Prognosis of fatigue induced stiffness degradation in GFRPs using multi-modal NDE data

Banerjee, Portia; Palanisamy, Rajendra Prasath; Удпа, Лалита; Haq, Muhammad Zia Ul; Deng, Yiming

doi:10.1016/j.compstruct.2019.111424

Cited by 21 publications

(5 citation statements)

References 26 publications

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“…The higher of the glass transition temperature (T g ) of the specimens, the more stable of the three-dimensional reticular macromolecular structure in the specimens matrix system. 33,34 Therefore, the structural variation of the specimens matrix system is indirectly represented by the T g . The T g value at different curing processes is obtained by equidistant method, as shown in Figure 6B,C.…”

Section: Matrix System Structure Variationmentioning

confidence: 99%

Research on curing kinetics of multiaxial warp‐knitted composites

et al. 2023

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In this paper, the differential scanning calorimetry (DSC) was used to test the crosslinking reaction system between epoxy resin and curing agent, and the curing kinetic model of the resin system was established by means of phenomenal model. The optimal curing process was obtained based on DSC curve. The quadriaxial warp‐knitted composite specimens were prepared by vacuum‐assisted resin infusion (VARI). The effects of curing process on mechanism properties and failure mechanism of the composite specimens were studied experimentally. Results show that the cross‐linking reaction between epoxy resin and curing agent agrees with the autocatalytic reaction model and the curing kinetics model could be used to characterize the curing process of the matrix. The optimum curing process could be used to improve the interface properties between the matrix and the fiber, and the crack progress will be inhibited as the specimen bearing the external force, and the mechanical properties of the specimen is also improved significantly. Result could provide a theoretical basis for the study of curing kinetics of epoxy resin, the exploration of curing process of composite materials and improve the strength of composits.

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Section: Matrix System Structure Variationmentioning

confidence: 99%

Research on curing kinetics of multiaxial warp‐knitted composites

et al. 2023

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“…According to the description of fatigue delamination propagation in composite laminates in [20], it is assumed that the delamination first rapidly grows and then gradually tends to slow down with increased fatigue loading; that is, the delamination growth rate decreases with increasing delamination size. Moreover, the residual stiffness usually decreases with increasing load cycles and its degradation rate gradually declines, as can be seen in [20,21,37]. Because compression strain is inversely correlated with residual stiffness, the evolution path of compression strain can also be assumed.…”

Section: Rul Prediction Of Composite Laminates With Delaminationmentioning

confidence: 99%

“…These measurements were fused with a strain energy release rate model in a particle filtering framework to predict the remaining life of laminate subjected to constant amplitude fatigue loading. Banerjee et al [21] extracted features from OTS images and GW signals to estimate the normalized stiffness of glass fiber-reinforced polymer structures and used a 30% residual stiffness as the failure threshold for lifetime estimation. Nevertheless, challenges still exist in predicting residual life of composite structures.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Prediction of Remaining Useful Life for Composite Laminates with Unknown Inputs and Varying Threshold

Guo

Zhang²,

Wang³

2022

Machines

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Prognostics and health management (PHM) has emerged as an essential approach for improving the safety, reliability, and maintainability of composite structures. However, an obstacle remains in its damage state estimation and lifetime prediction due to unknown inputs. Thus, a self-calibration Kalman-filter-based framework for residual life prediction is proposed, which involves unknown input items in the fatigue damage evolution model and employs health-monitoring data to estimate and compensate for them. Combined with the time-varying structural failure threshold, the remaining useful life (RUL) of composite laminates subjected to fatigue loading is predicted, providing a novel solution to the problem of unknown inputs in PHM. The simulation results demonstrate that the developed method can estimate the performance degradation state well, and its RUL prediction accuracy is within 5% with existing unknown inputs such as foreign impact damage.

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“…Since the methodology proposed in Refs. [22,23] is a promising approach for long-term reliability studies and real-time applications, we have adopted their methodology and intend to further improve upon it.…”

Section: Introductionmentioning

confidence: 99%

Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filters

et al. 2021

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Composite materials are extensively used in aircraft structures, wherein they are subjected to cyclic loads and subsequently impact-induced damages. Progressive fatigue degradation can lead to catastrophic failure. This highlights the need for an efficient prognostic framework to predict crack propagation in the field of structural health monitoring (SHM) of composite structures to improve functional safety and reliability. However, achieving good accuracy in crack growth prediction is challenging due to uncertainties in the material properties, loading conditions, and environmental factors. This paper presents a particle-filter-based online prognostic framework for damage prognosis of composite laminates due to crack-induced delamination and fiber breakage. An optimized Paris law model is used to describe the damage propagation in glass-fiber-reinforced polymer (GFRP) laminates subject to low-velocity impacts. Our proposed methodology deduces the jump energy/inflection point online wherein the damage growth switches from rapid degradation to slow degradation. The prediction results obtained are compared with the conventional Paris law model to validate the need for an optimized bimodal crack growth propagation model. The root mean square error (RMSE) and remaining useful life (RUL) prediction errors are used as the prognostic metrics.

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Prognosis of fatigue induced stiffness degradation in GFRPs using multi-modal NDE data

Cited by 21 publications

References 26 publications

Research on curing kinetics of multiaxial warp‐knitted composites

Research on curing kinetics of multiaxial warp‐knitted composites

Real-Time Prediction of Remaining Useful Life for Composite Laminates with Unknown Inputs and Varying Threshold

Online Prognosis of Bimodal Crack Evolution for Fatigue Life Prediction of Composite Laminates Using Particle Filters

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