Building of constant life diagrams of fatigue using artificialneural networks

International Journal of Fatigue

Volumn 27, Issue 7, 2005, Pages 746-751

  Júnior, Raimundo Carlos Silverio Freire ^a   Neto, Adrião Duarte Dória ^a   Aquino, Eve Maria Freire De ^a  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

Author keywords

ANN; Constant life diagram of fatigue; Plastic reinforced with fiberglass

Indexed keywords

ALGORITHMS; FAILURE (MECHANICAL); GLASS FIBER REINFORCED PLASTICS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY; RESIN TRANSFER MOLDING; STRESSES;

ANN; CONSTANT LIFE DIAGRAM OF FATIGUE; FIBER-MATRIX SYSTEM; PLASTIC REINFORCED WITH FIBERGLASS;

FATIGUE TESTING;

EID: 16244373930     PISSN: 01421123     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijfatigue.2005.02.003     Document Type: Article

References (12)

1. J.A. Lee, D.P. Almond, and B. Harris The use of neural network for the prediction of fatigue lives of composite materials Compos Part A: Appl Sci Manuf 30 10 1999 1159 1169
2. T.P. Philippidis, and A.P. Vassilopoulos Complex stress state effect on fatigue life of GRP laminates. Part I, experimental Int J Fatigue 24 2002 813 823
3. Y. Al-Assaf, and H. El Kadi Fatigue life prediction of unidirectional glass fiber/epoxy composite laminate using neural network Compos Struct 53 1 2001 65 71
4. H. El Kadi, and Y. Al-Assaf Prediction of the fatigue life prediction of unidirectional glass fiber/epoxy composite laminate using different neural network paradigms Compos Struct 55 2002 239 246
5. H. El kadi, and Y. Al-Assaf Energy based fatigue life prediction of fiberglass/epoxy composites using modular neural network Compos Struct 57 2002 85 89
6. Haykin H. Redes Neurais Princípios e Prática, 2° Ed.; 2001. p. 893.
7. DOE/MSU 2003. Composite Material Fatigue Database, Montana State University-Bozeman, p. 272.
8. N. Wahl, D. Samborsky, J. Mandell, and D. Cairns Spectrum fatigue lifetime and residual strength for fiberglass laminates in tension Wind Energy 2001 2001 49 59
9. N. Wahl, D. Samborsky, J. Mandell, and D. Cairns Effects of modeling assumptions on the accuracy of spectrum fatigue lifetime predictions for a fiberglass laminate Wind Energy 2002 2002 19 26
10. Mandell J, Reed R, Samborsky D, DOE/MSU Composite material fatigue database: test, methods, material and analysis, SAND97-3002, Sandia National Laboratories; 1997. p. 140.
11. P. Read, and R. Shenoi A review of fatigue damage modelling in the context of marine FRP laminates Marine Structures 8 1995 257 278
12. Silva PHF, Melo MAB, Dória Neto AD. Fast and accurate neural network GaAs MESFET model for time domain circuit simulation, SBMO/IEEE MTT-S IMOC Proceedings; 2001.