Fatigue crack propagation in composite laminates by a novel approach based on the S-N diagrams

Antonio Raimondo, Chiara Bisagni

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

This paper focuses on a novel numerical formulation based on cohesive elements and S-N diagram to simulate fatigue-driven delamination in composite laminates. The constitutive model adopts a two-parameters heuristic equation, which coefficients are evaluated using an idealization of the S-N diagram rather than the more commonly used Paris law. The approach is implemented in the finite element code ABAQUS and validated with analysis on Double Cantilever Beam specimen. The numerical outcomes are compared with experimental data taken from literature showing the capability of the model in predicting the crack growth rate. The model is then applied to evaluate the fatigue delamination growth in a specimen similar to the Double Cantilever Beam but with reinforcement plates which force the delamination front to change its shape during the propagation. The results compared with experimental data taken from literature show the effectiveness of the approach in predicting the load-displacement curve and the delamination front shape and position at different load cycles.
Original languageEnglish
Title of host publicationProceedings of 22nd International Conference on Composite Materials (ICCM22), Melbourne, AU, August 11-16, 2019
Number of pages10
Publication statusPublished - 2019
Event22nd International Conference on Composite Materials - Melbourne, Australia
Duration: 10 Aug 201916 Aug 2019
Conference number: 22

Conference

Conference22nd International Conference on Composite Materials
Abbreviated titleICCM22 2019
Country/TerritoryAustralia
CityMelbourne
Period10/08/1916/08/19

Keywords

  • Fatigue
  • Delamination
  • S-N Diagram
  • Cohesive Zone Model

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  • LEaDing Fellows

    Gutierrez, A., Dols Perez, A., Bae, D., Sahoo, H., Wang, W., Lam, K. L., Raimondo, A., Steffelbauer, D. B., Lesne, E. L., Ragno, E., Amador, G. J., Šiaudinyte, L., Sand, M., Robinson Garcia, N., Abil, Z., Purkarthofer, E., Noardo, F., Tasić, J. K., Marin, L., Angeloni, L., loddo, M., Stockill, R. H. J., Franklin, S. W., Hensen, B. J., Dennis, M. J., Afroza Islam, S. T., Kim, T., Manzaneque Garcia, T., Tiringer, U., Marques Penha, F., Esteban Jurado, C., Timmermans, E., McCrum, I. T., Pool, F., Forn-Cuní, G., Will, G., Barrett, H. E., Everett, J. A. C., Kostenzer, J., Luksenburg, J., Hirvasniemi, J., Desai, J., Ruibal, P., Albury, N. J., March, R., Eichengreen, A., Muok, A. R., Cochrane, A., Ravesteijn, B., Riumalló Herl, C. J., Meeusen, C., Biaggi, C., Granger, C., Cecil, C., Fosch Villaronga, E., Sánchez López, E. S., Loehrer, E., da Costa Gonçalves, F., Giardina, F., Wu, H., Gleitz, H. & Khatri, I.

    2/01/171/05/22

    Project: Research

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