izpis_h1_title_alt

An improved neural computing method for 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.ijfatigue.2007.01.018 Povezava se odpre v novem oknu

Izvleček
The reliability evaluation of structural components under random loading is affected by several uncertainties. Proper statistical tools should be used to manage the large amount of causalities and the lack of knowledge on the actualreliability-affecting parameters. For fatigue reliability 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 suitable damage cumulating model is chosen. In the randomness of fatigue resistance of a material, constant amplitude fatigue test results showthat at any stress level the fatigue life is a random variable. In this instance fatigue life is affected by a variety of influential factors, such asstress amplitude, mean stress, notch factor, temperature, etc. Therefore a hybrid neural computing method was proposed for describing the fatigue data trends and the statistical scatter of fatigue life under constant loading conditions for an arbitrary set of influential factors. To support the main idea, two examples are presented. It can be concluded that the improved neuralcomputing method is suitable for describing the fatigue data trends and the scatter of fatigue life under constant loading conditions for an arbitraryset of influential factors, once the optimal neural network is designed and trained.

Jezik:Angleški jezik
Ključne besede:evalvacija zanesljivosti, numerične metode, statistične metode, verjetnostne analize, nevronalne mreže, S-N curves, fatigue life scatter, probabilistic analysis, neural networks
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2007
Št. strani:str. 2125-2137
Številčenje:letn. 29, št. 12
UDK:519.6:004.032.26
ISSN pri članku:0142-1123
COBISS.SI-ID:10092059 Povezava se odpre v novem oknu
Število ogledov:618
Število prenosov:213
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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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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