Nonlinear Fatigue Life Modeling of FRP Composite Materials Based on Genetic Algorithm

Xiao Min Xue; Qing Sun; Xiao Hong Wu; Hu Chang Wang; Xue Lin Zhao; Kun Zhu

doi:10.4028/www.scientific.net/AMR.671-674.1821

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Nonlinear Fatigue Life Modeling of FRP Composite...

Nonlinear Fatigue Life Modeling of FRP Composite Materials Based on 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.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

1821-1825

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.1821

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Online since:

March 2013

Authors:

Xiao Min Xue, Qing Sun, Xiao Hong Wu, Hu Chang Wang, Xue Lin Zhao, Kun Zhu

Keywords:

Fatigue Life Model, FRP, Genetic Algorithm (GA), Nonlinear Regression Model

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