2022
DOI: 10.3390/app12147130
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Applications of Stretching Technique and Time Window Effects on Ultrasonic Velocity Monitoring in Concrete

Abstract: Coda wave interferometry (CWI) has been used to measure the relative wave-velocity change (dV/V) caused by small changes in materials. This study uses the stretching processing technique which has been used for CWI analysis to investigate velocity changes of direct longitudinal (P) wave, direct shear (S) wave, and coda wave in concrete by choosing different time windows of ultrasonic signals. It is found that the obtained wave-velocity change depends on the time window position, because the relative contributi… Show more

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Cited by 15 publications
(6 citation statements)
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“…These curves could serve as the basis for translation of multidimensional fields of velocity variations into stress changes and damage, even for more-than-one-dimensional stress states and on larger specimen scales beyond our investigations. We calculated the relation between velocity variation of the full-length ultrasonic signals for both uniaxial compression and uniaxial tension using a linear regression for elastic material behavior up to 30% of the respective stress which agrees with previous studies [ 4 , 6 , 27 ]. Furthermore, we evaluated shrinkage and creep processes equally by means of and to indicate long-term changes to the ultrasonic signals.…”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…These curves could serve as the basis for translation of multidimensional fields of velocity variations into stress changes and damage, even for more-than-one-dimensional stress states and on larger specimen scales beyond our investigations. We calculated the relation between velocity variation of the full-length ultrasonic signals for both uniaxial compression and uniaxial tension using a linear regression for elastic material behavior up to 30% of the respective stress which agrees with previous studies [ 4 , 6 , 27 ]. Furthermore, we evaluated shrinkage and creep processes equally by means of and to indicate long-term changes to the ultrasonic signals.…”
Section: Discussionsupporting
confidence: 84%
“…Reinforced concrete, however, poses a special challenge for NDT techniques due to the material’s heterogeneity, which complicates the separation between naturally present scatterers and undesired material changes, or damage. To this end, the evaluation of ultrasonic signals by means of Coda Wave Interferometry (CWI) is a promising and exceptionally sensitive method to detect even weak changes in the material and has been subject to previous studies on both the laboratory [ 2 , 3 , 4 , 5 , 6 ], and the structural scale [ 7 , 8 , 9 , 10 ]. It is suitable for application as a permanent monitoring system with the focus on the early warning of microcrack initiation, and possibly providing the impulse for further in-depth inspections at alarming locations.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the window [0.05, 0.15 ms] of the P-wave part is used for the wave velocity change analysis using the stretching technique. 30…”
Section: Signal Processing For Wave Velocity Analysismentioning
confidence: 99%
“…Therefore, the window [0.05, 0.15 ms] of the P-wave part is used for the wave velocity change analysis using the stretching technique. 30 Niederleithinger and Wang et al 31,32 proposed the stepwise CWI method to calculate significant velocity changes in long-term monitoring data with large temperature variations. CWI is applied to each segment of slow-changing signals and changes the reference signal when the coherence drops below a certain threshold.…”
Section: Challenges With Cwimentioning
confidence: 99%
“…However, there have been limited studies on the direct judgment of the nondestructive evaluation (NDE) based on various criteria of numerous data. Most NDE studies have focused on determining and verifying the extent of concrete deterioration using single or multiple NDE methods [ 11 , 12 , 13 ]. Furthermore, the NDE methods have relied on various physical phenomena, such as ultrasonic, electrical, strain, and thermal, to identify specific indicators of the degradation process.…”
Section: Introductionmentioning
confidence: 99%