Table of Content

Open Access

ARTICLE

Cyclic plasticity and damage of a metal matrix composite by a gradient-enhanced CDM model

G. Minak1, F. E. G. Chimisso2, H. S. Costa Mattos3
1 DIEM, Facoltà di Ingegneria, Università degli Studi di Bologna, Italia
2 DMC, Fundação Universidade Federal Do Rio Grande, Brasil
3 LMTA, DEM, Universidade Federal Fluminense, Brasil

Structural Durability & Health Monitoring 2005, 1(3), 193-202. https://doi.org/10.3970/sdhm.2005.001.193

Abstract

Cyclic plasticity and damage of a metal matrix composite have been studied in the framework of continuum damage mechanics. The material was considered as macroscopically homogeneous and a model incorporating damage gradient was applied. Strain-controlled fully reversed low-cycle fatigue uniaxial tests were performed to identify material parameters related to yield stress, isotropic and kinematic hardening, fatigue life and damage diffusion. From previous studies it has been found that in the most general case the parameters of the model are constant or depend exponentially on total strain so that only two or three tests are needed for the characterisation. The results obtained from the application of the model in terms of hysteresis loop shape and fatigue life were compared to the experimental results and to the Manson-Coffin curve. Very good agreement was found, even if the experimental results were much spread, mostly due to the effect of brittle reinforcement clustering.

Keywords

Metal matrix composites, Low cycle fatigue, Continuum damage mechanics, Fatigue testing.

Cite This Article

Minak, G., E., F., S., H. (2005). Cyclic plasticity and damage of a metal matrix composite by a gradient-enhanced CDM model. Structural Durability & Health Monitoring, 1(3), 193–202.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1061

    View

  • 733

    Download

  • 0

    Like

Share Link

WeChat scan