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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
Fatigue life prediction under variable loading based on a new damage model
Materials and Design, Volume 32, No. 1, Year 2011
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Description
To examine the performance of nonlinear models proposed in the estimation of fatigue damage and fatigue life of components under random loading, a batch of specimens made of 6082 T 6 aluminium alloy has been studied and some of the results are reported in the present paper. The paper describes an algorithm and suggests a fatigue cumulative damage model, especially when random loading is considered. This paper contains the results of mono-axial random load fatigue tests with different mean and amplitude values performed on 6082 T 6 aluminium alloy specimens. Cycles were counted with rainflow algorithm and damage was cumulated with a new model proposed in this paper and with the Palmgren-Miner model. The proposed model has been formulated to take into account the damage evolution at different load levels and it allows the effect of the loading sequence to be included by means of a recurrence formula derived for multilevel loading, considering complex load sequences. It is concluded that a 'damaged stress interaction damage rule' proposed here allows a better fatigue damage prediction than the widely used Palmgren-Miner rule, and a formula derived in random fatigue could be used to predict the fatigue damage and fatigue lifetime very easily. The results obtained by the model are compared with the experimental results and those calculated by the most fatigue damage model used in fatigue (Miner's model). The comparison shows that the proposed model, presents a good estimation of the experimental results. Moreover, the error is minimized in comparison to the Miner's model. © 2010 Elsevier Ltd.
Authors & Co-Authors
Aid, Abdelkrim
France, Lille
Université de Lille
Algeria, Mascara
Université Mustapha Stambouli de Mascara
Amrouche, Abdelwaheb
France, Lille
Université de Lille
Bachir Bouiadjra, B.
Algeria, Sidi Bel Abbes
Université Djillali Liabes de Sidi Bel Abbes
Saudi Arabia, Riyadh
King Saud University
Benguediab, M.
Algeria, Sidi Bel Abbes
Université Djillali Liabes de Sidi Bel Abbes
Mesmacque, Gérard
France, Lille
Université de Lille
Statistics
Citations: 117
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1016/j.matdes.2010.06.010
ISSN:
02641275