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Investigation of fatigue phenomenon in short-fiber reinforced composites | ||
| Mechanics of Advanced Composite Structures | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 28 خرداد 1405 اصل مقاله (790.65 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/macs.2026.39889.1960 | ||
| نویسندگان | ||
| Roham Rafiee* 1؛ Alireza Mohammad-Shirazi2 | ||
| 1Composites Research Laboratory, CollegeofInterdisciplinaryScienceandTechnology, University of Tehran | ||
| 2Composites Research Laboratory, College of InterdisciplinaryScienceandTechnology, University of Tehran | ||
| تاریخ دریافت: 10 آذر 1404، تاریخ بازنگری: 15 اردیبهشت 1405، تاریخ پذیرش: 28 خرداد 1405 | ||
| چکیده | ||
| Nowadays, the use of short fiber reinforced composites (SFRC) has become very wide. In the meantime, the investigation of the fatigue behavior of this group of composites is a very demanding topic. In this research, the behaviour of SFRC is computationally studied under cyclic loading for both aligned and randomly-oriented SFRC. As a novel approach, a methodology developed for long-fiber composite is adopted for the purpose of fatigue analysis of SFRC through a micro-macromechanical approach. Namely, the aligned SFRC is firstly converted into virtual long-fiber composite at microscale and then fatigue analysis is performed at macroscale. For randomly-oriented SFRC composite, laminate analogy approach is employed to transform it into virtual long-fiber laminated composites and then fatigue analysis is implemented. The estimated results through computational modelling are compared with available experimental observations in literature. The discrepancy between predictions and experimental measurements for aligned SFRC falls below 10% implying on proper performance of proposed method for aligned SFRC. However, some improvements are required for the specific purpose of randomly-oriented SFRC, since the discrepancy exceeds 25%. | ||
| کلیدواژهها | ||
| Fatigue analysis؛ Short fibers؛ Computational modeling؛ Progressive damage modeling؛ Micro-macromechanical modeling | ||
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آمار تعداد مشاهده مقاله: 34 تعداد دریافت فایل اصل مقاله: 31 |
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