- HOSOI, Atsushi
- Faculty of Science and Engineering（School of Fundamental Science and Engineering ）/Associate Professor
- Research Theme
- Study on establishing long-term reliability of materials subjected to fatigue loading based on multi-scale evaluation
- Researcher's Website
Tenure Track Researchers ：HOSOI, Atsushi
Establishing the long-term safety of aging infrastructure and saving energy for environmental conservation are mentioned as major issues for our country. Thus, the following research has been conducted from the perspective of multi-scale material evaluation.
Fatigue damage healing by highly-ordered metallic atom rearrangement and recombination
The main cause of failure accidents in machine structures is fatigue. The life of structures can be prolonged if a crack occurring in the structure can be healed. A technique for healing fatigue cracks in metallic materials has not been established yet, although a healing technique for polymer and ceramic materials has been developed. Our group succeeded, ahead of the world, in healing a fatigue crack in metallic material by rearranging and recombining atoms through high-density electron collisions. The aim of this study is to improve the effects of damage healing by revealing the healing mechanism with multi-scale evaluation.
Multi-scale evaluation to predict fatigue damage initiation of CFRP
Carbon fiber reinforced plastics (CFRPs) have attracted attention as main structure members of airplanes and vehicles due to their excellent properties, such as lightness, high strength, and good moldability. The initiation of fatigue damage should be predicted quantitatively for establishing long-term safety of CFRP structures. However, the mechanism of initiating fatigue damage has not been revealed in detail. Our group observed the surface of CFRP 3 dimensionally with a nano-meter scale, and found that initiating damage of CFRP under fatigue is caused by the protuberance of matrix resin around carbon fibers. The aim of this study is to propose a fatigue design guide for CFRP structures by revealing the mechanism of damage growth, and predicting the initiation of fatigue damage quantitatively.