• DocumentCode
    1724346
  • Title

    Intelligent system for non-destructive evaluation of historic walls using Ground-Penetrating Radar

  • Author

    Safont, Gonzalo ; Salazar, Addisson ; Gosalbez, Jorge ; Vergara, Luis

  • Author_Institution
    Inst. de Telecomun. y Aplic. Multimedia, Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a novel system for application in evaluation of ashlar masonry walls inspected with Ground Penetrating Radar (GPR). The system includes the following processing of the GPR signal: elimination of the background from the backscattered signals; depth resolution enhancing; automatic gain control for visualization; and automatic generation of B-Scans (radargrams) of the internal state of the wall. Inhomogeneities in the structure of the wall are detected from the B-Scans. Several experiments were made on scale models of historic ashlar masonry walls. Controlled loads with different weights were applied on the walls, and the corresponding B-Scans were obtained. It is demonstrated the capability of the system for the detection of nook and crack flaws, and for characterizing the deformations of the walls under different steps of weight loads.
  • Keywords
    ground penetrating radar; nondestructive testing; radar detection; walls; B-Scans; GPR signal; automatic gain control; backscattered signal; ground-penetrating radar; historic ashlar masonry walls; intelligent system; nondestructive evaluation; Algorithm design and analysis; Gain control; Geologic measurements; Ground penetrating radar; Nonhomogeneous media; Reflection; GPR; ICA; NDE; flaw detection; historic walls;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetic Intelligent Systems (CIS), 2010 IEEE 9th International Conference on
  • Conference_Location
    Reading
  • Print_ISBN
    978-1-4244-9023-3
  • Electronic_ISBN
    978-1-4244-9024-0
  • Type

    conf

  • DOI
    10.1109/UKRICIS.2010.5898153
  • Filename
    5898153