Study on the Fatigue Modeling of FRP Composite Materials

DOI

10.2991/iceep-16.2016.131How to use a DOI?

Keywords

Fatigue life model; Nonlinear regression model; FRP; Genetic Algorithm

Abstract

In this paper, three fatigue models are employed and proposed for modeling the fatigue life of different fiber-reinforced composite material systems. In order to identify the unknown parameters in these models, Genetic Algorithm (GA) is used for estimating its values. This technique is a stochastic process that leads straight to different S-N curves that predicts the trend of the experimental data without the need for any assumptions. The calculation results show that these three models, especially the nonlinear regression model, whose parameters are assigned by using GA are all satisfied with the experimental data, and the average value of RMSE is below 0.1. The method of fatigue damage simulation presented should have a very good application prospect.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cuixia Zhou
AU  - Shiming Zhou
AU  - Yiliang Peng
AU  - Qing Sun
PY  - 2016/11
DA  - 2016/11
TI  - Study on the Fatigue Modeling of FRP Composite Materials
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 763
EP  - 767
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.131
DO  - 10.2991/iceep-16.2016.131
ID  - Zhou2016/11
ER  -