IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i10p1578-d1653190.html
   My bibliography  Save this article

Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods

Author

Listed:
  • Alireza Taherzadeh-Fard

    (Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
    Civil and Environmental Engineering Department (DECA), ETSECCPB, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Campus Nord, 08034 Barcelona, Spain)

  • Alejandro Cornejo

    (Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
    Civil and Environmental Engineering Department (DECA), ETSECCPB, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Campus Nord, 08034 Barcelona, Spain)

  • Sergio Jiménez

    (Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
    Civil and Environmental Engineering Department (DECA), ETSECCPB, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Campus Nord, 08034 Barcelona, Spain)

  • Lucia G. Barbu

    (Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
    Civil and Environmental Engineering Department (DECA), ETSECCPB, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Campus Nord, 08034 Barcelona, Spain)

Abstract

The simulation of damage in composite materials is an important research area that impacts different engineering applications from aerospace structures to renewable energy systems. This review provides a comprehensive analysis of current damage modeling approaches, including intra-layer and inter-layer failures. Various numerical strategies, such as continuum damage mechanics (CDM), cohesive zone models (CZM), extended finite element methods (XFEM), phase-field models (PFM), and peridynamics (PD), are examined to assess their efficiency in predicting crack initiation, propagation, and interaction. Additionally, the role of data-assisted (driven) techniques, such as machine learning, in enhancing predictive capabilities is explored. This review highlights the strengths and limitations of each approach, underscoring the need for further advancements in computational efficiency, multiscale modeling, and integration with experimental data. The findings serve as a foundation for future research into optimizing damage prediction techniques to improve the reliability and durability of composite structures.

Suggested Citation

  • Alireza Taherzadeh-Fard & Alejandro Cornejo & Sergio Jiménez & Lucia G. Barbu, 2025. "Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods," Mathematics, MDPI, vol. 13(10), pages 1-42, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:10:p:1578-:d:1653190
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/10/1578/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/10/1578/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:10:p:1578-:d:1653190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.