Influence of GPR Antenna Frequency in Moisture Determination of Asphalt Pavements

被引：0
|
作者：
Plati, Christina [1 ]
Georgiou, Panos [1 ]
Loizos, Andreas [1 ]
机构：
[1] Natl Tech Univ Athens, Dept Transportat Planning & Engn, Athens, Greece
来源：
2018 41ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2018年
关键词：
asphalt pavement; GPR antenna frequency; moisture; permittivity; WATER-CONTENT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The present study investigates the impact of antenna frequency on the determination of in-situ moisture within the asphalt pavement layers using GPR. According to the international experience, the electric permittivity of the asphalt layer has been related with the moisture content of the asphalt material. This relationship is used to assess the moisture content in the asphalt pavement layer of a highway section utilizing a GPR system. The system was operated with two antennae, of 1 and 2 GHz central frequency. The GPR data were analyzed to define the electric permittivity as a variable of the moisture content of the asphalt material. A comparative analysis is applied focusing on the differences between the 1 and 2 GHz readings in terms of electric permittivity values that are used for the calculation of moisture content. The related findings suggests that there is the need to develop a standardized procedure to assess the asphalt material moisture with GPR defining, amongst others, the required antenna frequency.
引用
收藏
页码：162 / 165
页数：4
相关论文
共 50 条
  • [1] The influence of moisture on the detection of de-bonding in asphalt pavements using Ground Penetrating Radar (GPR)
    Evans, R. D.
    Rahman, M.
    ADVANCES IN TRANSPORTATION GEOTECHNICS II, 2012, : 516 - 521
  • [2] GPR Spectra for Monitoring Asphalt Pavements
    Pedret Rodes, Josep
    Martinez Reguero, Adriana
    Perez-Gracia, Vega
    REMOTE SENSING, 2020, 12 (11)
  • [3] Diagnosis of moisture damage in asphalt pavements
    Canning, JS
    Niezrecki, C
    Birgisson, B
    SMART STRUCTURES AND MATERIALS 2004: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS, 2004, 5391 : 679 - 686
  • [4] Automatic detection of moisture damages in asphalt pavements from GPR data with deep CNN and IRS method
    Zhang, Jun
    Yang, Xing
    Li, Weiguang
    Zhang, Shaobo
    Jia, Yunyi
    AUTOMATION IN CONSTRUCTION, 2020, 113
  • [5] Climate zoning for moisture damage of asphalt pavements in China
    Miao, Ying-Hao
    Wang, Bing-Gang
    Li, Chao
    Gupta, Pramod Kumar
    Chang'an Daxue Xuebao (Ziran Kexue Ban)/Journal of Chang'an University (Natural Science Edition), 2008, 28 (01): : 26 - 31
  • [6] Uncertainties of asphalt layer thickness determination in flexible pavements influence diagram approach
    Attoh-Okine, NO
    Roddis, WMK
    CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 1998, 15 (02) : 107 - 124
  • [7] Nondestructive Testing in asphalt pavements using Ground Penetrating Radar (GPR)
    Francoso, Maria Teresa
    Mota, Carolina Oyanna
    Sugahara Medeiros Lima, Tadeu Rosanti
    Peixoto, Creso de Franco
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 525 - +
  • [8] Influence of recycled asphalt shingles on fatigue properties of asphalt pavements
    Cascione, A. A.
    Williams, R. C.
    FOUR-POINT BENDING, 2012, : 159 - 170
  • [9] Determination of depth of surface cracks in asphalt pavements
    Underwood, S
    Kim, YR
    PAVEMENT MANAGEMENT AND RIGID AND FLEXIBLE PAVEMENT DESIGN 2003: PAVEMENT DESIGN, MANAGEMENT, AND PERFORMANCE, 2003, (1853): : 143 - 149
  • [10] Assessment of the density and moisture content of asphalt mixtures of road pavements
    Fernandes, Francisco M.
    Fernandes, Andreia
    Pais, Jorge
    CONSTRUCTION AND BUILDING MATERIALS, 2017, 154 : 1216 - 1225
12345