Development of a criterion for predicting residual strength of composite structures damaged by impact loading

Medeiros, Ricardo de

doi:10.11606/t.18.2016.tde-26072016-221608

Cited by 10 publications

(20 citation statements)

References 84 publications

(117 reference statements)

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“…In this research project, damage was introduced into the structure by impact. An impact machine (drop tower) is used to damage all plates [28]. In this machine a mass is dropped from a certain height, hitting the test coupon.…”

Section: Damage By Impact and C-scan Analysismentioning

confidence: 99%

Dynamic response of laminated composites using design of experiments: An experimental and numerical study

Souza

Vandepitte

Tita

et al. 2019

Mechanical Systems and Signal Processing

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In addition to many advantages, composite materials constitute a new challenge in many industrial fields and applications. Vibration Based Methods (VBM) are relatively simple and at low cost to detect damage and fails in composite structures, but they are sensitive to variations in geometry and material properties. Recently, the main challenge in VBM is to establish a robust process to be applied on an industrial environment. In this work, a methodology to identify the effect of design parameters on the dynamic response of laminated composite plates is presented. For the case of composite materials, the production process plays an important role. Numerical dynamic analyses are run using the Finite Element code ABAQUS TM , which is complemented with user subroutines written in Fortran and Python. A Design of Experiments (DoE) strategy is developed to reduce the number of experiments and to evaluate the effect of the design parameters. In this work, two sets of composite plates were evaluated, [0] 8 and [0/-15/15/0/-15/15] s , with natural frequencies used as response quantities. In addition, Frequency Response Functions are analysed, as they are obtained by a full factorial design. Afterwards, the results are discussed with proper attention for the potential and for the limitations of the proposed methodology from the perspective of usage to detect damage and failure in composite structures.

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Section: Damage By Impact and C-scan Analysismentioning

confidence: 99%

Dynamic response of laminated composites using design of experiments: An experimental and numerical study

Souza

Vandepitte

Tita

et al. 2019

Mechanical Systems and Signal Processing

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“…The average thickness for the first group was 3.39 mm (standard deviation = 0.07) and for the second 2.23 mm (standard deviation = 0.02). The experimental procedure was carried out by Medeiros [9] and is shown in Initially, the dynamic response of each healthy laminated plate was obtained by using accelerometers in free-free boundary conditions. The impulse input by impact hammer was applied on a fixed point on the back side of the plate.…”

Section: Methodsmentioning

confidence: 99%

“…In the vibration tests, the analyzed frequency range was 0-1024 Hz, in a total of 2048 spectral points. Each FRF was obtained through an average of five samples, aiming to reduce the effects of variation [9].…”

Section: Methodsmentioning

confidence: 99%

Artificial neural networks applying to detect damage in carbon fiber/epoxy composite

Völtz¹,

Cardoso²,

Medeiros³

2018

Proceedings of the 4th Brazilian Conference on Composite Materials

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Artificial Neural Networks (ANNs) have emerged as one of the most useful tools in Artificial Intelligence (AI), being used in the most applications, such as engineering, economics, and health. Due to their great capacity for learning, adaptation, and generalization, ANNs can handle linear and nonlinear models that other methods are not capable to solve. Composite materials are increasingly used in critical and demanding applications, mainly due to its high specific strength and stiffness. However, the challenging of the current Structural Health Monitoring (SHM) methodologies includes identification, detection, and quantification of the damage and, also the prediction of the residual resistance/life of the structure. Therefore, this work proposes a methodology based on ANNs to detect damage in composite structures. Initially, the vibrationbased method was applied using Frequency Response Functions (FRFs) along with Principal Component Analysis (PCA). This tool seeks to reduce the dimensionality of the original data while maintaining its characteristics. Next, a multi-layer neural network was developed for detecting damage in composite plates made of Carbon Fiber Reinforced Polymer (CFRP). Finally, it is discussed the potentialities and limitations of the methodology for use in damage detection systems.

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“…Moreover, because MFC is more sensitive than AFC Active Fiber Composite sensors, they are easy to assembly on the structure and to use "plug and play" . The piezoelectric sensor coefficients of constitutive matrix were obtained by Sartorato et al 2015 andMedeiros 2016 , which are shown in Table 3.…”

Section: Sandwich Structures Specimens: Materials and Sensorsmentioning

confidence: 99%

“…Coefficients of constitutive matrix for piezoelectric sensor M2814 fromSartorato et al 2015 andMedeiros 2016 . …”

mentioning

confidence: 99%

Structural Health Monitoring of Sandwich Structures Based on Dynamic Analysis

Marques

Flor

Medeiros

et al. 2018

Lat. Am. j. solids struct.

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This work aims to contribute to the development of SHM systems based on vibration methods to be applied on sandwich structures. The main objective is focused on experimental damage identification via changes in the Frequency Response Function FRF with the usage of damage metrics. Specimens of sandwich structures made from skins of epoxy resin reinforced by glass fiber and a core of PVC foam are manufactured. First, preliminary nondamped Finite Element FE models are performed, and results obtained are used to define the frequency range of interest for the experimental procedure. After that, vibration experimental analyses are carried out on undamaged specimens. The natural frequencies are compared to the preliminary FE results. Second, experimental analyses are performed on damaged specimens with and without piezoelectric sensors. Then, damage metric values are calculated based on FRFs for damaged and undamaged structures, which were obtained from experimental and FE analyses with damping effects. In addition, a new procedure is proposed to improve the quality of results provided by the damage metric. It is shown that the new procedure is very effective to identify the damage using both amplitude and phase from FRFs. Lastly, it is discussed the potential and limitations of the FE model to predict damage metric values, comparing to experimental data.

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Development of a criterion for predicting residual strength of composite structures damaged by impact loading

Cited by 10 publications

References 84 publications

Dynamic response of laminated composites using design of experiments: An experimental and numerical study

Dynamic response of laminated composites using design of experiments: An experimental and numerical study

Artificial neural networks applying to detect damage in carbon fiber/epoxy composite

Structural Health Monitoring of Sandwich Structures Based on Dynamic Analysis

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