An appropriate stiffness degradation parameter to monitor fatigue damage evolution in composites

Tang, Rui; Guo, Yi; Weitsman, Y.

doi:10.1016/j.ijfatigue.2003.07.003

Cited by 19 publications

(6 citation statements)

References 8 publications

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“…The three main points include the following: (1) At the early stage of fatigue, the degradation rate of residual stiffness is relatively lower under the high-stress level, while it is higher under the low-stress level, at the final stage of the fatigue, the degradation rate of residual stiffness is relatively higher under the high-stress level, while it is lower under the low-stress level; (2) The higher the stress level is, the more serious the stiffness decreases, conversely, the lower the stress level is, the less serious the stiffness decreases; (3) the stiffness degradation law of GFRP laminates does not show a fast-slow-fast characteristic, which can be found from Refs. 35,36 as well.…”

Section: Parameter Calculation Of Stiffness Degradation Modelmentioning

confidence: 99%

A model of strength degradation for glass fiber reinforced polymer composite laminates under fatigue loading

Song

Tang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to overcome the shortcoming of traditional strength modeling of glass fiber reinforced polymer (GFRP) composite laminates that require a large amount of strength test data, a strength degradation model on the account of residual stiffness degradation data is proposed. First, fatigue damage growth can be described by the gradual reduction of the stiffness and strength, and damage expressed by the two degradation methods are equivalent. Second, according this assumption, the connection between the two damage indices is established, and then a four parameters strength degradation model is obtained. Finally, the proposed model is validated by the applying experimental data of GFRP laminates, and the precision of proposed model is contrasted with other four models. Verification results indicate that if the residual stiffness degradation data is known, the residual strength degradation law can be predicted by a small number of residual strength tests and the presented model has better applicability and higher fitting accuracy.

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Section: Parameter Calculation Of Stiffness Degradation Modelmentioning

confidence: 99%

A model of strength degradation for glass fiber reinforced polymer composite laminates under fatigue loading

Song

Tang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…and numerical work by Kawai et al [19] on unidirectional off-axis laminates. Also, a number of authors reported the tendency of woven specimens to fail close to the grips due to the presence of a complex stress state [1,19,41].…”

Section: Failure Mechanicsmentioning

confidence: 99%

“…However, it was interesting to note that specimens did not fail after delamination, and the separated plies continued to carry the load. Additionally, experiments performed by Tang et al [41] showed that longitudinal stiffness of cross-ply laminates is almost insensitive to the onset and growth of delamination. In the case of the 28° braid angle, specimens fractured perpendicular to the load direction and formed a zig-zag pattern on the surface (Figure 7a).…”

Section: Failure Mechanicsmentioning

confidence: 99%

Application Of FBG Sensors For Fatigue Monitoring Of Advanced Polymer Matrix Composites

Selezneva¹

2021

Preprint

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The utilization of polymer matrix composites (PMCs) in the aerospace industry has increased over the last decade due to their high specific strength. The next generation of PMCs has the potential of being used for applications of elevated temperature (ET). Work conducted in this thesis is aimed at developing test methodology for the characterization of fatigue behavior of PMCs at ET. Conventional strain measurement techniques (e.g. strain gages and extensometers) have limited applicability during cyclic loading. An alternative strain sensing technology is the Fiber Bragg Grating (FBG) sensor. In this thesis surface mounted and embedded FBG sensors are used to monitor stiffness degradation and damage development in woven PMCs during fatigue loading at temperatures up to 200°C. Results demonstrate the applicability of FBGs for fatigue monitoring of PMCs in this temperature range. Also, the effect of temperature on the off-axis properties of PMCs is captured and discussed.

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“…Thus, residual stiffness and strength are frequently used to define damage parameters. Nevertheless, residual strength cannot be evaluated by non-destructive techniques, whereas residual stiffness can be monitored non-destructively and even in real-time during service life [13,37,38]. Therefore, stiffness degradation is a preferable parameter to characterize damage development in a component under cyclic loading.…”

Section: Introductionmentioning

confidence: 99%

A new model for fatigue life prediction based on infrared thermography and degradation process for CFRP composite laminates

Huang

Pastor

Girard

et al. 2019

International Journal of Fatigue

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In this paper, a new fatigue life prediction methodology is proposed by combining stiffness degradation and temperature variation measured by InfraRed Thermographic (IRT) camera. Firstly, the improved thermographic method is used to determine the fatigue limit by using the data of stabilized temperature rising. Following this, a two-parameter model is proposed to characterize the stiffness degradation of CFRP laminates with the increase of cycle numbers. After the calibration parameters and the calculation of the normalized failure threshold stiffness, the whole − S N curve can be obtained in a very short time. The proposed model is applied to both the experimental data of triaxially braided CFRP laminates from literature and those of unidirectional CFRP laminates obtained from our fatigue tests. Results show that predicted − S N curves have a good agreement with traditional tests. The principal interests of this model could be listed as follows: (i) it is a more general criterion applicable to different materials; (ii) it has more physical senses; (iii) it allows the determination of the total S-N curve for composite materials in a short time.

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An appropriate stiffness degradation parameter to monitor fatigue damage evolution in composites

Cited by 19 publications

References 8 publications

A model of strength degradation for glass fiber reinforced polymer composite laminates under fatigue loading

A model of strength degradation for glass fiber reinforced polymer composite laminates under fatigue loading

Application Of FBG Sensors For Fatigue Monitoring Of Advanced Polymer Matrix Composites

A new model for fatigue life prediction based on infrared thermography and degradation process for CFRP composite laminates

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