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A neural network approach to describing the scatter of S-N curves
Bučar, Tomaž (Avtor), Nagode, Marko (Avtor), Fajdiga, Matija (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://dx.doi.org/10.1016/j.ijfatique.2005.08.002 Povezava se odpre v novem oknu

Izvleček
For service life prediction of a structural component, the probability distribution of material fatigue resistance should be determined, given that the scatter of loading spectra is known and a proper damage cumulating model is chosen. In the randomness of fatigue resistance of a material, constant amplitude fatigue test results show that at any stress level the fatigue life is a random variable. Fatigue life in this instance is affected by a variety of influential factors, such as stress amplitude, mean stress, notch factor, temperature, etc. The scope of the paper is to prove that the statistical scatter of the fatigue life Nf at various factors' levels of constant values can be described by the Weibull or lognormal conditional probability density function, which is modelled with a multilayer perceptron. In order to estimatethe unknown parameters of the conditional distribution, generally composed of an arbitrary but finite number of lognormal or Weibull component distributions, we introduced an algorithm based on neural network modelling. To support the main idea, two examples are presented. It can be concluded thatthe suggested neural computing method is suitable for describing the fatigue data trends and the statistical scatter of fatigue life under constant loading conditions for an arbitrary set of influential factors, once the optimal neural network is designed and trained.

Jezik:Angleški jezik
Ključne besede:preskušanje na utrujenost, nelinearni modeli, numerični primeri, S-N curves, fatique life scatter, conditional probability, density function, multilayer perceptions
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2006
Št. strani:str. 311-323
Številčenje:Letn. 28, št. 4
UDK:519.2
ISSN pri članku:0142-1123
COBISS.SI-ID:8820251 Povezava se odpre v novem oknu
Število ogledov:921
Število prenosov:241
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Gradivo je del revije

Naslov:International journal of fatigue
Skrajšan naslov:Int. j. fatigue
Založnik:Elsevier Ltd.
ISSN:0142-1123
COBISS.SI-ID:25643520 Povezava se odpre v novem oknu

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