Reconstruction of sub-wavelength fractures and physical properties of masonry media using full-waveform inversion of proximal penetrating radar
Autor: | Sébastien Lambot, Julien Minet, Claudio Patriarca, M.R. Mahmoudzadeh, Evert Slob |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Permittivity
Engineering 010504 meteorology & atmospheric sciences Acoustics Non-destructive testing 010502 geochemistry & geophysics 01 natural sciences law.invention Ground penetrating radar Optics law Nondestructive testing Waveform Radar 0105 earth and related environmental sciences business.industry Electromagnetic inverse problem Electric properties of concrete Masonry Inverse problem Wavelength Geophysics Ground-penetrating radar ddc:620 business Material characterization |
Zdroj: | Journal of applied geophysics 74, 26-37 (2011). doi:10.1016/j.jappgeo.2011.03.001 |
DOI: | 10.1016/j.jappgeo.2011.03.001 |
Popis: | High-frequency, ultra-wideband penetrating radar has the potential to be used as a non-invasive inspection technique for buildings, providing high-resolution images of structures and possible fractures affecting constructions. To test this possibility, numerical and laboratory experiments have been conducted using a proximal, stepped-frequency continuous-wave radar system operating in zero-offset mode, spanning the 3-8 GHz frequency range. The reconstruction of the material electrical properties is achieved by resorting to full-waveform inverse modeling. Numerical experiments showed that for typical electric permittivity and electrical conductivity values of concrete and plaster, it is possible to retrieve the physical properties of the material and to detect fractures less than 1 mm thick Laboratory experiments were conducted on non-reinforced concrete and plaster test slabs in different configurations. The results showed the good potential of this method: (1) to provide a thorough fracture response model in buildings or artworks and (2) to non-invasively characterize the samples in terms of their electromagnetic properties. (C) 2011 Elsevier B.V. All rights reserved. |
Databáze: | OpenAIRE |
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