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- W2376538413 abstract "The fatigue damage of materials is an unsteady process and is difficult to be expressed accurately by the use of traditional mathematical functions. This paper abandoned the theoretical hypothesis of energy even dissipation and linear accumulative damage and adopted the techniques of neural network to describe accurately the complicated non-linear mapping of its relationship with material properties and loading stress, thus really depicted the fatigue damage process of materials. It established the dynamic criterion of fatigue failure which considered comprehensi vely the fatigue properties of materials and the randomness of loading and could reflect correctly the individual characters and mutual relationship between them.Using simulation principle of discrete event to construct the intellectual simulation system for fatigue reliability analysis of materials so as to carry out accurately reliability analysis of fatigue life. Through fatigue testing of normalizing 35 steel under random loading that its accuracy of reliability analysis is verified fairly high." @default.
- W2376538413 created "2016-06-24" @default.
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- W2376538413 date "2000-01-01" @default.
- W2376538413 modified "2023-09-24" @default.
- W2376538413 title "Simulation method on reliability analysis of inte-lligence model for unsteady fatigue damage of materials" @default.
- W2376538413 hasPublicationYear "2000" @default.
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