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An improvement to the methods for estimating the statistical dependencies ofthe parameters of radom load state
Klemenc, Jernej (Avtor), Fajdiga, Matija (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://www.sciencedirect.com/science/journal/0142-1123 Novo okno

Izvleček
One of the biggest problems in the fatigue-life analysis of structures is predicting the parameters of the structure loading spectra under real operating conditions. If the loading spectrum is obtained from a load time series using a two-parametric rainflow counting method, then it is possible topresent the distribution of the corresponding load cycles in the two-dimensional space of the loading-spectrum parametersČ the amplitude and the mean of the load cycles. It is beneficial for the prediction of the load cycles if the distribution of load cycles is described by a continuous probability density function. We found in our previous studies that the different shapes of the multi-component probability density functions of load cycles can be modelled by a mixture of Gaussian functions if the parameters ofthe mixture are estimated using a maximum-likelihood method. One of the mainproblems connected with such an approach is the estimation of the number of components of the load-cycle distribution. This is usually done by a researcher, so the estimation is to a large extent subjective. In this paper, we will describe two methods for estimating the parameters of the mixture of Gaussian functions that almost eliminate the subjective influence of a researcher. The applicability of the two methods will be presented using examples of real load cases.

Jezik:Angleški jezik
Ključne besede:loading spectrum, rainflow method, probability density function, mixture of Gaussian functions
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2004
Št. strani:str. 141-154
Številčenje:Vol. 26, no. 2
UDK:519.2
ISSN pri članku:0142-1123
COBISS.SI-ID:6796059 Povezava se odpre v novem oknu
Število ogledov:404
Število prenosov:168
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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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 Novo okno

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