Detecting broken-wire flaws at multiple locations in the same wire of prestressing strands using guided waves

Xu, Jianyuan; Wu, Xiaowen; Sun, Pengfei

doi:10.1016/j.ultras.2012.05.003

“…Using equation (10), the depth of the damage is identified (level III) by comparing the amplitude of the reflected longitudinal wave with the amplitude of the incident wave and by using the relation between the scattering coefficient and the notch depth shown in Figure 4(b). The reflection coefficient s refl, C = V max, C V max, A then leads to a crack depth of 46 % of the wire's diameter, which is close to the real crack size.…”

Section: Damage Detection In Individual Wiresmentioning

confidence: 99%

“…Using guided ultrasonic waves, a thorough damage assessment is possible. 10 In addition to the detection of damage, localization can be achieved by a time-of-flight analysis, that is, in combination with known wave speeds, the distance between the damage and the sensor can be determined. Such analyses are often performed using the short-time Fourier transform (STFT) or wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Damage detection in multi-wire cables using guided ultrasonic waves

Schaal

¹

,

Bischoff

²

,

Gaul

³

2016

Structural Health Monitoring

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Structural Health Monitoring systems are developed to cost-efficiently prevent failure of mechanical and civil structures, and to predict the structure's residual life. In this work, a damage detection algorithm based on the Hilbert transform of the recorded signals from induced guided ultrasonic waves is presented. By means of this algorithm, damage localization in multi-wire cables is performed through a time-of-flight analysis of the wave packets. The algorithm is fully automated and distinguishes between wave packets from different waves independently. Its applicability is analyzed for laboratory experiments on a single cylindrical wire and on multi-wire cables. As an additional damage indicator, second harmonic waves are evaluated. Furthermore, the possibility to perform damage identification by evaluating the waves' amplitudes is analyzed. The amplitudes are compared with reference data from a novel hybrid finite-boundary element method.

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“…The longitudinal guided wave was then be generated in the pipe via the magnetostrictive effect [11]- [14]. When the stress is proportional to the strain, the following simple expression for the total strain energy stored in the pipe can be expressed as…”

Section: Magnetostrictive Guided Wave and Signal Processing A Mamentioning

confidence: 99%

“…According to (11) and (12), if t is equal to t d , then the output of the matched filter of V (t) is given by…”

Section: B Signal Processingmentioning

confidence: 99%

A Magnetostrictive Guided-Wave Nondestructive Testing Method With Multifrequency Excitation Pulse Signal

Zhang

¹

,

Zhou

²

,

Sun³

et al. 2014

IEEE Trans. Instrum. Meas.

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As a rapid, noncontact, and nondestructive technology, magnetostrictive guided waves have been widely used for the quality inspection of pipes and stay cables. Traditionally, a singlefrequency signal with a high amplitude and a long pulse duration is used to increase the excitation energy and detection distance. However, the longer the pulse duration of a single-frequency signal is, the lower the resolution of adjacent defects and the accuracy of defect location will be. A novel method of addressing this problem is proposed in this paper. An encoded multifrequency excitation signal, whose frequency range is selected from a calculated dispersion curve, is used to excite the guided wave. After passing through the signal-conditioning board, the detected defect signals are sampled, averaged, and then filtered using a matched filter. In this manner, the pulse width of echoes can be greatly compressed. Our experimental results demonstrate that our proposed method can improve the resolution of adjacent defects and the accuracy of defect location in the propagation direction of the magnetostrictive guided wave.

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“…(e.g. Xu et al 10 ) In addition to the detection of damage, localization can be achieved by a time-of-flight analysis: i.e., in combination with known wave speeds, the distance between the damage and the sensor can be determined. Such analyses are often performed using the short-time Fourier transform (STFT) or wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Erratum

2016

Structural Health Monitoring

0

View full text Add to dashboard Cite

Structural Health Monitoring systems are developed to cost-efficiently prevent failure of mechanical and civil structures, and to predict the structure's residual life. In this work, a damage detection algorithm based on the Hilbert transform of the recorded signals from induced guided ultrasonic waves is presented. By means of this algorithm, damage localization in multi-wire cables is performed through a time-of-flight analysis of the wave packets. The algorithm is fully automated and distinguishes between wave packets from different waves independently. Its applicability is analyzed for laboratory experiments on a single cylindrical wire and on multi-wire cables. As an additional damage indicator, second harmonic waves are evaluated. Furthermore, the possibility to perform damage identification by evaluating the waves' amplitudes is analyzed. The amplitudes are compared with reference data from a novel hybrid finite-boundary element method.

show abstract

Detecting broken-wire flaws at multiple locations in the same wire of prestressing strands using guided waves

Cited by 34 publications

References 29 publications

Damage detection in multi-wire cables using guided ultrasonic waves

Damage detection in multi-wire cables using guided ultrasonic waves

A Magnetostrictive Guided-Wave Nondestructive Testing Method With Multifrequency Excitation Pulse Signal

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