Life Prediction for Resin-Matrix Composite Materials

Sendeckyj, GP

doi:10.1016/b978-0-444-70507-5.50014-7

Cited by 93 publications

(95 citation statements)

References 41 publications

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“…Most research efforts can be characterized as a study of constant amplitude fatigue followed by the development of a lifetime prediction model, and, finally, an attempt to verify the model by analyzing the fatigue of specimens subjected to a two-block spectrum, with the second block run to failure. Sendeckyj [20] and Bond [21] itemized a research program that would lead to the development of a rational life prediction model. The work, herein summarized, attempts to follow those guidelines [20]; namely, 1. establish an experimental program to investigate the damage process of the laminate 2. determine a valid damage measurement method (metric) 3. develop a life prediction rule based upon the established metric 4. experimentally validate the life prediction rule.…”

Section: Introductionmentioning

confidence: 99%

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Spectrum Fatigue Lifetime and Residual Strength for Fiberglass Laminates

Wahl¹,

Mandell²,

Samborsky³

2002

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This report addresses the effects of spectrum loading on lifetime and residual strength of a typical fiberglass laminate configuration used in wind turbine blade construction. Over 1100 tests have been run on laboratory specimens under a variety of load sequences. Repeated block loading at two or more load levels, either tensile-tensile, compressive-compressive, or reversing, as well as more random standard spectra have been studied. Data have been obtained for residual strength at various stages of the lifetime. Several lifetime prediction theories have been applied to the results.The repeated block loading data show lifetimes that are usually shorter than predicted by the most widely used linear damage accumulation theory, Miner's sum. Actual lifetimes are in the range of 10 to 20 percent of predicted lifetime in many cases. Linear and nonlinear residual strength models tend to fit the data better than Miner's sum, with the nonlinear providing a better fit of the two. Direct tests of residual strength at various fractions of the lifetime are consistent with the residual strength models. Load sequencing effects are found to be insignificant. The more a spectrum deviates from constant amplitude, the more sensitive predictions are to the damage law used. The nonlinear model provided improved correlation with test data for a modified standard wind turbine spectrum. When a single, relatively high load cycle was removed, all models provided similar, though somewhat non-conservative correlation with the experimental results. Predictions for the full spectrum, including tensile and compressive loads were slightly non-conservative relative to the experimental data, and accurately captured the trend with varying maximum load. The nonlinear residual strength based prediction with a power law S-N curve extrapolation provided the best fit to 4 the data in most cases. The selection of the constant amplitude fatigue regression model becomes important at the lower stress, higher cycle loading cases.The residual strength models may provide a more accurate estimate of blade lifetime than Miner's rule for some loads spectra. They have the added advantage of providing an estimate of current blade strength throughout the service life. ACKNOWLEDGMENTS

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Section: Introductionmentioning

confidence: 99%

“…The goal of prediction rules for fiberglass laminates used in the construction of wind turbine blades. Any model that would be readily accepted must be easy to use, contain a minimum of parameters, and be accurate [20].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Fatigue Lifetime and Residual Strength for Fiberglass Laminates

Wahl¹,

Mandell²,

Samborsky³

2002

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“…This is done by finding the inverse function of the life N as a function of S u and then obtaining the fatigue life distribution through a change of variable in the SF or CDF of S u . Description of such a procedure is given in the work of Yang and Liu [55] or Sendeckyj [27]. However, the model by Epaarachchi and Clausen [13] -which is the basis of the current paper -happens to be of a high order and is thus not invertible analytically.…”

Section: Statistical Considerationsmentioning

confidence: 99%

“…As documented by Sendeckyj [27], Degrieck and Van Paepegem [28] or Nijssen [29], many formulations have been proposed to describe the S-N relationship of composites. The current work is based on a model by Epaarachchi and Clausen [13], which is presented in equations 1 and 2.…”

Section: Model Descriptionmentioning

confidence: 99%

Modelling the effect of temperature on the probabilistic stress–life fatigue diagram of glass fibre–polymer composites loaded in tension along the fibre direction

Cormier

Joncas

2017

Journal of Composite Materials

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Predicting the fatigue performance of composites has proven to be a challenge both conceptually, due to the inherent complexity of the phenomenon, and practically, because of the resource-intensive process of fatigue testing. Moreover, mechanical behaviour of polymer matrix composites exhibits a complicated temperature dependence, making the prediction of fatigue performance under different temperatures even more complex and resource intensive. The objective of this paper is to provide a method for the prediction of fatigue life of glass-polymer composites loaded in the fibre direction at various temperatures with minimal experimental efforts. This is achieved by using a static strength degradation approach to fatigue modelling, where only two parameters (including static strength) are temperature dependent, in conjunction with relationships for these two fatigue model parameters temperature dependence. The method relies on fatigue data at a single temperature and simple static tests at different temperatures to predict the effects of temperature on the material's fatigue behaviour. The model is validated on experimental data for two unidirectional (UD) and one woven glass-epoxy composites and is found to accurately predict the effect of temperature on fatigue life of composites. A method to obtain probabilistic stress-life (P − S − N) fatigue diagrams including temperature effects is also discussed. 1

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“…These factors may include; stress amplitude, mean stress, and frequency and waveform of stress cycling during service (Hertzberg, 1989;Sendeckyj, 1990;Harris, 2003).…”

Section: Fatigue Damage and Fracturementioning

confidence: 99%

Fatigue life prediction of unidirectional carbon fiber/epoxy composite on Mars

Anvari¹

2017

J. Chem. Eng. Mater. Sci.

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In the presented study, by applying analytical methods and using experimental data, equations are achieved to predict the fatigue life of unidirectional carbon fiber/epoxy composite (UCFEC) that is applied in aerospace structures. The experimental data used to obtain these equations are achieved by low earth orbit (LEO) environment simulation experiment and other experiments. By employing convex curves analytical method, some equations to predict the fatigue life of unidirectional carbon fiber/epoxy composite in LEO are achieved. Then, by inspiration of convex curves method, steady-linear method to predict the fatigue life of unidirectional carbon fiber/epoxy composite on Mars is proposed. Furthermore, the results of convex curves method have proved that the main factor causing fracture of UCFEC in vacuum thermal cycles is the degradation of inter laminar shear strength between the carbon fiber and epoxy. Finally, the results obtained by these methods are compared with the results from other experiments of composite materials. The comparison showed that the results of this study seem acceptable.

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Life Prediction for Resin-Matrix Composite Materials

Cited by 93 publications

References 41 publications

Spectrum Fatigue Lifetime and Residual Strength for Fiberglass Laminates

Spectrum Fatigue Lifetime and Residual Strength for Fiberglass Laminates

Modelling the effect of temperature on the probabilistic stress–life fatigue diagram of glass fibre–polymer composites loaded in tension along the fibre direction

Fatigue life prediction of unidirectional carbon fiber/epoxy composite on Mars

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