Numerical prediction of static and vibration responses of damaged (crack and delamination) laminated shell structure: An experimental verification

Kumar, Vikash; Dewangan, Hukum Chand; Sharma, Nitin; Panda, Sidhartha

doi:10.1016/j.ymssp.2022.108883

Cited by 24 publications

(4 citation statements)

References 45 publications

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“…This significant advancement would not only open new opportunities but also expand the range of benefits offered by CF/EP composites across various industries. [16][17][18][19] Over the years, researchers have developed numerous techniques aimed at addressing the delamination issue and enhancing the delamination resistance of laminated composites. These techniques can be classified as follows: (i) matrix modifications by using organic/inorganic particles (silica, 20 rubber, 21 carbon nanotubes, 22 graphene, 23 calcite particles, 24 micro-cork particles, 25 natural fibers 26 etc.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Mode-I and Mode-II fracture toughness of carbon fiber/epoxy laminated composites using 3D-printed polyamide interlayers

Beylergil,

Duman

2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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Delamination is a critical concern in laminated composites, affecting their structural integrity and overall performance. This study investigates the enhancement of Mode-I and Mode-II fracture toughness in carbon fiber/epoxy (CF/EP) composites through the incorporation of 3D-printed polyamide (PA) interlayers. Vacuum-assisted resin transfer molding was utilized to fabricate composite laminates with and without 3D-printed PA interlayers. Comprehensive testing was conducted to assess the effect of 3D-printed PA interlayers on the Mode-I and Mode-II fracture toughness, interlaminar shear strength, and flexural properties, as well as thermomechanical response using dynamic mechanical analysis. The results revealed a significant improvement in critical energy release rates for both Mode-I and Mode-II (GIc and GIIc), increasing by 43.5% and 81.2% respectively, compared to the reference composites. This enhancement was primarily attributed to crack bridging and plastic deformation of PA filaments in the interlaminar region. Additionally, interlaminar shear strength increased by 17.4%. While the reference composites had a glass transition temperature of 117.3 °C, the PA-reinforced composites showed a slightly higher value at 119.6 °C, with no significant change in the glass transition temperature. tanδmax values increased from 0.321 to 0.576, suggesting better energy dissipation in PA-reinforced composites. However, flexural properties were adversely affected by the increased thickness and reduced fiber volume fraction due to the introduction of 3D-printed PA interlayers, with the flexural modulus decreasing by approximately 28% and the flexural strength by around 50%. These findings offer promising opportunities to enhance the performance of CF/EP composites under specific loading scenarios, thus expanding their potential applications across diverse industries.

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Section: Introductionmentioning

confidence: 99%

“…This significant advancement would not only open new opportunities but also expand the range of benefits offered by CF/EP composites across various industries. 16–19…”

Section: Introductionmentioning

confidence: 99%

Enhancing Mode-I and Mode-II fracture toughness of carbon fiber/epoxy laminated composites using 3D-printed polyamide interlayers

Beylergil,

Duman

2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…Kumar et al developed a high-order kinematic model and used the virtual crack closure technique for measuring natural frequencies. They utilized the vibration responses to investigate the damaged shell structure [ 12 ]. Dubey et al used an algorithm based on the frequency shift coefficient to estimate both the damage severity and position [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

A Neural Network Approach to Estimate the Frequency of a Cantilever Beam with Random Multiple Damages

Saha,

Yang

2023

Sensors

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Natural frequency is an important parameter in the structural health monitoring (SHM) system. Any changes in this parameter indicate structural alteration due to damage. This study provides a neural network (NN) solution as an alternative to the finite element (FE) method to measure the natural frequencies of a cantilever beam with random multiple damage. It is based on a statistical dataset of a free vibration test obtained from the APDL (Ansys parametric design language) simulation using a MATLAB (matrix laboratory) script. The script can generate an unlimited number of possible damage combinations for any given parameters with the help of the Monte Carlo (MC) technique. MC helps to generate a random number of damages in random locations at each simulation. Damage conditions are controlled by three parameters including damage severity and damage size (in terms of the mean and standard deviation of damage). Moreover, the method proposes a curve-fitting equation to validate the predicted natural frequency for the first three modes obtained from the neural network model. Both methods are in good agreement with each other, having minimal errors in the range of 0.2–3% for each mode. The frequency result shows that the beam frequency is 8.6486 Hz if the area reduction is 10%, whereas it comes down to 7.2338 Hz if there is a 30% area reduction. A two-level factorial test shows that damage severity is the most impactful factor compared to the damage sizes on the frequency shift event. This indicates that damage alters the composition of the beam and has an impact on its frequency change with the assumed damage parameters. Therefore, the proposed NN model can estimate the frequency shift for various damage scenarios. It can be utilized in the vibration-based damage identification process to predict the frequency changes of the damaged beam without any computational burden.

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“…The methods in the frequency domain [5] include the peak picking method, methods with the transfer function, frequency response function, frequency domain decomposition, and eigensystem realization algorithm (ERA), etc. with tools in the frequency domain such as transfer function and modal parameters such as natural frequencies, mode shapes, mode shape curvature, flexibility matrices, mode strain energy [6][7][8], etc. Methods in the time domain include the Ibrahim time domain method, least-squares complex exponential method, and ERA methods.…”

Section: Introductionmentioning

confidence: 99%

Seismic Damage Assessment for Isolated Buildings with a Substructure Method

2022

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A seismic damage detection method for isolated buildings is proposed based on substructure identification with incomplete contaminated measurements. A concept of a pseudo substructure with virtual conditions is constructed for the proof of the proposed substructure identification method. This identification method is implemented in a two-stage procedure. The interface forces of the target substructure are identified in the first stage and the parameter of the target substructure is updated in the second stage, which can enable the parameter identification of substructures with unknown input. Two computational methods are also proposed to improve the two-stage identification algorithm. A sub-time zone identification method is utilized to reduce the computation effort and the simultaneous identification of the unknown force and initial structural responses is presented in the first-stage identification for a general case in practical engineering. Numerical studies of a shear frame with nonlinear base isolation subject to earthquake ground motion are investigated to validate the proposed seismic damage detection method. A fourteen-storey concrete shear wall building with a two-storey steel frame on top connected by isolation is studied experimentally with shaking table tests to further validate the proposed method. The shear wall structure is taken as the target substructure for damage assessment. The interface force and parameter of the concrete shear wall building are estimated with the proposed method. Results from both the numerical simulations and laboratory tests indicate that the proposed method can estimate seismic isolated structures and detect damage effectively based on only a few accelerometers. It is also demonstrated that the parameter identification results based on the structure response measurement during the earthquake are more accurate than the identification with post-earthquake structural response measurement.

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Numerical prediction of static and vibration responses of damaged (crack and delamination) laminated shell structure: An experimental verification

Cited by 24 publications

References 45 publications

Enhancing Mode-I and Mode-II fracture toughness of carbon fiber/epoxy laminated composites using 3D-printed polyamide interlayers

Enhancing Mode-I and Mode-II fracture toughness of carbon fiber/epoxy laminated composites using 3D-printed polyamide interlayers

A Neural Network Approach to Estimate the Frequency of a Cantilever Beam with Random Multiple Damages

Seismic Damage Assessment for Isolated Buildings with a Substructure Method

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