2011
DOI: 10.1016/j.jappgeo.2011.06.003
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Void detection beneath reinforced concrete sections: The practical application of ground-penetrating radar and ultrasonic techniques

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Cited by 91 publications
(32 citation statements)
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References 21 publications
(24 reference statements)
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“…Acoustic Imaging (sound and ultrasound waves) can be used at similar scales to x-ray imaging, and has the advantage of not needing a potentially hazardous source behind any surface to be investigated [33]. Imagery can be obtained over a larger area more rapidly than x-ray imaging, is typically good to centimetres and decimetres but requires careful…”
Section: Engineering Anthropology/archaeology Nondestructive Methodsmentioning
confidence: 99%
“…Acoustic Imaging (sound and ultrasound waves) can be used at similar scales to x-ray imaging, and has the advantage of not needing a potentially hazardous source behind any surface to be investigated [33]. Imagery can be obtained over a larger area more rapidly than x-ray imaging, is typically good to centimetres and decimetres but requires careful…”
Section: Engineering Anthropology/archaeology Nondestructive Methodsmentioning
confidence: 99%
“…An increase of the signal amplitude will be observed corresponding to the presence of cracks. Basing on this, it is possible to extract the spatial geometry of a crack from a GPR tomography …”
Section: Crack Inspectionmentioning
confidence: 99%
“…In our present research, this mechanism is used to study underground water leakages. GPR also allows efficient and high‐resolution assessment of hazards like subsurface voids and washouts (e.g., Cassidy, Eddies and Dods ; Lai, Chang and Sham ; Nobes ). This is because the physical contact between the sensors and the objects is not required in GPR, in contrast to some acoustic methods such as leak noise correlator or pipe cable detectors (Liu and Kleiner ).…”
Section: Introductionmentioning
confidence: 99%
“…GPR has been used on different pavement materials including asphalt, concrete pavements and block pavements in road networks in most densely populated cities (e.g., Loizos and Plati ; Cassidy et al . ; Shangguan et al . ; Yehia et al .…”
Section: Introductionmentioning
confidence: 99%