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Based on linear (time of flight (TOF) and energy) and nonlinear temporal features of guided waves, damage indices (DIs) are respectively constructed, which are used to locate fatigue damage near a rivet hole of an aluminum plate. The accuracy and effectiveness of the techniques substantially rely on the means of the defined DI at each path, thus, there is an increasing interest in introducing DI for guided wave-based SHM. The ultrasonic guided waves methods based on damage indices (DIs) have become research hotspots in the field of damage detection over the years, which aim to highlight the variations of structural fatigue cracks.
Hp d2460 printer crack#
Therefore, signal features processing and analysis associated with the frequency domain are then extracted to characterize the fatigue crack propagation, because the signal features in the frequency domain are more stable, accurate, and recognizable than those of the temporal domain. Although most approaches of temporal features have the capacity to locate fatigue cracks, characterizing the orientation and size of fatigue cracks accurately still remains an extremely challenging task, because small-scale fatigue cracks can lead to a feeble signal difference for the damage-scattered waves in the time domain. The scattering and attenuation of ultrasonic guided waves caused by fatigue cracks are applied to quantify the cracks’ growth. Meanwhile, acoustic emission (AE) technology is widely used for continuously monitoring fatigue cracks, and AE-based fatigue crack evaluation techniques are exploited based on counting the number of signals allured by crack propagation. More research studies of temporal signal features primarily focus on the magnitude-based and energy-based signals, wave reflections or transmissions, energy dissipation, and mode conversions. The majority of current guided wave-based non-destructive testing (NDT) and structural health monitoring (SHM) techniques have been proposed for monitoring crack propagation in different engineering structures, which exploit the variations from temporal features associated with baseline signals. Therefore, the early perception of small-scale fatigue cracks has become a critical measure to ensure the durability, reliability, and integrity of engineering structures. Under repetitive loads, the macrocracks can be further propagated to a crucial level at an amazing rate without sufficient warning, causing detrimental effects on structural integrity and potentially resulting in catastrophic consequences. Under cyclic loads, fatigue cracks at the scale of a few micrometers are then accumulated into microcracks by accumulation, which can deteriorate continuously and eventually amalgamate to form macrocracks. It is reported that up to 90% of the failures of in-service metallic structures are typically caused by fatigue cracks, and the formation of an initial fatigue crack does not necessarily result in immediate failure for the real-world structure. It is also clear that the linear and differential amplitude fusion DIs in the frequency domain are more promising to indicate the propagation of fatigue cracks quantitatively than other fused ones.įatigue cracks, which originate from a damaged precursor at an imperceptible level under repetitive loading, is one of the cardinal reasons for the failure of metallic structures. It is found that the fused DIs calculated by the acoustic features in the frequency domain have an improved reliable manner over those of the time domain. The experimental results show that the hybrid DIs from various acoustic features can be used to quantitatively characterize the propagation of fatigue cracks, respectively. An experiment is conducted on an SMA490BW steel plate-like structure to verify the proposed hybrid DIs scheme. A hybrid DI scheme for monitoring fatigue crack propagation is proposed using the linear fusion of damage indices (DI s) and differential fusion of DIs. The objective of this paper is to characterize the propagation of fatigue cracks using the damage index (DI) calculated by various acoustic features of ultrasonic guided waves. Therefore, there is a demand to develop a reliable technique to monitor fatigue cracks quantitatively at an early stage. Under cyclic and repetitive loads, fatigue cracks can be further propagated to a crucial level by accumulation, causing detrimental effects to structural integrity and potentially resulting in catastrophic consequences.