Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

被引:79
作者
Ahmed, Habib [1 ]
La, Hung Manh [1 ]
Gucunski, Nenad [2 ]
机构
[1] Univ Nevada, Dept Comp Sci & Engn, Adv Robot & Automat Lab, Reno, NV 89512 USA
[2] Rutgers State Univ, Dept Civil & Environm Engn, Piscataway, NJ 08854 USA
基金
美国国家科学基金会;
关键词
non-destructive evaluation (NDE); structural health monitoring (SHM); electric resistivity (ER) sensors; ground-penetrating radar (GPR); infrared (IR) thermography; impact echo (IE); NDE sensor fusion; convolutional neural network (CNNs); concrete crack detection; rebar detection and localization; GROUND-PENETRATING RADAR; CONVOLUTIONAL NEURAL-NETWORKS; DIGITAL IMAGE CORRELATION; AUTOMATIC CRACK DETECTION; NDE DATA FUSION; DAMAGE DETECTION; INFRARED THERMOGRAPHY; LANDMINE DETECTION; COMPUTER VISION; REFLECTION HYPERBOLAS;
D O I
10.3390/s20143954
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页码:1 / 38
页数:38
相关论文
共 237 条
  • [1] Analysis of edge-detection techniques for crack identification in bridges
    Abdel-Qader, L
    Abudayyeh, O
    Kelly, ME
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2003, 17 (04) : 255 - 263
  • [2] Abiko S, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), P2267
  • [3] Abraham O., 2010, NONDESTRUCTIVE EVALU
  • [4] Condition monitoring of bridges with non-contact testing technologies
    Abu Dabous, Saleh
    Feroz, Sainab
    [J]. AUTOMATION IN CONSTRUCTION, 2020, 116
  • [5] A survey of automation-enabled human-in-the-loop systems for infrastructure visual inspection
    Agnisarman, Sruthy
    Lopes, Snowil
    Madathil, Kapil Chalil
    Piratla, Kalyan
    Gramopadhye, Anand
    [J]. AUTOMATION IN CONSTRUCTION, 2019, 97 : 52 - 76
  • [6] Ahmed H., AUTOMATION CONSTRUCT
  • [7] Ahmed H., 2019, 2019 INT C 4 IND REV, P1, DOI [DOI 10.1109/ICFIR.2019.8894782, 10.1109/ICFIR.2019.8894782]
  • [8] Multiple Nonlinear Harmonic Oscillator-Based Frequency Estimation for Distorted Grid Voltage
    Ahmed, Hafiz
    Bierhoff, Michael
    Benbouzid, Mohamed
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (06) : 2817 - 2825
  • [9] Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition
    Al-Nuaimy, W
    Huang, Y
    Nakhkash, M
    Fang, MTC
    Nguyen, VT
    Eriksen, A
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2000, 43 (2-4) : 157 - 165
  • [10] Use of the digital image correlation and acoustic emission technique to study the effect of structural size on cracking of reinforced concrete
    Alam, S. Y.
    Loukili, A.
    Grondin, F.
    Roziere, E.
    [J]. ENGINEERING FRACTURE MECHANICS, 2015, 143 : 17 - 31