Guided wave inspection of bars in reinforced-concrete beams using surface-mounted vibration sensors
Guided wave inspection of bars in reinforced-concrete beams using surface-mounted vibration sensors
Steel reinforcement bars (rebars) in concrete structures are inaccessible and not conducive to many inspection methods. This paper proposes a non-invasive technique based on guided waves for detecting localised abnormalities in rebars embedded in concrete beams. The technique is predicated on previously published observations that guided waves are strongly reflected by discontinuities at the frequency at which they begin to propagate, i.e., at cut-on. The reflection coefficient at cut-on is estimated using a simple wave decomposition in which a near-zero wavenumber value is assumed. A simulated study is first carried out to evaluate the technique on a concrete beam featuring four rebars. The wave finite element approach is adopted to model two uniform beams which are coupled via a short, damaged section modelled in conventional finite element analysis. Estimated reflection coefficients arising from the discontinuity are close to the true values at cut-on and independent of frequency elsewhere, so that no prior knowledge of cut-on frequencies is required. Three steel-reinforced concrete beams were fabricated—one uniform and two with localised rebar damage—and reflection coefficients were estimated from measured transfer functions. As predicted, abrupt deviations in the reflection coefficient occurred at cut-on frequencies for both damaged beams.
guided waves, reinforced concrete, damage, non-destructive evaluation
343-356
El Masri, Evelyne
43727a4d-57a0-4ebb-be41-54114061818b
Waters, Timothy
348d22f5-dba1-4384-87ac-04fe5d603c2f
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
December 2020
El Masri, Evelyne
43727a4d-57a0-4ebb-be41-54114061818b
Waters, Timothy
348d22f5-dba1-4384-87ac-04fe5d603c2f
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
El Masri, Evelyne, Waters, Timothy and Ferguson, Neil
(2020)
Guided wave inspection of bars in reinforced-concrete beams using surface-mounted vibration sensors.
Vibration, 3 (4), .
(doi:10.3390/vibration3040023).
Abstract
Steel reinforcement bars (rebars) in concrete structures are inaccessible and not conducive to many inspection methods. This paper proposes a non-invasive technique based on guided waves for detecting localised abnormalities in rebars embedded in concrete beams. The technique is predicated on previously published observations that guided waves are strongly reflected by discontinuities at the frequency at which they begin to propagate, i.e., at cut-on. The reflection coefficient at cut-on is estimated using a simple wave decomposition in which a near-zero wavenumber value is assumed. A simulated study is first carried out to evaluate the technique on a concrete beam featuring four rebars. The wave finite element approach is adopted to model two uniform beams which are coupled via a short, damaged section modelled in conventional finite element analysis. Estimated reflection coefficients arising from the discontinuity are close to the true values at cut-on and independent of frequency elsewhere, so that no prior knowledge of cut-on frequencies is required. Three steel-reinforced concrete beams were fabricated—one uniform and two with localised rebar damage—and reflection coefficients were estimated from measured transfer functions. As predicted, abrupt deviations in the reflection coefficient occurred at cut-on frequencies for both damaged beams.
Text
Guided Wave Inspection of Bars in Reinforced-Concrete Beams Using Surface-Mounted Vibration Sensors
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Accepted/In Press date: 23 September 2020
e-pub ahead of print date: 27 September 2020
Published date: December 2020
Keywords:
guided waves, reinforced concrete, damage, non-destructive evaluation
Identifiers
Local EPrints ID: 444302
URI: http://eprints.soton.ac.uk/id/eprint/444302
ISSN: 2571-631X
PURE UUID: 57c8b6f8-6aec-4b1b-a259-b1c79f5c090d
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Date deposited: 12 Oct 2020 16:30
Last modified: 17 Mar 2024 02:32
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Author:
Evelyne El Masri
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