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Volumn 58, Issue 2-3 SPEC. ISS., 2005, Pages 261-267

Artificial neural network approach to low cycle fatigue and creep-fatigue interaction life prediction of modified 9Cr-1Mo ferritic steel

Author keywords

[No Author keywords available]

Indexed keywords


EID: 28244450717     PISSN: 0019493X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (11)
  • 9
    • 0006226024 scopus 로고
    • National Institute for Materials Science, Japan
    • NRIM Fatigue Data Sheet, National Institute for Materials Science, Japan, No. 78 (1993).
    • (1993) NRIM Fatigue Data Sheet , vol.78


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.