Our developed accelerated testing methodology (ATM) based on matrix resin viscoelasticity for the long-term life prediction of carbon fiber reinforced plastics (CFRP) was applied to assess the statistical prediction of long-term creep failure time of a carbon fiber/polypropylene unidirectional (CF/PP) laminates under creep bending load. Results show that the statistical long-term creep failure times under an arbitrary constant bending load and temperature for the CF/PP laminates can be easily predicted from the statistical static strengths of the CF/PP laminates measured at several temperatures and the viscoelasticity of matrix PP.
The accelerated testing methodology (ATM) for the statistical life prediction of carbon fiber reinforced plastics (CFRP) under creep and fatigue loads based on the viscoelasticity of matrix resin has been proposed by authors. This method has been successfully applied to the life predictions of unidirectional CFRP with thermosetting epoxy resin as the matrix under tensile and flexural loads. In this paper, this method was applied to the fatigue life prediction of unidirectional CFRP (CF/PP laminates) with thermoplastic polypropylene (PP) as the matrix under tensile and flexural loads, and the effect of matrix viscoelasticity and load cycles on the fatigue behavior of CF/PP laminates were discussed under tensile and flexural loads. First, the viscoelasticity of matrix PP was measured. Second, the static and fatigue strengths of CF/PP laminates were statistically measured at various temperatures and frequencies under tensile and flexural loads. Third, all of material parameters in the fatigue strength formulation in ATM were determined using measured data, and the statistical long-term fatigue strengths of CF/PP laminates were predicted under tensile and flexural loads. As results, comparison with tension and bending test results clarified that the long-term tensile fatigue strength of CF/PP laminates decreases at an accelerated rate as the number of cycles increases, and that the flexural fatigue strength is affected by temperature and frequency rather than by the number of cycles to failure.
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