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Highly Sensitive Damage Detection of Reinforced Concrete Bridge Slab by "Time-Variant Deconvolution" of SHF-Band Radar Signal

 Highly Sensitive Damage Detection of Reinforced Concrete Bridge Slab by "Time-Variant Deconvolution" of SHF-Band Radar Signal
Autor(en): , ,
Beitrag für IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018, veröffentlicht in , S. S6-45
DOI: 10.2749/nantes.2018.s6-45
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In this paper, we focus on Ground Penetrating Radar (GPR) for the monitoring of reinforced concrete (RC) bridge slab. Though GPR method is non-contact and high-speed, damage detection accuracy depe...
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Bibliografische Angaben

Autor(en): (University of Tokyo, Tokyo, Japan)
(University of Tokyo, Tokyo, Japan)
(C. E. Management Integrated Laboratory Co. Ltd., Osaka, Japan)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018
Veröffentlicht in:
Seite(n): S6-45 Anzahl der Seiten (im PDF): 9
Seite(n): S6-45
Anzahl der Seiten (im PDF): 9
DOI: 10.2749/nantes.2018.s6-45
Abstrakt:

In this paper, we focus on Ground Penetrating Radar (GPR) for the monitoring of reinforced concrete (RC) bridge slab. Though GPR method is non-contact and high-speed, damage detection accuracy depends on inspectors’ skill. Furthermore, the spatial resolution of the system is not enough considering the millimeter-order thickness of target cracks. In this paper, a new algorithm based on deconvolution with the attenuation effect of concrete, “time-variant deconvolution” is proposed, and the effect of the algorithm and frequency range on damage detection accuracy is discussed by real bridge slab model utilizing higher frequency (SHF-band) radar system. When the algorithm was applied to 1 mm horizontal crack above the rebar, only by time-variant deconvolution at SHF-band, dried crack was detectable by its positive-negative peak of the estimated distribution of reflection coefficient at appropriate depth and crack with water was detected by its clear negative peak.

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