KIT | KIT-Bibliothek | Impressum | Datenschutz

General probability weighted moments for the three-parameter Weibull Distribution and their application in S-N curves modelling

Toasa Caiza, Paul Dario 1; Ummenhofer, Thomas 2
1 Karlsruher Institut für Technologie (KIT)
2 Versuchsanstalt für Stahl, Holz und Steine (VAKA), Karlsruher Institut für Technologie (KIT)

Abstract:

Modelling the statistical fatigue behavior, based on fatigue test results is still a challenge for researchers and engineers. The model proposed by Castillo et al. is one alternative to describe this phenomenon, which is based on a three-parameter Weibull Distribution whose parameters should be estimated. There are several methods to determine these parameters, however there is no consensus about which is the most appropriate. In this article, a general formulation of the probability weighted moments of the Weibull Distribution is presented in order to estimate the parameters mentioned above. Finally, an application with experimental data from concrete specimens and simulated data is presented.


Zugehörige Institution(en) am KIT Versuchsanstalt für Stahl, Holz und Steine (VAKA)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2011
Sprache Englisch
Identifikator ISSN: 0142-1123, 1879-3452
KITopen-ID: 1000028738
Erschienen in International journal of fatigue
Verlag Elsevier
Band 33
Heft 12
Seiten 1533-1538
Nachgewiesen in Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page