Academic Journal
Prediction of statistical life time for unidirectional CFRTP under cyclic loading
| العنوان: | Prediction of statistical life time for unidirectional CFRTP under cyclic loading |
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| المؤلفون: | Nakada, Masayuki, Miyano, Yasushi, Kageta, Soshi, Nishida, Hirofumi, Hayashi, Yutaka, Uzawa, Kiyoshi |
| المساهمون: | JST COI |
| المصدر: | Journal of Reinforced Plastics and Composites ; volume 40, issue 19-20, page 749-758 ; ISSN 0731-6844 1530-7964 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2021 |
| الوصف: | Recently, the Innovative Composite Center of Kanazawa Institute of Technology developed a thermoplastic epoxy resin (TP-EP). Resin-impregnated carbon fiber reinforced TP-EP (CF/TP) strands molded by pultrusion were developed by Komatsu Matere Co., Ltd., for use as tension rods. This study examines the prediction of the statistical life time for these developed CF/TP strands under cyclic tension loading with comparison to our earlier report of similar predictions for carbon fiber reinforced thermoset epoxy resin (CF/TS) strands having a thermoset epoxy resin (TS-EP) as a matrix. First, test methods for static and fatigue strengths at elevated temperatures were developed for CF/TP strands. Second, static and fatigue tensile strengths of CF/TP strands were measured statistically at various constant temperatures under a constant strain rate and frequency. The master curves of statistical fatigue tensile strengths for CF/TP strands were constructed by substituting the measured data into the formulations of these strengths based on the matrix resin viscoelasticity. The fatigue strength characteristics of CF/TP strands were discussed through comparison to those of CF/TS strands with thermosetting epoxy resin as the matrix. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/07316844211005542 |
| الاتاحة: | https://doi.org/10.1177/07316844211005542 https://journals.sagepub.com/doi/pdf/10.1177/07316844211005542 https://journals.sagepub.com/doi/full-xml/10.1177/07316844211005542 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.E07EC385 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/07316844211005542 |
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