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Volumn 57, Issue 1-4, 2002, Pages 85-89

Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks

Author keywords

[No Author keywords available]

Indexed keywords

FATIGUE OF MATERIALS; GLASS FIBERS; NEURAL NETWORKS; STRESS ANALYSIS;

EID: 0036659710     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0263-8223(02)00071-5     Document Type: Article
Times cited : (39)

References (18)
  • 5
    • 0032722381 scopus 로고    scopus 로고
    • Failure of carbon/epoxy composite tubes under combined axial and torsional loading - 1. Experimental results and prediction of biaxial strength by the use of neural networks
    • (1999) Comp Sci Technol , vol.59 , pp. 1779-1788
    • Lee, C.S.1    Hwang, W.2    Park, H.C.3    Han, K.S.4
  • 8
    • 0035399535 scopus 로고    scopus 로고
    • Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks
    • (2001) Comp Struct , vol.53 , pp. 65-71
    • Al-Assaf, Y.1    El Kadi, H.2
  • 9
    • 0036468586 scopus 로고    scopus 로고
    • Prediction of fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural networks paradigms
    • (2002) Comp Struct , vol.55 , pp. 239-246
    • El Kadi, H.1    Al-Assaf, Y.2
  • 11
    • 0028550264 scopus 로고
    • Effect of stress ratio on the fatigue of unidirectional glass fiber/epoxy composite laminae
    • (1994) Composites , vol.25 , pp. 917-924
    • El Kadi, H.1    Ellyin, F.2
  • 18
    • 0342992928 scopus 로고    scopus 로고
    • Fatigue and fracture
    • Cleaveland. OH: ASM International
    • (1997) ASM Handbook , vol.19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.