Uniaxial fatigue tests of rubber dumbbell specimens under different mean and amplitude of strain are carried out. An Extreme Learning Machine (ELM) model optimized by Dragonfly Algorithm (DA) is proposed to predict the fatigue life of rubber based on measured rubber fatigue life data. Mean and amplitude of strain and measured rubber fatigue life are taken as input variables and output variables respectively in DA-ELM model. For comparison, genetic algorithm (GA) and particle swarm optimization (PSO) are used to optimize ELM parameters, and GA-ELM and PSO-ELM models are established. The comparison results show that DA-ELM model performs better in predicting the fatigue life of rubber with least dispersion. The coefficients of determination for the training set and test set are 99.47% and 99.12%, respectively. In addition, a life prediction model equivalent strain amplitude as damage parameter is introduced to further highlight the superiority of DA-ELM model. The life distribution diagrams shows that DA-ELM model prediction results are within 2 times dispersion line, and equivalent strain amplitude life model prediction results are mostly within 4 times dispersion line. The former has higher prediction accuracy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fatigue Life Prediction Method for Natural Rubber Material Based on Extreme Learning Machine


    Additional title:

    Sae Technical Papers


    Contributors:
    Zhen, Ran (author) / Lai, Wei (author) / Shangguan, Wen-Bin (author) / Wang, Yonggang (author)

    Conference:

    WCX SAE World Congress Experience ; 2022



    Publication date :

    2022-03-29




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Fatigue Life Prediction Method for Natural Rubber Material Based on Extreme Learning Machine

    Lai, Wei / Wang, Yonggang / Zhen, Ran et al. | British Library Conference Proceedings | 2022


    Fatigue Life Prediction of Rubber Nodes

    Wu, H. / Wu, P. / Lan, Q. | British Library Conference Proceedings | 2009


    Fatigue life prediction of a rubber material based on dynamic crack growth considering shear effect

    Kim, H. J. / Song, M. W. / Moon, H. I. et al. | Springer Verlag | 2014


    Fatigue life prediction of a rubber material based on dynamic crack growth considering shear effect

    Kim, H. J. / Song, M. W. / Moon, H. I. et al. | Online Contents | 2014


    Fatigue life prediction of a rubber material based on dynamic crack growth considering shear effect

    Kim, H. J. / Song, M. W. / Moon, H. I. et al. | British Library Online Contents | 2014