Locating fatigue damage using temporal signal features of nonlinear Lamb waves

Hong, Minghui; Su, Zhongqing; Lu, Ye; Sohn, Hoon; Qing, Xinlin

doi:10.1016/j.ymssp.2015.01.020

Cited by 100 publications

(65 citation statements)

References 34 publications

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“…In this respect, techniques using nonlinear ultrasonic guided waves have shown great capability using nonlinear ultrasonic behaviour including higher harmonic generation, mixed frequency response, subharmonic generation, and nonlinear resonance. In the literature, nonlinear guided waves in plate‐like structures have been widely studied but the information is relatively limited for pipe structures, where higher harmonic generation and mixed frequency response methods have been mainly studied numerically and experimentally.…”

Section: Nonlinear Guided Waves In Pipesmentioning

confidence: 99%

Guided waves for damage identification in pipeline structures: A review

Guan

Duan

et al. 2017

Struct Control Health Monit

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Summary Guided waves find their niche in cost‐effective damage identification in comparison with conventional nondestructive evaluation. Comprehensive research has been conducted since the 1980s, focusing on the detection of a wide variety of types of damage in metallic and composite structures. The main scope of this paper is to present a review of state‐of‐the‐art guided wave‐based approaches for damage identification in pipeline structures. Theoretical analyses of the interaction between linear and nonlinear guided waves and damage are addressed in detail. Numerical simulations and experimental studies of damage identification in pipeline structures using both linear and nonlinear guided waves are elaborated. Other issues including bends in pipes, effects of environmental and operational conditions on the performance of guided waves are another focus of this review. Future challenge in this field is summarised at the end of this review.

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Section: Nonlinear Guided Waves In Pipesmentioning

confidence: 99%

Guided waves for damage identification in pipeline structures: A review

Guan

Duan

et al. 2017

Struct Control Health Monit

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“…If this is, indeed, the case, then the results indicate that the CAN dominates the material nonlinearity, otherwise β 0 would not have decreased for wave paths located further from the crack. Hong et al 57 use second harmonics for imaging fatigue damage at a rivet hole by using an array of disc transducers.…”

Section: Disc Transducersmentioning

confidence: 99%

Review of nonlinear ultrasonic guided wave nondestructive evaluation: theory, numerics, and experiments

2015

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Abstract. Interest in using the higher harmonic generation of ultrasonic guided wave modes for nondestructive evaluation continues to grow tremendously as the understanding of nonlinear guided wave propagation has enabled further analysis. The combination of the attractive properties of guided waves with the attractive properties of higher harmonic generation provides a very unique potential for characterization of incipient damage, particularly in plate and shell structures. Guided waves can propagate relatively long distances, provide access to hidden structural components, have various displacement polarizations, and provide many opportunities for mode conversions due to their multimode character. Moreover, higher harmonic generation is sensitive to changing aspects of the microstructures such as to the dislocation density, precipitates, inclusions, and voids. We review the recent advances in the theory of nonlinear guided waves, as well as the numerical simulations and experiments that demonstrate their utility. 1 Introduction Nonlinear ultrasonic nondestructive evaluation uses interrogation signals at frequencies other than the excitation frequency to detect changes in structural integrity and characterize degradation of materials. Nonlinear ultrasonic methodologies provide improved sensitivity to damage and the ability to identify incipient damage relative to linear methods. In general, linear ultrasonic methods provide good sensitivity to macroscale damage such as long fatigue cracks. However, in many cases, once damage appears at the macroscale, the remaining life is short, severely limiting maintenance decisions. Thus, characterization of incipient damage could facilitate a paradigm shift in operations of structural systems from schedule-based to condition-based maintenance that would ultimately enhance safety and reduce life cycle costs. Nonlinear ultrasonics is a broad discipline 1,2 which encompasses many specialized techniques reliant upon nonlinear material behavior to detect and/or characterize incipient damage. Some of these include nonlinear resonant ultrasound spectroscopy, 3 nonlinear elastic wave spectroscopy, 4-6 and second-harmonic generation.

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“…In many applications of guided waves that were to detect and predict crack growth, the SHM configurations and flaw locations were fixed. Although the usefulness of guided waves was exemplified [6][7][8][9], the sensitivity of the response (detection) to the configuration was not explored. As a result of part geometry, it was not always possible to replicate the same configuration in real-world use.…”

Section: Numerical Modeling Of Shm Signalsmentioning

confidence: 99%

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

et al. 2018

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Abstract:The validation of structural health monitoring (SHM) systems for aircraft is complicated by the extent and number of factors that the SHM system must demonstrate for robust performance. Therefore, a time-and cost-efficient method for examining all of the sensitive factors must be conducted. In this paper, we demonstrate the utility of using the simulation modeling environment to determine the SHM sensitive factors that must be considered for subsequent experiments, in order to enable the SHM validation. We demonstrate this concept by examining the effect of SHM system configuration and flaw characteristics on the response of a signal from a known piezoelectric wafer active sensor (PWAS) in an aluminum plate, using simulation models of a particular hot spot. We derive the signal responses mathematically and through the statistical design of experiments, we determine the significant factors that affect the damage indices that are computed from the signal, using only half the number of runs that are normally required. We determine that the transmitter angle is the largest source of variation for the damage indices that are considered, followed by signal frequency and transmitter distance to the hot spot. These results demonstrate that the use of efficient statistical design and simulation may enable a cost-and time-efficient sequential approach to quantifying sensitive SHM factors and system validation.

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Locating fatigue damage using temporal signal features of nonlinear Lamb waves

Cited by 100 publications

References 34 publications

Guided waves for damage identification in pipeline structures: A review

Guided waves for damage identification in pipeline structures: A review

Review of nonlinear ultrasonic guided wave nondestructive evaluation: theory, numerics, and experiments

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

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