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Volumn 385-387, Issue , 2008, Pages 533-536

Application of artificial neural network to forecast the tensile fatigue life of carbon material

Author keywords

Artificial neural network; Carbon materials; Forecast; Tensile fatigue life

Indexed keywords

CARBON; DAMAGE DETECTION; ELECTRIC RESISTANCE; FORECASTING; NEURAL NETWORKS; STRESS ANALYSIS;

EID: 54149095418     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
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    • Li, H.1    Hou, X.2    Chen, Y.3
  • 2
    • 0029699502 scopus 로고    scopus 로고
    • The influence of cyclic fatigue damage on the fracture toughness of carbon/carbon composites.Compoties Part A
    • A Ozturk. The influence of cyclic fatigue damage on the fracture toughness of carbon/carbon composites.Compoties Part A, 1996, 27A:641-646
    • (1996) , vol.27 A , pp. 641-646
    • Ozturk, A.1
  • 3
    • 0038665316 scopus 로고    scopus 로고
    • Tensile fatigue of a laminated carbon-carbon composite at room temperature
    • Ken Goto, Hiroshi Hatta, Daisuke Katsu, Terufumi Machida.Tensile fatigue of a laminated carbon-carbon composite at room temperature. Carbon, 2003, (41): 1249-1255
    • (2003) Carbon , vol.41 , pp. 1249-1255
    • Goto, K.1    Hatta, H.2    Katsu, D.3    Machida, T.4
  • 5
    • 0038426799 scopus 로고    scopus 로고
    • Improvement of cyclic fatigue analysis by the use of a tensile master curve in carbon/carbon composites
    • C Tallaron, D Rouby, P Reynaud, G Fantozzi. Improvement of cyclic fatigue analysis by the use of a tensile master curve in carbon/carbon composites. Key Eng Mater, 1999, 164-165:329-332
    • (1999) Key Eng Mater
    • Tallaron, C.1    Rouby, D.2    Reynaud, P.3    Fantozzi, G.4
  • 6
    • 0032097739 scopus 로고    scopus 로고
    • Failure mechanisms analysis of 2D carbon/carbon using acoustic emission monitoring
    • Y Z Pappas, Markopoulos, V Kostopoulos.Failure mechanisms analysis of 2D carbon/carbon using acoustic emission monitoring, NDT & International, 2001, 31(3): 157-163
    • (2001) NDT & International , vol.31 , Issue.3 , pp. 157-163
    • Pappas, Y.Z.1    Markopoulos2    Kostopoulos, V.3
  • 7
    • 0030697640 scopus 로고    scopus 로고
    • S Wang and DDL Cheng. Self-monitoring of strain and damage by a carbon-carbon composite.Carbon, 1997, 35(5):621-630
    • S Wang and DDL Cheng. Self-monitoring of strain and damage by a carbon-carbon composite.Carbon, 1997, 35(5):621-630
  • 8
    • 54149084162 scopus 로고    scopus 로고
    • The forecast of property of materials by using ANN
    • Cai A H, Shun G X.The forecast of property of materials by using ANN. Foundry, 2003, 152 (4): 269-271
    • (2003) Foundry , vol.152 , Issue.4 , pp. 269-271
    • Cai, A.H.1    Shun, G.X.2
  • 10
    • 0033707376 scopus 로고    scopus 로고
    • A thick composite-beam model for delamination prediction by the use of neural networks
    • Valoor M T, Chandrashekhara K. A thick composite-beam model for delamination prediction by the use of neural networks. Composites Science and Technology, 2000, (60):1773-1779
    • (2000) Composites Science and Technology , vol.60 , pp. 1773-1779
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  • 11
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    • Fuzzy neural network modeling of material properties
    • Qian Hancheng, Xia Bocai, Li Shangzheng, et al .Fuzzy neural network modeling of material properties. Journal of Materials Processing Technology, 2002, (122): 196-200
    • (2002) Journal of Materials Processing Technology , vol.122 , pp. 196-200
    • Qian, H.1    Xia, B.2    Li, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.