Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method

It is highly probable for the structures of carbon fiber reinforced plastics (CFRP) to suffer from invisible impact damage, for which the identification of such damage is of great significance. For the purpose of damage localization, this paper proposes a minimum variance distortion-less response (MVDR) algorithm that employs linear array sensor. In addition, a near field signal model based on active Lamb wave is established and the propagation of Lamb wave is investigated in composite laminates through the method of simulation. Moreover, a damage imaging system is also set up for composites to verify the effectiveness of the MVDR algorithm. Besides, in the study, wavelet transform is used as well to extract narrowband signals and promote signal-to-noise. It is shown by the results that the proposed algorithm can accurately identify the location of damage through the method of imaging. It is concluded that the maximum error of damage identification is 1.2 cm and MVDR algorithm has great potential in the field, damage imaging of composite materials. As a result, it provides a novel idea for damage imaging of composite materials.

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Damage Identification of Large Generator Stator Insulation Based on PZT Sensor Systems and Hybrid Features of Lamb Waves

Sensors ◽

10.3390/s18092745 ◽

2018 ◽

Vol 18 (9) ◽

pp. 2745 ◽

Cited By ~ 6

Author(s):

Ruihua Li ◽

Hao Li ◽

Bo Hu

Keyword(s):

Power Systems ◽

Lamb Wave ◽

Damage Identification ◽

Lamb Waves ◽

Fem Simulation ◽

Correlation Coefficients ◽

Hybrid Features ◽

Material Inhomogeneity ◽

Time Frequency ◽

Damage Imaging

Large generators are the principal pieces of equipment in power systems, and their operation reliability critically depends on the stator insulation. Damages in stator insulation will gradually lead to the failure and breakdown of generator. Due to the advantages of Lamb waves in Structural health monitoring (SHM), in this study, a distributed piezoelectric (PZT) sensor system and hybrid features of the Lamb waves are introduced to identify stator insulation damage of large generator. A hierarchical probability damage-imaging (PDI) algorithm is proposed to tackle the material inhomogeneity and anisotropy of the stator insulation. The proposed method includes three steps: global detection using correlation coefficients, local detection using Time of flight (ToF) along with the amplitude of damage-scattered Lamb wave, and final images fusion. Wavelet Transform was used to extract the ToF of Lamb wave in terms of the time-frequency domain. Finite Element Modeling (FEM) simulation and experimental work were carried out to identify four typical stator insulation damages for validation, including inner void, inner delamination, puncture, and crack. Results show that the proposed method can precisely identify the location of stator insulation damage, and the reconstruction image can be used to identify the size of stator insulation damage.

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Lamb Wave Propagation-based Damage Identification for Quasi-isotropic CF/EP Composite Laminates Using Artificial Neural Algorithm: Part I - Methodology and Database Development

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x05047599 ◽

2005 ◽

Vol 16 (2) ◽

pp. 97-111 ◽

Cited By ~ 50

Author(s):

Zhongqing Su ◽

Lin Ye

Keyword(s):

Wave Propagation ◽

Lamb Wave ◽

Composite Laminates ◽

Damage Identification ◽

Database Development ◽

Artificial Neural ◽

Lamb Wave Propagation

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Lamb-Wave-Based Method in the Evaluation of Self-Healing Efficiency

Applied Sciences ◽

10.3390/app10072585 ◽

2020 ◽

Vol 10 (7) ◽

pp. 2585

Author(s):

Maciej Radzieński ◽

Paweł Kudela ◽

Wiesław Ostachowicz ◽

Patryk Bolimowski ◽

Rafał Kozera ◽

...

Keyword(s):

Lamb Wave ◽

Composite Laminates ◽

Impact Damage ◽

Healing Process ◽

Nondestructive Method ◽

Laser Vibrometer ◽

Self Healing ◽

Reinforced Polymer ◽

Glass Fiber Reinforced ◽

Healing Efficiency

The aim of this research is a feasibility study of self-healing process monitoring in composite laminates. A novel nondestructive method based on the full wavefield of Lamb wave processing is proposed. Experimental verification is presented for glass-fiber-reinforced polymer plate with embedded self-healing function in the form of a dry microcapsule powder. After impacting the specimen to create barely visible impact damage, a series of laser vibrometer full wavefield measurements were carried out and processed to assess self-healing efficiency.

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Bird-Strike Resistance of Composite Laminates with Different Materials

Materials ◽

10.3390/ma13010129 ◽

2019 ◽

Vol 13 (1) ◽

pp. 129 ◽

Cited By ~ 3

Author(s):

Yadong Zhou ◽

Youchao Sun ◽

Tianlin Huang

Keyword(s):

Composite Materials ◽

Composite Laminates ◽

Impact Damage ◽

Dynamic Properties ◽

Dynamic Structure ◽

Strength Properties ◽

Bird Strike ◽

Particle Hydrodynamics ◽

Bird Impact ◽

The Impact

To obtain some basic laws for bird-strike resistance of composite materials in aeronautical application, the high-velocity impact behaviors of composite laminates with different materials were studied by numerical methods. The smoothed particle hydrodynamics (SPH) and finite element method (FEM) coupling models were validated from various perspectives, and the numerical results were comparatively investigated. Results show that the different composite materials have relatively little effect on projectile deformations during the bird impact. However, the impact-damage distributions can be significantly different for different composite materials. The strength parameters and fracture energy parameters play different roles in different damage modes. Lastly, modal frequency was tentatively used to explain the damage behavior of the composite laminates, for it can manifest the mass and stiffness characteristics of a dynamic structure. The dynamic properties and strength properties jointly determine the impact-damage resistance of composite laminates under bird strike. Future optimization study can be considered from these two aspects.

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Minimum variance Lamb wave imaging based on weighted sparse decomposition coefficients in quasi-isotropic composite laminates

Composite Structures ◽

10.1016/j.compstruct.2021.114432 ◽

2021 ◽

pp. 114432

Author(s):

Caibin Xu ◽

Zhibo Yang ◽

Hao Zuo ◽

Mingxi Deng

Keyword(s):

Lamb Wave ◽

Composite Laminates ◽

Minimum Variance ◽

Sparse Decomposition ◽

Isotropic Composite ◽

Wave Imaging

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Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

Materials ◽

10.3390/ma13010218 ◽

2020 ◽

Vol 13 (1) ◽

pp. 218 ◽

Cited By ~ 2

Author(s):

Chenhui Su ◽

Mingshun Jiang ◽

Jianying Liang ◽

Aiqin Tian ◽

Lin Sun ◽

...

Keyword(s):

Lamb Wave ◽

Lamb Waves ◽

Simple Calculation ◽

Maximum Error ◽

Differential Signal ◽

Damage Location ◽

Composite Damage ◽

Damage Imaging ◽

Wave Tomography ◽

The Difference

In order to deal with the problem of composite damage location, an imaging technique based on differential signal and Lamb wave tomography was proposed. Firstly, the feasibility of the technique put forward was verified by simulation. In this process, the composite model was regularly set down by the circular sensor array, with each sensor acting as an actuator in sequence to generate Lamb waves. Apart from that, other sensors were used to collect response signals. With regard to the damage factor, it was mainly determined by the difference between the damage signal and the non-damage signal. The probabilistic imaging algorithm was employed to carry out damage location imaging. Then, experiments were carried out so as to study the selected composite plate. Finally, the tentative outcomes have illustrated that the maximum error of damage imaging position was 7.07 mm. The relative error was 1.6%. In addition, the method has the characteristics of simple calculation and high imaging efficiency. Therefore, it has large technical potential and wide applications in the damage location and damage recognition for composite material.

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Efficient Lamb-wave based damage imaging using multiple sparse Bayesian learning in composite laminates

NDT & E International ◽

10.1016/j.ndteint.2020.102277 ◽

2020 ◽

Vol 116 ◽

pp. 102277

Author(s):

Han Zhang ◽

Jiadong Hua ◽

Fei Gao ◽

Jing Lin

Keyword(s):

Lamb Wave ◽

Composite Laminates ◽

Bayesian Learning ◽

Sparse Bayesian Learning ◽

Damage Imaging

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Current injection phase thermography for low-velocity impact damage identification in composite laminates

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2013.09.019 ◽

2014 ◽

Vol 55 ◽

pp. 429-441 ◽

Cited By ~ 29

Author(s):

S.A. Grammatikos ◽

E.Z. Kordatos ◽

T.E. Matikas ◽

C. David ◽

A.S. Paipetis

Keyword(s):

Composite Laminates ◽

Damage Identification ◽

Impact Damage ◽

Current Injection ◽

Low Velocity Impact ◽

Low Velocity ◽

Velocity Impact ◽

Injection Phase

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Flexural Toughness as an Attribute for Impact Damage Evaluation of Composite Laminates

Volume 8: Mechanics of Solids, Structures and Fluids; Vibration, Acoustics and Wave Propagation ◽

10.1115/imece2011-65694 ◽

2011 ◽

Author(s):

Mohammad Alemi-Ardakani ◽

Abbas S. Milani ◽

Spiro Yannacopoulos ◽

David Trudel-Boucher ◽

Golnaz Shokouhi

Keyword(s):

Mechanical Properties ◽

Composite Materials ◽

Composite Laminates ◽

Visual Inspection ◽

Impact Damage ◽

Impact Resistance ◽

Damage Evaluation ◽

Flexural Toughness ◽

Post Impact ◽

The Impact

Popularity and application of composite materials are increasing in several industries including transportation, construction and aerospace. The mechanical properties of these materials should be known to engineers to be able to design/select new products. Impact resistance is one of the properties which have been studied extensively over the past years and still is an ongoing topic in composites research. Since analytical solutions have not been fully developed for the impact characterization of anisotropic materials, researchers often perform mechanical testing in conjunction with visual inspection methods to investigate the impact behavior of composite materials. The present study shows that flexural toughness can be used as a parameter in the design/material selection stage in the evaluation of pre- and post-impact damage of composite laminates. A series of drop-weight impact tests, using a 200J energy level, were performed on specimens made of four different stacking configurations of TWINTEX® and unidirectional laminates (polypropylene and glass fiber commingled composites) according to ASTM D7136. The damaged areas of the impacted specimens were measured using image analysis. Four-point flexural testing was then carried out, based on ASTM D7264, on both non-impacted and impacted specimens. Damaged area and flexural toughness, along with a set of other commonly used mechanical properties, were selected as measures for damage evaluation. Comparison of results before and after impact and under different criteria showed that in the present case study, visual inspection is not sufficient in predicting the post-impact properties of the tested specimens and can be misleading. On the other hand, flexural toughness could give a much clearer perspective on the extent of post-impact resistance of the specimens.

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