Damage Detection of Fibre-Reinforced Composite Structures Using Experimental Modal Analysis

Geweth, C. A.; Khosroshahi, F. Saati; Sepahvand, K.; Kerkeling, Christoph; Marburg, Steffen

doi:10.1016/j.proeng.2017.09.128

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…To demonstrate the feasibility of the proposed method, sample components of damaged and undamaged fiber-reinforced composites are assumed to be tested by the experimental modal analysis for identifying the eigenfrequencies. Such a classical experimental procedures is explained in [3], where, to realize the delamination in the damaged samples, very thin plastic foils are artificially implemented between the layers along the fibers, cf. The position of the artificial delamination is shown in Figure 2b.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Among them, the methods developed based on the structural dynamics provide more reliable results because the dynamic characteristics of composite structures and components change, due to damage that occurs during the manufacturing process or operating conditions [2]. This is more critical for fiber-reinforced composite structures as they exhibit complicated structural components that are subject to invisible delamination [3].…”

Section: Introductionmentioning

confidence: 99%

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Structural Damage Detection Using Supervised Nonlinear Support Vector Machine

Sepahvand

2021

J. Compos. Sci.

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Damage detection, using vibrational properties, such as eigenfrequencies, is an efficient and straightforward method for detecting damage in structures, components, and machines. The method, however, is very inefficient when the values of the natural frequencies of damaged and undamaged specimens exhibit slight differences. This is particularly the case with lightweight structures, such as fiber-reinforced composites. The nonlinear support vector machine (SVM) provides enhanced results under such conditions by transforming the original features into a new space or applying a kernel trick. In this work, the natural frequencies of damaged and undamaged components are used for classification, employing the nonlinear SVM. The proposed methodology assumes that the frequencies are identified sequentially from an experimental modal analysis; for the study propose, however, the training data are generated from the FEM simulations for damaged and undamaged samples. It is shown that nonlinear SVM using kernel function yields in a clear classification boundary between damaged and undamaged specimens, even for minor variations in natural frequencies.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural Damage Detection Using Supervised Nonlinear Support Vector Machine

Sepahvand

2021

J. Compos. Sci.

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“…Michael et al, 4 Khammassi et al, 5 Tate et al, 6 Zhang et al, 7 and Yang et al 8 used the natural frequency to predict the extent and location of the delamination in composite beams and plates, respectively. Chandrashekhar et al, 9 Serovaev et al 10,11 , Masoumi et al, 12 and Geweth et al 13 used the natural frequency and mode shape to determine the damage parameters of multilayered composite plates. He et al 14 used the flexibility curvature to detect the composite beams with single, multiple or different degree damage.…”

Section: Introductionmentioning

confidence: 99%

Delamination detection on composite laminates using the modal displacement unevenness coefficient

Zhang

Yin

et al. 2022

Journal of Composite Materials

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This paper develops a new detection method taking the power function of the modal displacement curvature difference as a damage index to accurately identify the location and degree of the delamination. The 4-layer Poly Tetra Fluoro Ethylene films of size 0.02 m × 0.11 m are embedded between adjacent carbon fiber prepregs being 0.06 m and 0.115 m away from the left edge, respectively. The force-hammer excitation experiment is carried out on the prepared laminates with fixed supports at both ends, and the frequency response curves of measuring points are processed by the Polylscf algorithm in Dong-Hua Data Analysis System. The finite element model of delaminated laminates is established through adding new layers with film properties, and the modal displacements of nodes are compared with experimental data. The number of measuring points in the experiment is limited, making the precise characterization of surface abrupt characteristics difficult. The numerical results are used to calculate the square of the Gaussian curvature difference between the modal displacements of intact and damaged laminates. Significant improvement of the delamination detection accuracy is achieved in this process, confirming that the developed method constitutes a valuable tool for the Non-Destructive Testing of the laminates.

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“…Modal analysis is a methodology used in a wide spectrum of applications to determine the dynamic characteristics of structures [21,22], in material characterization [23][24][25], damage detection in components [26,27], and reliability evaluation [28]. The obtained dynamic characteristics from modal analysis are eigen frequencies, mode shapes, and material/structure damping.…”

Section: Introductionmentioning

confidence: 99%

Mechanical and Dynamic Characterization of Sustainable Composites Based on Food Packaging Waste

2018

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Composites made from food packaging waste are recently introduced to the industry as promising materials that aim to reduce the environmental waste and to develop cost effective products. They possess good physical properties, which makes them potential competitors to wood based composite structures such as commercial particleboard (PB), and medium density fiberboard (MDF). Despite the expected advantages, the mechanical and dynamic behaviour of this genuine structure still needs to be studied and tested to evaluate its suitability for light weight structure applications. Experimental modal analysis is conducted on specimens made of food packaging waste, sandwich structured packaging waste with woven glass-fiber skin, MDF and PB. The dynamic testing results show superior damping ratio for the food packaging waste composites compared to the wood-based specimens. Natural frequencies exhibit comparable dynamic stiffness with respect to MDF, and PB. Further investigation has been made to evaluate both the modulus of rapture and the static stiffness of the material by conducting flexural tests on all specimens. Sandwich structure produced from food packaging waste and veneered with woven glass-fiber fabric exhibit excellent magnitudes for the modulus of rupture in addition the highest damping ratio.

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Damage Detection of Fibre-Reinforced Composite Structures Using Experimental Modal Analysis

Cited by 9 publications

References 9 publications

Structural Damage Detection Using Supervised Nonlinear Support Vector Machine

Structural Damage Detection Using Supervised Nonlinear Support Vector Machine

Delamination detection on composite laminates using the modal displacement unevenness coefficient

Mechanical and Dynamic Characterization of Sustainable Composites Based on Food Packaging Waste

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