2016
DOI: 10.1002/stc.1828
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Enhanced nonlinear crack-wave interactions for structural damage detection based on guided ultrasonic waves

Abstract: The paper presents a new damage-detection method based on nonlinear crack-wave interaction. Low-frequency vibration excitation is introduced to perturb damage, and high-frequency interrogating wave is used to detect damage-related nonlinearities. However, in contrast to other crack-wave interaction approaches, localised wave packets are used for high-frequency excitation. The synchronisation of the low-frequency vibration with the interrogating high-frequency wave packets is a key element of the proposed metho… Show more

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Cited by 42 publications
(28 citation statements)
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References 30 publications
(29 reference statements)
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“…Modulations of single and multiple ultrasonic pulses by LF vibration have been investigated in Didenkulov et al As a result, nonlinear scatters from cracks in aluminum and steel rods have been identified experimentally. A similar approach, based on an LF vibration excitation used to perturb damage and HF interrogating wave, was used to detect and localize fatigue crack in aluminum beam in Dziedziech et al The authors in Kazakov et al analyzed nonlinear wave scatters in solids using the analysis of nonlinear modulations of HF tone bursts by a continuous LF wave. Experimental verification of the proposed procedure has been demonstrated for a steel plate excited with an electromagnetic shaker and ultrasonic actuator shifted along one of the plate sides.…”
Section: Nonlinear Acoustics For Damage Detection and Localizationmentioning
confidence: 99%
“…Modulations of single and multiple ultrasonic pulses by LF vibration have been investigated in Didenkulov et al As a result, nonlinear scatters from cracks in aluminum and steel rods have been identified experimentally. A similar approach, based on an LF vibration excitation used to perturb damage and HF interrogating wave, was used to detect and localize fatigue crack in aluminum beam in Dziedziech et al The authors in Kazakov et al analyzed nonlinear wave scatters in solids using the analysis of nonlinear modulations of HF tone bursts by a continuous LF wave. Experimental verification of the proposed procedure has been demonstrated for a steel plate excited with an electromagnetic shaker and ultrasonic actuator shifted along one of the plate sides.…”
Section: Nonlinear Acoustics For Damage Detection and Localizationmentioning
confidence: 99%
“…Early developments on the use of the higher harmonics generated by CAN focused on determining the existence of the defects in the structures. In recent years, significant progress has been made towards using higher harmonic guided waves for damage detection, which demonstrated the feasibility of using them for detecting plastic strain, fatigue damage, micro-cracking and other types of material damages [44][45][46][47][48][49][50].…”
Section: Damage Detection Using Nonlinear Guided Wavesmentioning
confidence: 99%
“…Although extensive research works have been carried out on the use of higher harmonic for damage detection, there were very limited studies [49,50] focused on determining the location of the defects, especially for delamination in laminated composite materials using higher harmonic guided wave generated due to CAN. Kazakov et al [49] proposed a method to determine the location of a crack using high-frequency tone bursts modulated by a continuous low-frequency wave.…”
Section: Damage Detection Using Nonlinear Guided Wavesmentioning
confidence: 99%
“…Three fundamental tasks of the SHM techniques are detection, localization, and characterization of damage. There are many methods for SHM including acoustic emissions, vibration, laser scanning, digital imaging, electrical impedance, ultrasonic waves, thermal imaging, impact echo, and eddy current . For the purpose of damage detection, a large number of damage indices (DI) has been developed, which make it possible to determine the existence of damage and monitor its further propagation in time.…”
Section: Introductionmentioning
confidence: 99%