IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i12p2320-d122762.html
   My bibliography  Save this article

Experimental Study on Electrode Method for Electrical Resistivity Survey to Detect Cavities under Road Pavements

Author

Listed:
  • Chang-Seon Park

    (Department of Civil Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 22212, Korea
    Currently Bridge & Tunnel Safety Section, Safety Division, Korea Infrastructure Safety & Technology Corporation, 16 123 Sadeul-ro, Gyeongsangnam-do, Jinju 52852, Korea)

  • Jin-Hoon Jeong

    (Department of Civil Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 22212, Korea)

  • Hae-Won Park

    (Department of Civil Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 22212, Korea)

  • Kyoungchul Kim

    (R&D Center, KOLON Global Corporation, 32 Songdogwahak-ro, Yeonsu-gu, Incheon 21984, Korea)

Abstract

There are two types of electrode methods for electrical resistivity survey (ERS): the pole electrode method (PEM) and flat electrode method (FEM). During the past few decades, most studies were conducted by using PEM for various purposes while only a few were conducted by using FEM. Laboratory and field experiments were performed in this study to investigate the advantage of FEM in detecting cavities under pavements. In the laboratory experiment, the results of PEM and FEM were compared graphically and statistically. A significant difference between the results of PEM and FEM was observed for concrete at an age of seven days, while there was no significant difference in the results for soil materials. Electrical resistivity could not be obtained from asphalt because it is an insulator. In a field experiment, four different cases were simulated: field ground with/without cavity and concrete pavement with/without cavity. The results of PEM and FEM for these cases were compared using 2D electrical resistivity contour images. It was observed that the distribution of electrical resistivity obtained using FEM was wider than that using PEM. Moreover, the locations of the cavities artificially made in the ground and under the pavement were accurately detected using both PEM and FEM.

Suggested Citation

  • Chang-Seon Park & Jin-Hoon Jeong & Hae-Won Park & Kyoungchul Kim, 2017. "Experimental Study on Electrode Method for Electrical Resistivity Survey to Detect Cavities under Road Pavements," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2320-:d:122762
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/12/2320/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/12/2320/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2320-:d:122762. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.