Issue |
MATEC Web of Conferences
Volume 52, 2016
2016 International Conference on Design Engineering and Science (ICDES 2016)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 8 | |
Section | Chapter 1: Modeling and Simulation | |
DOI | https://doi.org/10.1051/matecconf/20165201002 | |
Published online | 11 April 2016 |
Combined Cycle Fatigue Investigation Based on Energy Principle
School of Energy and Power Engineering, Beihang University, Beijing, 100191, China
a Corresponding author: nkalinenko@gmail.com
We present a modified energy-principle based model of fatigue damage accumulation in high temperature alloys usually used in gas turbine engine under combined high cycle fatigue and low cycle fatigue (LCF/HCF) loading conditions. Our model is based on the energy principle which includes a modified approximation formula that describes fatigue crack origin depending on the relative amplitude of stress intensity in the ranges of both high- and low-cycle fatigue under non-isothermal loading. Functional dependence that presents the influence of HCF mechanisms on a fatigue life of our structural material is gradual and it has not breaks of the curve that yields a possibility to rewrite the equation of the S-N curve with taking into account combined cycle fatigue loading. We used the same number of parameters as the initial model. Note, that new parameter interpretation gives clear physical picture. The proposed model is verified by comparing the computed results with the experimental data for one high temperature alloy GH4133.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.