research streams. The first stream relates to technological robotic platforms developed for NDE of bridges. The second stream of literature examines myriad sensors used for the development of robotic platforms for the NDE of bridges. The third stream of literature highlights different algorithms for the surface- and sub-surface-level analysis of bridges that have been developed by studies in the past. A number of challenges towards the development of robotic platforms have also been discussed.
近几十年来，土木工程的无损评估（NDE）一直是一个活跃的研究领域。传统的土木工程检测主要依赖于人工检查员的目视检查。为了促进这一过程，已经使用了不同的传感器进行数据收集和数据分析技术，以便以自动化的方式有效地执行此任务。本综述研究将检查一些自主机器人平台在 NDE 和桥梁结构健康监测（SHM）领域的最新发展。将根据最近发表的现有调查和综述来讨论本综述研究的一些突出特点，这将有助于澄清本综述研究的新颖性。将充分讨论审查方法，这将提供有关本综述研究所遵循的审查方法的一些主要方面的见解。为了深入研究现状，目前的研究将检查三个主要的研究方向。第一个研究方向涉及为桥梁的 NDE 开发的技术机器人平台。文献的第二个研究方向检查了用于开发用于桥梁 NDE 的机器人平台的众多传感器。文献的第三个研究方向强调了过去研究中为桥梁的表面和次表面分析开发的不同算法。还讨论了开发机器人平台的一些挑战。
