1999
DOI: 10.1117/12.339927
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<title>Acoustic inspection of concrete bridge decks</title>

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Cited by 14 publications
(7 citation statements)
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“…Popular NDT methods include, but are not limited to: visual inspection and photographic recording, half-cell electrochemical potential, impulse type multipoint, scanning ground penetrating radar, chain drag, and impact echo. Tapping on the surface of structural elements with a hammer or metal rod and/or dragging a chain-bar across the bridge deck requires a 'calibrated' ear to determine the difference between good and bad concrete (Henderson et al 1999). To deal with human uncertainty associated with bridge inspections, Tarighat and Miyamoto (2009) used fuzzy inputs with membership functions found from statistical data and then calculated the fuzziness of the condition rating in the fuzzy inference systems.…”
Section: Introductionmentioning
confidence: 99%
“…Popular NDT methods include, but are not limited to: visual inspection and photographic recording, half-cell electrochemical potential, impulse type multipoint, scanning ground penetrating radar, chain drag, and impact echo. Tapping on the surface of structural elements with a hammer or metal rod and/or dragging a chain-bar across the bridge deck requires a 'calibrated' ear to determine the difference between good and bad concrete (Henderson et al 1999). To deal with human uncertainty associated with bridge inspections, Tarighat and Miyamoto (2009) used fuzzy inputs with membership functions found from statistical data and then calculated the fuzziness of the condition rating in the fuzzy inference systems.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, we can imagine various techniques such as detection of concrete bridge-deck delamination by thermal method, inspection of bridge decks by ground penetrating radar (GPR), GPR for pavement inspection, acoustic inspection of concrete bridge decks, conventional NDE method like visual testing, etc. [2][3][4][5] .…”
Section: Introductionmentioning
confidence: 99%
“…Previous sounding studies [5,12,16] mentioned that identification of hollow sound relies on the features of frequency spectra. Sets of impact sounding data are "trained" to identify damaged condition which is similar to human's logicbased identification.…”
Section: Feature Extractionmentioning
confidence: 99%
“…Henderson et al [12] developed an automatic chain dragging system (ACDS) which can record, analyze, and evaluate the concrete bridge deck condition. The system records chain drag sound using microphone and filter it based on linear prediction coefficients (LPC).…”
Section: Impact Sound Analysismentioning
confidence: 99%
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