Journal of the Korean Society for Precision Engineering (한국정밀공학회지)
- Volume 16 Issue 7
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- Pages.168-177
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- 1999
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- 1225-9071(pISSN)
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- 2287-8769(eISSN)
A Study on the Prediction of Fatigue Damage in 2024-T3 Aluminium Alloy Using Neural Networks
신경회로망을 이용한 AI 2024-T3합금의 피로손상예측에 관한 연구
- Published : 1999.01.01
Abstract
Fatigue damage is the phenomena which is accumulated gradually with loading cycle in material. It is represented by fatigue crack growth rate da/dN and fatigue life ratio
Keywords
- Fatigue damage;
- Artificial intelligent ftigue damage model;
- Fatigue crack growth rate;
- Fatigue cycle ratio;
- Estimated mean error
- 피로손상;
- 인공지능형 피로손상모델;
- 피로균열성장속도;
- 피로수명비;
- 추정평균오차;