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Volumn 3, Issue 4, 2009, Pages 1263-1268

Prediction of compressive yield load for metal hollow sphere with crackbased on artificial neural network

Author keywords

Artificial neural network; Compression; Crack; Hollow sphere; Yield load

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BASIS FUNCTION NETWORKS; EQUATORIAL PLANES; EXPERIMENTAL DATA; FOUR-POINT; HOLLOW SPHERE; HORIZONTAL PLANES; THIN-WALLED; YIELD BEHAVIORS; YIELD LOAD;

EID: 77953910491     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (10)
  • 1
    • 77953888932 scopus 로고    scopus 로고
    • Tensional buckling of spherical shells under circumferential shear loads
    • Y. Y. Zhang, Tensional buckling of spherical shells under circumferentialshear loads, Applied Mathematics and Mechanics, no.4, pp.405-410, 1999.
    • (1999) Applied Mathematics and Mechanics , Issue.4 , pp. 405-410
    • Zhang, Y.Y.1
  • 2
    • 0034741533 scopus 로고    scopus 로고
    • Manufacture, characterization and application of cellular metals andmetal foams
    • J. Banhart, Manufacture, characterization and application of cellularmetals and metal foams, Progress in Materials Science, vol.46, no.3, pp.559-632,2001.
    • (2001) Progress in Materials Science , vol.46 , Issue.3 , pp. 559-632
    • Banhart, J.1
  • 4
    • 0037189253 scopus 로고    scopus 로고
    • Behavior of a random hollow sphere metal foam
    • T. J. Lim, B. Smith and D. L. McDowell, Behavior of a random hollowsphere metal foam, Acta Mate rialia, vol.50, pp.2867-2879, 2002.
    • (2002) Acta Mate rialia , vol.50 , pp. 2867-2879
    • Lim, T.J.1    Smith, B.2    McDowell, D.L.3
  • 7
    • 54549091047 scopus 로고    scopus 로고
    • Research on mechanical behavior of super-lightweight structure made ofthin-walled spheres
    • C. W. Wu, P. C. Zhang and P. Zhou, Research on mechanical behavior ofsuper-lightweight structure made of thin-walled spheres, Journal of DalianUniversity of Technology, no.5, pp.625-63O, 2008.
    • (2008) Journal of Dalian University of Technology , Issue.5
    • Wu, C.W.1    Zhang, P.C.2    Zhou, P.3
  • 8
    • 65649099315 scopus 로고    scopus 로고
    • Calculation of bearing capacity of concrete-filled square steel tubeshort columns based on neural network
    • (in Chinese)
    • H. G. Gao, Y. C. Yang and H. J. Wang, Calculation of bearing capacity ofconcrete-filled square steel tube short columns based on neural network, Journalof Shen yang University of Technology, vol.31, no.1, pp.116-120, 2009 (inChinese).
    • (2009) Journal of Shen yang University of Technology , vol.31 , Issue.1 , pp. 116-120
    • Gao, H.G.1    Yang, Y.C.2    Wang, H.J.3
  • 9
    • 53149103587 scopus 로고    scopus 로고
    • Prediction of compressive properties of closed-cell aluminum foam usingartificial neural network
    • R. E. Raj and B. S. S. Daniel, Prediction of compressive properties ofclosed-cell aluminum foam using artificial neural network, ComputationalMaterials Science, vol.43, pp.767-773, 2008.
    • (2008) Computational Materials Science , vol.43 , pp. 767-773
    • Raj, R.E.1    Daniel, B.S.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.