Quantification and imaging of corrosion wall thinning using shear horizontal guided waves generated by magnetostrictive sensors

This study presents a novel method for composite damage identification using Lamb wave. A probabilistic integration of the elliptical loci method and the RAPID (reconstruction algorithm for probabilistic inspection of defects) in a Bayesian framework is proposed. The proposed method allows for the incorporation of multiple damage sensitive features in a rational manner to improve the reliability and robustness for a given array of sensors. Numerical studies are performed to verify the effectiveness of the proposed method and to compare its accuracy with existing methods. Experimental investigation using a realistic composite plate is made to further validate the proposed method. The influence of damage location and the number of participating sensors on the performance of the proposed method is discussed. Results indicate that the proposed method yields more accurate and reliable results comparing with existing methods.

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“…In the conventional RAPID, β is usually set around 1.0, but such a treatment is not always suitable for all cases in engineering practice. 28,33…”

Section: Methodology Developmentmentioning

confidence: 99%

A Bayesian fusion method for composite damage identification using Lamb wave

Huo

Guan

2020

Structural Health Monitoring

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“…Liu et al (2016) and Wu et al (2014) have optimized the unit weight density function of the grids and the sensor network assignment of the PDI methods to gain the good damage inspection results. Li and Cho (2015) and Sheen and Cho (2012) have corrected the shape factor of the PDI methods united with ultrasonic guided wave to effectively discern the single corrosion and penetration hole defect in the plate-like structure. In addition, the shape factor b is of great significance for the establishment of damage recognition image in the PDI method confirmed by many studies (Li and Cho, 2015;Liu et al, 2016;Wang et al, 2009Wang et al, , 2010aWang et al, , 2010bWu et al, 2014;Zhou et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Li and Cho (2015) and Sheen and Cho (2012) have corrected the shape factor of the PDI methods united with ultrasonic guided wave to effectively discern the single corrosion and penetration hole defect in the plate-like structure. In addition, the shape factor b is of great significance for the establishment of damage recognition image in the PDI method confirmed by many studies (Li and Cho, 2015;Liu et al, 2016;Wang et al, 2009Wang et al, , 2010aWang et al, , 2010bWu et al, 2014;Zhou et al, 2011). However, the shape factor of conventional PDI approach is empirically chosen and maintains unchanged at all transducer paths (Liu et al, 2016;Wu et al, 2014;Zhou et al, 2011;Zhu et al, 2021), it does not accurately estimate the defect zone.…”

Section: Introductionmentioning

confidence: 99%

“…However, the shape factor of conventional PDI approach is empirically chosen and maintains unchanged at all transducer paths (Liu et al, 2016;Wu et al, 2014;Zhou et al, 2011;Zhu et al, 2021), it does not accurately estimate the defect zone. Moreover, the corrected shape factor of the PDI method mostly focused on the investigation of the single defect and plate-like specimen (Li and Cho, 2015;Liu et al, 2016). There were rare studies on the propagation of various defects and different types of multi-defects detection on the complex cross-section composite structures.…”

Section: Introductionmentioning

confidence: 99%

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Identification of multi-defects in an arched composite structure by the corrected probabilistic diagnostic imaging with the fused damage index

Jin

et al. 2021

Journal of Intelligent Material Systems and Structures

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Due to the complicacy of geometry and structure in the arched composite structure, it is difficult to monitor various kinds of defects accurately. The developed damage probabilistic diagnostic imaging approach based on ultrasonic guided wave energy signal characteristics is very feasible for the structural health monitoring in the arched composite structures. However, the conventional probabilistic diagnostic imaging (PDI) approaches united with the signal energy damage indices ( DIs) have some limitations in the identification of the number, location and specific size information of multi-defects. Thus, the damage shape factor from the single damage-impaired path imminently demands to be majorized to raise the precision and stability of PDI approach in the damage recognition. A corrected probabilistic diagnostic imaging (CPDI) approach integrated with the damage shape factor [Formula: see text] needs to be recommended to precisely inspect the expansion of defect zones and different multi-defects in the arched composite structure. The availability and feasibility of the proposed methods has been validated by the experiments in the tested specimen. The results show that the fused frequency-domain energy DIs can be applied to indicate the expansion of defect zones quantitatively. It is proved that the defect identification accuracy of multi-defects from the CPDI approach can be improved by the majorization of damage shape factor, effectively. It is also clearly observed that the number, location and specific size information of different conditions of multi-defects can be distinguished by using the CPDI algorithm, availably.

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“…Rayleigh waves can be generated by angle beam wedge transducers [ 6 , 7 ], comb transducers [ 8 , 9 ], interdigital transducers [ 10 ], etc.. Regarding an angle wedge transducer, a bulk longitudinal wave transducer is placed on a wedge of a low speed material with a certain angle.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Rayleigh Wave Beams Using Angle Beam Wedge Transducers as the Transmitter and Receiver with Consideration of Beam Spreading

Zhang

Jeong

2017

Sensors

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A theoretical model, along with experimental verification, is developed to describe the generation, propagation and reception of a Rayleigh wave using angle beam wedge transducers. The Rayleigh wave generation process using an angle beam wedge transducer is analyzed, and the actual Rayleigh wave sound source distributions are evaluated numerically. Based on the reciprocity theorem and considering the actual sound source, the Rayleigh wave beams are modeled using an area integral method. The leaky Rayleigh wave theory is introduced to investigate the reception of the Rayleigh wave using the angle beam wedge transducers, and the effects of the wave spreading in the wedge and transducer size are considered in the reception process. The effects of attenuations of the Rayleigh wave and leaky Rayleigh wave are discussed, and the received wave results with different sizes of receivers are compared. The experiments are conducted using two angle beam wedge transducers to measure the Rayleigh wave, and the measurement results are compared with the predictions using different theoretical models. It is shown that the proposed model which considers the wave spreading in both the sample and wedges can be used to interpret the measurements reasonably.

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Quantification and imaging of corrosion wall thinning using shear horizontal guided waves generated by magnetostrictive sensors

Cited by 21 publications

References 21 publications

A Bayesian fusion method for composite damage identification using Lamb wave

A Bayesian fusion method for composite damage identification using Lamb wave

Identification of multi-defects in an arched composite structure by the corrected probabilistic diagnostic imaging with the fused damage index

Measurement of Rayleigh Wave Beams Using Angle Beam Wedge Transducers as the Transmitter and Receiver with Consideration of Beam Spreading

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