Long-range impact localization with a frequency domain triangulation technique: Application to a large aircraft composite panel

Goutaudier, Dimitri; Gendre, Didier; Kehr-Candille, Véronique; Ohayon, Roger

doi:10.1016/j.compstruct.2020.111973

Cited by 15 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The special structural characteristics of composite laminates make them more prone to external impacts [4,5], so it is of great significance to locate the acoustic source of composite laminates in real-time. Several acoustic source localization (ASL) techniques have been proposed for plate-like structures in recent years [6][7][8]. However, the application of these techniques may be difficult due to the strong anisotropy of composite laminates and the complex stacking sequences in which the principal axis orientation is usually unknown.…”

Section: Introductionmentioning

confidence: 99%

A signal energy-based acoustic source localization technique for composite laminates

Ma,

Zhou,

Cui

et al. 2024

Health Monitoring of Structural and Biological Systems XVIII

View full text Add to dashboard Cite

Acoustic source localization techniques for composite laminates are challenging for anisotropic materials. In this paper, an improved signal energy-based acoustic source localization technique without a priori knowledge of the principal axes orientations is proposed. The proposed technique has the advantages of no need to measure arrival time and does not need complex signal processing techniques. It can also be applied in the case of low signal-to-noise ratio. Finite element models of carbon fiber laminate with different stacking sequences are created to verify the proposed technique. The results of the numerical simulation demonstrate the feasibility of the proposed technique.

show abstract

Section: Introductionmentioning

confidence: 99%

A signal energy-based acoustic source localization technique for composite laminates

Ma,

Zhou,

Cui

et al. 2024

Health Monitoring of Structural and Biological Systems XVIII

View full text Add to dashboard Cite

show abstract

“…Therefore, the impact localization of composite structures is far more complex than that of isotropic structures. 17 There are four main categories of existing methods used for impact localization of composite structure, namely (1) methods based on stress wave arrival times and travel distances, [18][19][20] (2) methods based on system models, 21,22 (3) methods based on damage imaging, [23][24][25] and (4) methods based on machine learning and other process mapping methods. [26][27][28][29] Among them, the method based on the arrival time and travel distance of the stress wave, which involves the extraction of timedomain features of the stress wave signal and the compensation of the velocity in different propagation directions, with a large workload.…”

Section: Introductionmentioning

confidence: 99%

Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures

Wang

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

An impact monitoring method based on time series analysis and a sparse sensor network is proposed to identify the location of the impact event that occurs on aircraft complex structures and estimate the impact energy. Generally, a high-density sensor network is required for high localization accuracy of the impact event, but with the trade-off of high deployment costs. A sparse piezoelectric sensor network together with a coarse and fine two-step localization method is designed to balance accuracy and cost. The stress wave signals caused by impact are measured by the sensor network and regarded as time series. The impact localization problem is converted into a classification problem of time series, and the strategy of combining coarse localization (impact zone identification) and fine localization (impact localization within a zone) is used to achieve accurate identification of the impact locations. The zone where the impact event is located is first identified by the coarse localization algorithm based on K-nearest neighbor and dynamic time warping (DTW) and one-dimensional convolutional neural networks, respectively. Furthermore, the high accuracy identification of the impact location within the zone is achieved by the fine localization algorithm based on DTW and centroid localization. In terms of the impact energy estimation, the zone correction compensation algorithm is given to sufficiently reduce the estimation error of the impact energy. The low-velocity impact tests are performed on the composite stiffened panel and the aluminum alloy aircraft fuselage structure to verify the effectiveness of the proposed methods.

show abstract

Locating Low Velocity Impacts on a Composite Plate Using Multi-Frequency Image Fusion and Artificial Neural Network

et al. 2022

View full text Add to dashboard Cite

Long-range impact localization with a frequency domain triangulation technique: Application to a large aircraft composite panel

Cited by 15 publications

References 20 publications

A signal energy-based acoustic source localization technique for composite laminates

A signal energy-based acoustic source localization technique for composite laminates

Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures

Locating Low Velocity Impacts on a Composite Plate Using Multi-Frequency Image Fusion and Artificial Neural Network

Contact Info

Product

Resources

About