Fatigue life prediction of spot-welded joint by strain energy density factor using artificial neural network

Key Engineering Materials

Volumn , Issue 187 PART 2, 2000, Pages 957-962

  Sohn, Ilseon ^a   Bae, Dongho ^b  

^a Ssangyong Motor Company   (South Korea)

^b Sungkyunkwan University   (South Korea)

Author keywords

Artificial Neural Network; Fatigue Design Criterion; Fatigue Life Prediction; Reliability; Spot Welded Joint; Strain Energy Density Factor

Indexed keywords

EID: 0345925797     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: None     Document Type: Article

References (7)

1. D.H. Bae, J.E. Niisawa and N. Tomioka, Theoretical Analysis of Distribution of Single Spot-Welded lap Joint under Tension-shear Load, Transaction of JSAE, 39 (1988) p.627
2. G.C. Sih, Mechanics o fracture; Method of Analysis and Solution of Crack Problem, 1, Noordhoff International Publishing (1973) p.xxii
3. J. Schijve, A Normal Distribution and a Weibull Distribution for Fatigue Lives, Fatigue Fracture Engineering material Structure, 1-8 (1993) p.851
4. RWMA Committee, RWMA, Residual Spot Welding Manual Vol. 1 (1981) p. 119
5. I.S. Sohn, Ph.D thesis; a Study of Fatigue Design Methods and Expert System Development for Thin Steel Sheet Spot welded Lap Joint, SungKyunKwan University, Seoul, (1998)
6. R.H. Nielsen, Neurocomputing, Addison-Wesley publishing Co., (1989)
7. T. Sakai, Estimation of 3 Parameter of Weibull distribution in Relation to Parameter Estimation of Fatigue Distribution, Japanese Material, 29-316 (1979) p. 17