Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

A Novel Damage Model of Fatigue Life Prediction for Metallic Structures

Authors
Yibing Wang, Yuanming Xu, Xinling Liu, Kai Zhao
Corresponding Author
Yibing Wang
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.56How to use a DOI?
Keywords
Damage mechanics, High-circle fatigue, Life prediction, Metal.
Abstract
Fatigue failure is a mail form of engineering structures, especially for aircraft structures. Crack initiation and propagation threat to flight safety. So far, there has been a variety of methods in fatigue life prediction. Within them, damage mechanics method is a special engineering calculating method. Based on theory of damage mechanics, a new life prediction model for high circle fatigue of metal is proposed. The equation of damage evolution adopted here is concise and efficient, from which the formula for fatigue life prediction under general fatigue load could be given. Consequently, the damage parameter can be determined through standard fatigue experimental data. This new method simplifies the traditional method of life prediction, and reflects the performance of the material fatigue damage concisely and accurately.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.56How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yibing Wang
AU  - Yuanming Xu
AU  - Xinling Liu
AU  - Kai Zhao
PY  - 2016/06
DA  - 2016/06
TI  - A Novel Damage Model of Fatigue Life Prediction for Metallic Structures
BT  - 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.56
DO  - https://doi.org/10.2991/mecs-17.2017.56
ID  - Wang2016/06
ER  -