4.7 Article Proceedings Paper

A generalization of the fatigue Kohout-Vechet model for several fatigue damage parameters

期刊

ENGINEERING FRACTURE MECHANICS
卷 185, 期 -, 页码 284-300

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfracmech.2017.06.009

关键词

Fatigue; Wohler curve; Fatigue damage parameter; Kohout-Vechet model

资金

  1. Portuguese Science Foundation (FCT) [SFRH/BPD/107825/2015]
  2. SciTech - Science and Technology for Competitive and Sustainable Industries [NORTE-01-0145-FEDER-000022]
  3. R&D project - Programa Operacional Regional do Norte (NORTE2020), through Fundo Europeu de Desenvolvimento Regional (FEDER)
  4. Wroclaw University of Science and Technology - Department of Mechanics, Materials Science and Engineering internal, fundamental research program

向作者/读者索取更多资源

A new proposal of generalization of the fatigue Kohout-Vechet (KV) model for different fatigue damage parameters is proposed. The purpose of this generalized model is to describe all fatigue regimes from very low-cycle fatigue (VLCF) to very high-cycle fatigue (VHCF), and accounting for several fatigue damage parameters, such as, strain parameter, Smith-Watson-Topper (SWT) parameter, Walker-like strain parameter, energy-based parameter in uniaxial loading conditions, among others. The full range of fatigue life responses for all loading regimes of materials and structural components are extremely important in the fatigue design. Engineering structures are subjected to different types of loading that cause fatigue failure. These loadings can range from quasi-static monotonic loading to long term dynamic/ cyclic loading. In this paper, a proposal of generalization of the KV model for several fatigue damage parameters was verified and compared with experimental fatigue results under uniaxial loading conditions available in literature. This study validates the importance and applicability of full range fatigue life models for different damage parameters in fatigue life prediction of materials and structural components. (C) 2017 Elsevier Ltd. All rights reserved.

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