Effect of Delamination on the Natural Frequencies of Composite Laminates

Pardoen, Gerard C.

doi:10.1177/002199838902301201

Cited by 213 publications

(27 citation statements)

References 7 publications

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“…Della and Shu [2005] extended the model of [Mujumdar and Suryanarayan 1988] to composite beams, by using the effective bending stiffness terms of composite laminates. In what could be termed a similar approach, Pardoen [1989] developed a constrained model to predict the natural frequencies of a simply supported composite beam considering only midplane delaminations. In this analytical study, the model first adopted by [Ramkumar and Kulkarni 1979] is customized for composite laminates, to determine the changes in natural frequencies due to delaminations located at different interfaces.…”

Section: Mathematical Formulationmentioning

confidence: 99%

Efficiencies of algorithms for vibration-based delamination detection: A comparative study

Ihesiulor¹,

Shankar²,

Zhang³

et al. 2013

J. Mech. Mater. Struct.

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The need for efficient and low-cost techniques adequate for damage detection has become of great interest in engineering applications where structural health monitoring (SHM) is of paramount importance. Promising algorithms for SHM have to deliver results with very low computational and response time requirements and be trustworthy within a certain accuracy. Different algorithms (artificial neural networks (ANN), response surface methodology (RSM), and optimization techniques -gradient-based local search (GBLS) and nondominated sorting genetic algorithms (NSGA-II)) are proposed to fill this research gap. The concept of a surrogate model as a fast-executing model is also introduced. Because the objective of this paper is to concentrate on viable techniques suitable for damage detection using vibration methods with very low computational requirements, surrogates are therefore employed to curtail the computational expense. Particularly of interest among the proposed algorithms is RSM, the principle of which has proved successful in the pharmaceuticals industry over the years. However, RSM has not been so widely used in the field of structural engineering for delamination detection. In this paper, we have demonstrated that a fourth-order polynomial has the capability to detect delaminations in composite structures. In order to reduce the size of training data required to solve the inverse problem by the proposed algorithms, the idea of a suitable design space is brought to the limelight as the combination of all possible simulations that one is concerned about. Since the overall sum of design space is usually prohibitively large, we have used K-means clustering to effectively achieve this. This research concerns the application of ANN, RSM, and optimization techniques for delamination detection using changes in natural frequencies before and after damage. Efficiencies of algorithms (ANN, GBLS, and NSGA-II) are compared with the developed RSM models in terms of the accuracy of delamination detection and response time requirements. The methods have been shown to compete effectively for delamination detection and are accurate in detecting the size and locations of delaminations at midplanes. RSM has a unique feature in that it produces models with a small training dataset requirement and also generates mathematical models that are easy to interpret and implement. The optimization techniques, when integrated with surrogate models, require small training sets clustered through the entire design space. ANN, however, requires large training datasets to achieve its results. As such, the potential of these algorithms as tools for on-board damage detection when integrated into a SHM system is successfully demonstrated.

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Section: Mathematical Formulationmentioning

confidence: 99%

Efficiencies of algorithms for vibration-based delamination detection: A comparative study

Ihesiulor¹,

Shankar²,

Zhang³

et al. 2013

J. Mech. Mater. Struct.

View full text Add to dashboard Cite

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“…Vibration-based SHM (VSHM) methods present a very attractive possibility since they are global non-destructive methods and do not require any a priori information for the damage location, type or size. There exists a number of VSHM methods that have been developed, some of which are based on the modal parameters of a structure, including its natural frequencies [2] and/or mode shapes [3], others use its Frequency Response Functions (FRFs) and/or its time or frequency domain vibration response [4]. In general VSHM methods can be divided into two big categories: model-based and non-model based methods.…”

Section: Introductionmentioning

confidence: 99%

“…There are some studies that target model-based VSHM methods as applied to composite structures but it should be stressed that these are developed for specific applications in the sense of material and structures and they are generally not applicable to other cases. FEM has been used by several authors for the purposes of modelling the response of structures made of laminates, especially beams and a few of them are focused on plates [6][7][8][9][10][11][12][13]. A number of works can be found dealing with modelling the vibratory response of delaminated composite laminate structures [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…FEM has been used by several authors for the purposes of modelling the response of structures made of laminates, especially beams and a few of them are focused on plates [6][7][8][9][10][11][12][13]. A number of works can be found dealing with modelling the vibratory response of delaminated composite laminate structures [6][7][8][9][10]. Even though some methods can relatively precisely model the presence of delamination, little research is available on the topic of delamination detection, which involves dynamic modelling of laminate structures [11][12][13].Thus it should be noted that VSHM methods developed for structures made of composites and or composite laminates tend to be non-model based [14].…”

Section: Introductionmentioning

confidence: 99%

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Vibration-based delamination diagnosis and modelling for composite laminate plates

Garcia

Palazzetti

Trendafilova

et al. 2015

Composite Structures

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This study suggests a methodology for damage diagnosis in structures, which is based on a multivariate statistical procedure and uses the measured time domain structural vibration response. In this paper the methodology is developed for the purposes of delamination assessment in free vibrating composite laminate plates. It applies singular spectrum analysis to the measured strains in order to decompose and compress the information contained in these responses into a smaller number of independent variables. The method works on the principle of clusterization between healthy and delaminated plates with different delamination sizes and locations. The developed methodology is then applied and verified on numerically simulated and experimentally obtained results for composite laminate plates. The results demonstrate a good capability for clusterization between different delamination scenarios in composite laminate plates.

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“…The response to dynamic loading shows significant changes in responses compared to the deterministic value. The presence of damage causes stiffness reduction, which causes a shift in the natural frequencies, especially at high frequencies [Pardoen 1989]. Variation in the material properties also shifts the natural frequencies and the modal amplitudes.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2010

J. Mech. Mater. Struct.

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This study presents the development of a constitutive model for in-plane mechanical behavior of five styles of plain woven Kevlar fabrics impregnated with silica nanoparticles. The neat fabrics differed in fiber type, yarn count, denier, weave tightness and strength, and varying proportions (4, 8, 16 and 24% by weight) of nanoparticles were added to enhance the mechanical properties of the fabric. It was found that fabrics impregnated with nanoparticles exhibit significant improvement in shear stiffness and a slight increase in tensile stiffness along the yarn directions over their neat counterparts. A constitutive model was developed to characterize the nonlinear anisotropic properties of nanoparticle-impregnated fabrics undergoing large shear deformation. The parameters for the model were determined based on uniaxial (along yarn directions) and 45• off-axis tension tests. This model was incorporated in the commercial FEA software ABAQUS through a user-defined material subroutine to simulate various load cases.

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Effect of Delamination on the Natural Frequencies of Composite Laminates

Cited by 213 publications

References 7 publications

Efficiencies of algorithms for vibration-based delamination detection: A comparative study

Efficiencies of algorithms for vibration-based delamination detection: A comparative study

Vibration-based delamination diagnosis and modelling for composite laminate plates

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