论文信息 - BUILDING OF CONSTANT LIFE DIAGRAMS OF FATIGUE USING ARTIFICIAL NEURAL NETWORKS

BUILDING OF CONSTANT LIFE DIAGRAMS OF FATIGUE USING ARTIFICIAL NEURAL NETWORKS

Abstract The objective of this paper is to demonstrate the applicability of artificial neural networks on building constant life diagrams of fatigue, making it possible to be obtained from a reduced number of S–N curves. In order to demonstrate this applicability, fatigue data at constant stress for 12 different S–N curves was obtained from the literature. Training three S–N curves, for R=10, 2 and 0.1, produces satisfactory results, however when the number of S–N curves is increased, more reliable solutions are obtained.

[1] R. A. Shenoi,et al. A Review of Fatigue Damage Modelling in the Context of Marine FRP Laminates , 1995 .

[2] Yousef Al-Assaf,et al. Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms , 2002 .

[3] M.A.B. de Melo,et al. Fast and accurate neural network GaAs MESFET model for time-domain circuit simulation , 2001, Proceedings of the 2001 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference. (Cat. No.01TH8568).

[4] Anastasios P. Vassilopoulos,et al. Complex stress state effect on fatigue life of GRP laminates. Part I, experimental , 2002 .

[5] Darryl P Almond,et al. The use of neural networks for the prediction of fatigue lives of composite materials , 1999 .

[6] Douglas S. Cairns,et al. SPECTRUM FATIGUE LIFETIME AND RESIDUAL STRENGTH FOR FIBERGLASS LAMINATES IN TENSION , 2001 .

[7] John F. Mandell,et al. DOE/MSU composite material fatigue database: Test methods, materials, and analysis , 1997 .

[8] Douglas S. Cairns,et al. EFFECTS OF MODELING ASSUMPTIONS ON THE ACCURACY OF SPECTRUM FATIGUE LIFETIME PREDICTIONS FOR A FIBERGLASS LAMINATE , 2002 .

[9] Yousef Al-Assaf,et al. Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks , 2002 .

[10] Yousef Al-Assaf,et al. Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks , 2001 .