Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods
Alireza Taherzadeh-Fard (),
Alejandro Cornejo,
Sergio Jiménez and
Lucia G. Barbu
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Alireza Taherzadeh-Fard: Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
Alejandro Cornejo: Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
Sergio Jiménez: Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
Lucia G. Barbu: Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, Spain
Mathematics, 2025, vol. 13, issue 10, 1-42
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.
Keywords: composite; damage; simulation; delamination; data-assisted method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2025:i:10:p:1578-:d:1653190
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