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    Fatigue damage modeling in laminated composites by using Rx-FEM and strength tracking method

    Date
    2021-09
    Author
    Lu, Weitsen
    Gao, Zhenjia
    Adluru, Hari K.
    Hoos, Kevin H.
    Seneviratne, Waruna P.
    Mollenhauer, David H.
    Iarve, Endel V.
    Metadata
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    Citation
    Lu, W. -., Gao, Z., Adluru, H. K., Hoos, K. H., Seneviratne, W., Mollenhauer, D., & Iarve, E. V. (2021). Fatigue damage modeling in laminated composites by using rx-FEM and strength tracking method. Paper presented at the 36th Technical Conference of the American Society for Composites 2021: Composites Ingenuity Taking on Challenges in Environment-Energy-Economy, ASC 2021, , 3 2016-2032.
    Abstract
    The durability and residual load carrying capacity of composite materials and structures is of critical importance for increasing their application across the industry. Regularized eXtended Finite Element Method (Rx-FEM) framework for discrete modeling of damage evolution and interaction in laminated composite materials under fatigue loading has been extended to include residual Strength Tracking (ST) method in the Mesh Independent Crack (MIC) insertion constitutive modeling as well as in the initiation phase of the fatigue Cohesive Zone Model (CZM). The ST method was initially proposed for semi empirical analysis of IM7/8852 open-hole specimen test S-N data under spectrum loading and variable R -ratios (R = 0.1, 5, and -1). In the present work, the ST method is implemented as a component of high-fidelity progressive damage analysis framework and is combined with damage variable incremental update technique for the propagation phase within the CZM formulation. 3D validation examples investigating the solution stability under constant amplitude fatigue with respect to the cycle increment size are presented and demonstrate the solution stability within a feasible range of cycles per step.
    Description
    Click on the DOI link to access the conference paper (may not be free).
    URI
    https://doi.org/10.12783/asc36/35893
    https://soar.wichita.edu/handle/10057/22408
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