A Bayesian statistics based investigation of binder hardening’s influence on the effective strength of particulate reinforced metal matrix composites (PRMMC)-Reference-Cited by-同舟云学术

A Bayesian statistics based investigation of binder hardening’s influence on the effective strength of particulate reinforced metal matrix composites (PRMMC)

Published:2019-08 Issue: Volume:159 Page:151-164
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Chen Geng,Jiang Keng,Zhang Lele^ORCID,Bezold Alexander,Weichert Dieter,Broeckmann Christoph

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering

Reference84 articles.

1. On the macroscopic theory of inelastic stress-strain-time-temperature behavior;Drucker,1963

2. On a new multiaxial fatigue limit criterion: theory and application;Dang Van,1989

3. Revisiting the Dang Van criterion;Charkaluk;Procedia Engineering,2009

4. Fatigue and shakedown in metal matrix composites;Dvorak,1973

5. Shakedown of unidirectional composites;Tarn;Int J Solids Struct,1975

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