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Volumn 75, Issue 3, 1998, Pages 263-269

Fatigue life calculation of flawed structures - Based on artificial neural network with special learning set

Author keywords

Artificial neural network; Fatigue life; Flawed structures

Indexed keywords

FATIGUE OF MATERIALS; LEARNING SYSTEMS; NEURAL NETWORKS; WELDS;

EID: 0032019699     PISSN: 03080161     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0308-0161(98)00040-4     Document Type: Article
Times cited : (7)

References (14)
  • 1
    • 85014447649 scopus 로고
    • Critical analysis of crack propagation laws
    • Paris PC, Erdogan F Critical analysis of crack propagation laws. Trans ASME, J Basic Engng, 1963;85:528-534.
    • (1963) Trans ASME, J Basic Engng , vol.85 , pp. 528-534
    • Paris, P.C.1    Erdogan, F.2
  • 3
    • 0004121095 scopus 로고
    • Section XI, Appendix A. New York: American Society of Mechanical Engineers
    • ASME boiler and pressure vessel code, Section XI, Appendix A. New York: American Society of Mechanical Engineers, 1989.
    • (1989) ASME Boiler and Pressure Vessel Code
  • 4
    • 0029227463 scopus 로고
    • Artificial neural network technology as a method to evaluate the fatigue life of weldments with welding defects
    • Han YL Artificial neural network technology as a method to evaluate the fatigue life of weldments with welding defects. Int J Pres Ves and Piping, 1995;63:205-209.
    • (1995) Int J Pres Ves and Piping , vol.63 , pp. 205-209
    • Han, Y.L.1
  • 6
    • 0029673687 scopus 로고    scopus 로고
    • Artificial neural network technology as a method to evaluate the failure bending moment of pipe with circumferential crack
    • Han YL, Shen SM, Dai SH Artificial neural network technology as a method to evaluate the failure bending moment of pipe with circumferential crack. Int J Pres Ves and Piping, 1996;68:1-6.
    • (1996) Int J Pres Ves and Piping , vol.68 , pp. 1-6
    • Han, Y.L.1    Shen, S.M.2    Dai, S.H.3
  • 7
    • 0029675743 scopus 로고    scopus 로고
    • Artificial neural network method and flawed pipe failure evaluation: Probabilistic models
    • Han YL, Dai SH Artificial neural network method and flawed pipe failure evaluation: probabilistic models. Int J Pres Ves and Piping, 1996;68:203-207.
    • (1996) Int J Pres Ves and Piping , vol.68 , pp. 203-207
    • Han, Y.L.1    Dai, S.H.2
  • 8
    • 0029673048 scopus 로고    scopus 로고
    • Special learning set of neural network and its application in evaluating the failure bending moments of flawed pipes
    • Han YL Special learning set of neural network and its application in evaluating the failure bending moments of flawed pipes. Int J Pres Ves and Piping, 1996;68:7-11.
    • (1996) Int J Pres Ves and Piping , vol.68 , pp. 7-11
    • Han, Y.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.