Publication detail

Advances in low cycle fatigue probabilistic modeling

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

Original Title

Advances in low cycle fatigue probabilistic modeling

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

7. 8. 2024

Publisher

ELSEVIER

Location

AMSTERDAM

ISBN

0167-8442

Periodical

Theoretical and Applied Fracture Mechanics

Year of study

133

Number

8

State

Kingdom of the Netherlands

Pages from

1

Pages to

16

Pages count

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"
}