An Efficient Time Reversal Method for Lamb Wave-Based Baseline-Free Damage Detection in Composite Laminates

Huang, Liping; Du, Jun; Chen, Feiyu; Zeng, Lijiang

doi:10.3390/app9010011

Cited by 13 publications

(6 citation statements)

References 40 publications

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“…The peak amplitude of the focused signal, that is, retransmitted signal collected at the excitation point, reveals the existence of damage in a structure. 71 This method finds applications in damage detection of pipes, 72 metallic structures, 73,74 composite plates, 75,76 concrete structures, 77,78 bolted joints, 79 etc. TR approach is extensively used in damage detection of bolted joints.…”

Section: Wave Propagation Methodsmentioning

confidence: 99%

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Chelimilla

Chinthapenta

Kali

et al. 2023

Structural Health Monitoring

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The integrity of bolted joints is still a challenging problem owing to the gross or localized slip at the interfacial surfaces of the joints when subjected to external disturbances such as vibrations. This slip escalates the interfacial movement and, thus, leads to a decrease in preload levels, that is, looseness of the bolted assemblies. In the last decade, modal analysis, wave propagation, and percussion methods were traditionally used to detect looseness in bolted connections. With an increase in computational power, machine learning algorithms such as neural networks, random forests, decision trees, and support vector machines complemented the traditional methods in accurate looseness estimation. Subsequently, this integration paved the path for real-time health monitoring of bolted joints. This paper summarizes recent investigations on looseness detection in bolted assemblies based on traditional methods and machine learning algorithms. The working principle, advantages, challenges, and applications of the aforementioned methods are also detailed in this paper. Apart from these investigations, the latest studies on the Internet of Things-based health monitoring of structures are also reviewed to explore their adaptability in remote monitoring of bolted connections for damage detection in the future.

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Section: Wave Propagation Methodsmentioning

confidence: 99%

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Chelimilla

Chinthapenta

Kali

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…The TR method is conventionally split into two steps: a "forward" and a "backward" propagation step (Chen et al, 2012b;Meo, 2012, 2014;De Simone et al, 2018). It also used for guided waves applications (Wang et al, 2004;Huang et al, 2019) but, in this work, the time reversal process is applied as a step of a new passive impact localization technique. According to (De Simone et al, 2018), during the "forward" step the structure is divided into a grid containing M excitation points.…”

Section: Time Reversal Theorymentioning

confidence: 99%

Impact Localization in Composites Using Time Reversal, Embedded PZT Transducers, and Topological Algorithms

Coles

Castro

Andreades

et al. 2020

Front. Built Environ.

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Time reversal is a powerful imaging processing technique that focuses waves at their original source using a single receiver transducer when diffusive wave field conditions are met. This has been successfully proved on various engineering components and materials using elastic waves with surface bonded transducers. This paper investigates the performance of time reversal for the localization of impact sources on fiber reinforced plastic composite structures with embedded piezoelectric sensors. A topologic approach, here named as minimum average method, is proposed to enhance the accuracy of time reversal in retrieving the impact location. Experimental tests were carried out to validate the robustness and reliability of time reversal against traditional topological approaches by altering impulsive responses contained in the baseline signals. Impact localization results revealed that time reversal and the new topological approach provided high accuracy in identifying the impact location, particularly in the presence of double impacts and material damage, which were not accounted during the initial training process. Results indicate that time reversal with embedded transducers has potential to be effective in real operating conditions, where alterations of acoustic emission responses in the baseline signals are less predictable.

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“…1,2 Guided wavebased SHM techniques have gained enormous interest for health management of thin plate-and shell-type structures due to their ability to detect small-sized damages and swiftly examine large regions with a limited number of transducers. [3][4][5][6][7][8][9][10][11][12] Lamb waves are generated in thin-walled structures by actuating the adhesivebonded piezoelectric transducers with electrical voltage. The propagating Lamb wave interacts with the structure and can be recorded at the same transducer (pulse-echo configuration) or a different transducer (pitch-catch configuration).…”

Section: Introductionmentioning

confidence: 99%

Baseline-free damage detection and sizing under varying temperatures using Lamb waves without temperature compensation

Sharma

Kapuria

Arockiarajan

et al. 2023

Structural Health Monitoring

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The Lamb wave time-reversal method (TRM) has been widely proposed as a baseline-free technique for Structural health monitoring (SHM) of plate/shell-type structures. Still, its efficacy has never been tested under a variable environment. The present study examines the conventional TRM and establishes that it is unsuitable for baseline-free detection and sizing of damage under varying temperatures since the damage index (DI) is prone to change with temperature rise and generally has low sensitivity to damage. The investigation is performed for block mass-type and notch-type defects using experiments and numerical simulations. The study further tests the refined time-reversal method (RTRM), presented recently, against the same objective. This technique uses Lamb waves of the best reconstruction frequency to probe the structure, at which the reconstructed signal in a healthy plate undergoes minimum deviation from the input signal. It considers an extended wave packet for computing the DI instead of using the main mode alone. We show that this process leads to the lowest DI for undamaged plates and the highest sensitivity to damage. Also, the DI remains almost unchanged during temperature change, irrespective of the damage type, size, and plate thickness. It makes the RTRM very effective for baseline-free identification and sizing of damage under varying temperatures.

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An Efficient Time Reversal Method for Lamb Wave-Based Baseline-Free Damage Detection in Composite Laminates

Cited by 13 publications

References 40 publications

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

Impact Localization in Composites Using Time Reversal, Embedded PZT Transducers, and Topological Algorithms

Baseline-free damage detection and sizing under varying temperatures using Lamb waves without temperature compensation

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