Detail publikace

Advances in low cycle fatigue probabilistic modeling

CANTELI, A. CASTILLO, E., DÍAZ-SALAMANCA, D., MUNIZ-CALVENTE, M., SEITL, S.

Originální název

Advances in low cycle fatigue probabilistic modeling

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

New advances in the probabilistic S-N model proposed by Castillo and Canteli are presented. The requirements for a S-N model derivation to be valid are emphasized, in particular, that of the compatibility between the statistical distributions of lifetime and stress reference variable. The definition of the generalized reference variable (GRV) in the S-N field, as GRV = psi & sdot;sigma M, where psi is a non-dimensional factor derived from the sigma - epsilon law of the material, allows the former model to be applied to LCF data. The new model ensures the incontrovertible and unitary definition of the scatter band in the S-N field and the justification of an asymptotic lower limit of the lifetime, N0. As a result, the stress- and strain-based approaches can be envisaged as a unique probabilistic psi sigma M -N approach applicable in the three conventional, i.e., LCF, HCF and VHCF domains. An extension as the psi sigma M -R -N model that includes the stress ratio effect is presented. The utility of the model is confirmed with the assessment of LCF data from different external experimental campaigns.

Klíčová slova

S -N model; Low cycle Fatigue (LCF); Probabilistic assessment; Generalized reference variable (GRV); psi non-dimensional factor; Experimental validation

Autoři

CANTELI, A.; CASTILLO, E., DÍAZ-SALAMANCA, D., MUNIZ-CALVENTE, M., SEITL, S.

Vydáno

7. 8. 2024

Nakladatel

ELSEVIER

Místo

AMSTERDAM

ISSN

0167-8442

Periodikum

Theoretical and Applied Fracture Mechanics

Ročník

133

Číslo

8

Stát

Nizozemsko

Strany od

1

Strany do

16

Strany počet

16

URL

https://www.sciencedirect.com/science/article/pii/S0167844224003616?via%3Dihub

BibTex

@article{BUT193654,
  author="Alfonso Fernández {Canteli} and Enrique {Castillo} and Diego {DÍAZ-SALAMANCA} and Miguel {Muňiz-Calvente} and Stanislav {Seitl}",
  title="Advances in low cycle fatigue probabilistic modeling",
  journal="Theoretical and Applied Fracture Mechanics",
  year="2024",
  volume="133",
  number="8",
  pages="1--16",
  doi="10.1016/j.tafmec.2024.104611",
  issn="0167-8442",
  url="https://www.sciencedirect.com/science/article/pii/S0167844224003616?via%3Dihub"
}