Millimeter-wave Non-Destructive Evaluation of Pavement Conditions

被引:0
|
作者
Vines-Cavanaugh, David [1 ]
Busuioc, Dan [2 ]
Birken, Ralf [1 ]
Wang, Ming [1 ]
机构
[1] Northeastern Univ, 360 Huntington Ave, Boston, MA 02115 USA
[2] DBC Grp Inc, Brookline, MA 02446 USA
关键词
D O I
10.1117/12.914788
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The United States is suffering from an aging civil infrastructure crisis. Key to recovery are rapid inspection technologies like that being investigated by the VOTERS project (Versatile Onboard Traffic Embedded Roaming Sensors), which aims to outfit ordinary road vehicles with compact low-cost hardware that enables them to rapidly assess and report the condition of roadways and bridge decks free of driver interaction. A key piece of hardware, and the focus of this paper, is a 24 GHz millimeter-wave radar system that measures the reflectivity of pavement surfaces. To account for the variability of real-world driving, such as changes in height, angle, speed, and temperature, a sensor fusion approach is used that corrects MWR measurements based on data from four additional sensors. The corrected MWR measurements are expected to be useful for various characterization applications, including: material type; deterioration such as cracks and potholes; and surface coverage conditions such as dry, wet, oil, water, and ice. Success at each of these applications is an important step towards achieving the VOTERS objective, however, this paper focuses on surface coverage, as whatever covers the driving surface will be most apparent to the MWR sensor and if not accounted for could significantly limit the accuracy of other applications. Contributions of the paper include findings from static lab tests, which validate the approach and show the effects of height and angle. Further contributions come from lab and in-field dynamic tests, which show the effects of speed and demonstrate that the MWR approach is accurate under city driving conditions.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Millimeter Wave SAR Imaging for the Non-Destructive Testing of 3D-printed Samples
    ELsaadouny, Mostafa
    Barowski, Jan
    Jebramcik, Jochen
    Rolfes, Ilona
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA), 2019, : 1283 - 1285
  • [42] Assessing the pavement subgrade by combining different non-destructive methods
    Marecos, Vania
    Solla, Mercedes
    Fontul, Simona
    Antunes, Vitor
    CONSTRUCTION AND BUILDING MATERIALS, 2017, 135 : 76 - 85
  • [43] The application of non-destructive methods in the diagnostics of the approach pavement at the bridges
    Miskiewicz, M.
    Lachowicz, J.
    Tysiac, P.
    Jaskula, P.
    Wilde, K.
    RESILIENT AND SAFE ROAD INFRASTRUCTURE, 2018, 356
  • [44] Verification of pavement construction characteristics measured with non-destructive methods
    Zgutova, K.
    Trojanova, M.
    Sramek, J.
    Blasko, M.
    ADVANCES AND TRENDS IN ENGINEERING SCIENCES AND TECHNOLOGIES II, 2017, : 853 - 858
  • [45] Destructive and non-destructive evaluation of copper diffusion bonds
    Kumar, S. Suresh
    Ravisankar, B.
    JOURNAL OF MANUFACTURING PROCESSES, 2016, 23 : 13 - 20
  • [46] NON-DESTRUCTIVE EVALUATION OF CONCRETE STRUCTURES BY NON-STATIONARY THERMAL WAVE IMAGING
    Mulaveesala, R.
    Panda, S. S. B.
    Mude, R. N.
    Amarnath, M.
    PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2012, 32 : 39 - 48
  • [47] Non-destructive Evaluation of Concrete Structures by Non-stationary Thermal Wave Imaging
    Mulaveesala, Ravibabu
    Panda, Soma Sekhara Balaji
    Mude, Rupla Naik
    Amarnath, Muniyappa
    THERMOSENSE: THERMAL INFRARED APPLICATIONS XXXIV, 2012, 8354
  • [48] A non-destructive method for prestress evaluation
    Azizinamini, A
    Mehrabi, AB
    Keller, B
    Rohde, J
    BUILDING AN INTERNATIONAL COMMUNITY OF STRUCTURAL ENGINEERS, VOLS 1 AND 2, 1996, : 900 - 907
  • [49] Modeling for quantitative non-destructive evaluation
    Achenbach, JD
    ULTRASONICS, 2002, 40 (1-8) : 1 - 10
  • [50] COMPLEMENTARY ELECTROMAGNETIC NON-DESTRUCTIVE EVALUATION
    Tian, Gui Yun
    Wilson, John
    Morozov, Maxim
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 30A AND 30B, 2011, 1335 : 1256 - 1263