Lamb wave-based damage assessment for CFRP composite structures using a CHMM-based damage localization algorithm and a damage quantitative expression

Zeng, Xianlin; Zhao, Bowen; Liu, Xiao; Yu, Yinghong; Guo, Jiahui; Qing, Xinlin

doi:10.1016/j.ymssp.2022.109750

Cited by 14 publications

(2 citation statements)

References 26 publications

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“…To solve this equation, numerical solutions are integrated with boundary conditions by either the global matrix method or the transfer matrix method. The dispersion characteristics of the composite laminate can be acquired [36], while the dispersion curve serves to characterize the propagation features of Lamb waves. This curve is crucial for selecting the center frequency of Lamb wave detection [26,37].…”

Section: Dispersion Characteristics Of Lamb Wavesmentioning

confidence: 99%

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Lu,

Zheng,

Zhang

et al. 2024

Smart Mater. Struct.

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This investigation addresses the issue of damage detection and localization in wind turbine blade laminates. This paper proposes a novel approach that integrates the elliptical trajectory and probabilistic imaging method using the Bayesian framework. This method employs multiple damage-sensitive features to enhance the reliability and robustness of sensor arrays. The algorithm is optimized by analyzing the propagation characteristics of Lamb waves in composite blade laminates. A numerical simulation is conducted on a 1.5MW wind turbine blade laminate model, incorporating the scattered wave signal, wave arrival time, and correlation coefficient as damage characteristic signals. Markov Chain Monte Carlo (MCMC) sampling method is adopted to obtain the posterior distribution of the damage location and achieve accurate localization of blade delamination damage. The experimental results indicate that the damage localization algorithm, which utilizes the Bayesian approach, achieves an accuracy of approximately 97.04% in localizing delamination damage in blade laminates.

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Section: Dispersion Characteristics Of Lamb Wavesmentioning

confidence: 99%

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Lu,

Zheng,

Zhang

et al. 2024

Smart Mater. Struct.

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“…Structural health monitoring (SHM) technology based on distributed sensor networks permanently integrated on the surface of the structure is a revolutionary and innovative technology for structural health condition evaluation [20,21]. Ultrasonic guided waves monitoring method is a type of conventional SHM technology [22][23][24]. Piezoelectric materials such as piezoelectric lead zirconate titanate (PZT) are being widely used for guided waves monitoring, because of the piezoelectric effect, they can be used as either actuators or sensors.…”

Section: Introductionmentioning

confidence: 99%

Structural health dynamic monitoring for gear transmission based on guided waves

Chai

Wang²,

Liu³

et al. 2023

Smart Mater. Struct.

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The rotating machinery has a wide range of applications in many fields. The gear transmission system is one of the key structures of rotating machinery. Once the failure occurs to the gear system, it will destroy the equipment itself and lead the whole industrial production to break. Thus, it is necessary to directly monitor the health condition of the gear system under static and running working conditions. Guided waves method is a technology which has been widely used in the field of structural health monitoring (SHM). In this paper, guided waves technology is innovatively applied to the condition monitoring of gear system, which realizes the gear structure direct monitoring for low speed rotating machinery. The piezoelectric transducers integrated with the SMART Layer were placed near the gear mesh region for the direct health monitoring. The feasibility was verified by the guided waves monitoring experiments in a fixed-axis spur gear transmission system. The tooth wear and gear crack were monitored by guided waves under a single working condition. In addition, the stability verification experiment of guided waves was also performed under various low-speed working conditions. To characterize the propagation of gear faults, considering the characteristics of guided waves, a modified health indicator extraction methodology is proposed based on permutation entropy (PeEn). The results indicated that the guided waves technology has fantastic potential applications in gear transmission system dynamic direct health monitoring.

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Advanced Sensors and Sensing Systems for Structural Health Monitoring in Aerospace Composites

Ogunleye,

Rusnáková,

Javořík

et al. 2024

Adv Eng Mater

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This review examines the state‐of‐the‐art sensors and sensing technologies employed for structural health monitoring (SHM) in aerospace composites, highlighting the shift from conventional nondestructive evaluation techniques to real‐time monitoring systems. The review discusses the challenges associated with composite materials, such as their anisotropic nature and susceptibility to invisible damage, and how these challenges have driven the improvement of SHM techniques. Fiber‐optic sensors, including interferometric, distributed, and grating‐based sensors, are analyzed for their high sensitivity and multiplexing capabilities, making them suitable for distributed sensing applications. Piezoelectric sensors are evaluated for their effectiveness in both active and passive damage detection methods. At the same time, piezoresistive self‐sensing systems are explored for their potential to integrate sensing directly into composite materials. The review also addresses the challenges encountered in implementing SHM systems. It suggests solutions like protective coatings, advanced data processing algorithms, and modular system design to overcome these challenges. In conclusion, this review provides a comprehensive overview of the current SHM technologies for aerospace composites, underscoring the need for sustained research and development to improve sensor technology, expand data processing capabilities, and ensure seamless integration with aircraft systems, thus contributing to the safety and efficiency of aerospace operations.

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Lamb wave-based damage assessment for CFRP composite structures using a CHMM-based damage localization algorithm and a damage quantitative expression

Cited by 14 publications

References 26 publications

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Structural health dynamic monitoring for gear transmission based on guided waves

Advanced Sensors and Sensing Systems for Structural Health Monitoring in Aerospace Composites

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