Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods
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-la...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/10/1578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850257066033152000 |
|---|---|
| author | Alireza Taherzadeh-Fard Alejandro Cornejo Sergio Jiménez Lucia G. Barbu |
| author_facet | Alireza Taherzadeh-Fard Alejandro Cornejo Sergio Jiménez Lucia G. Barbu |
| author_sort | Alireza Taherzadeh-Fard |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-201da03ff48b4baeb5eaa18eb99740fa |
| institution | OA Journals |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-201da03ff48b4baeb5eaa18eb99740fa2025-08-20T01:56:31ZengMDPI AGMathematics2227-73902025-05-011310157810.3390/math13101578Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted MethodsAlireza Taherzadeh-Fard0Alejandro Cornejo1Sergio Jiménez2Lucia G. Barbu3Centre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, SpainCentre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, SpainCentre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, SpainCentre International de Mètodes Numèrics a l’Enginyeria (CIMNE), Campus Nord UPC, 08034 Barcelona, SpainThe 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.https://www.mdpi.com/2227-7390/13/10/1578compositedamagesimulationdelaminationdata-assisted method |
| spellingShingle | Alireza Taherzadeh-Fard Alejandro Cornejo Sergio Jiménez Lucia G. Barbu Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods Mathematics composite damage simulation delamination data-assisted method |
| title | Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods |
| title_full | Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods |
| title_fullStr | Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods |
| title_full_unstemmed | Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods |
| title_short | Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods |
| title_sort | numerical analysis of damage in composites from intra layer to delamination and data assisted methods |
| topic | composite damage simulation delamination data-assisted method |
| url | https://www.mdpi.com/2227-7390/13/10/1578 |
| work_keys_str_mv | AT alirezataherzadehfard numericalanalysisofdamageincompositesfromintralayertodelaminationanddataassistedmethods AT alejandrocornejo numericalanalysisofdamageincompositesfromintralayertodelaminationanddataassistedmethods AT sergiojimenez numericalanalysisofdamageincompositesfromintralayertodelaminationanddataassistedmethods AT luciagbarbu numericalanalysisofdamageincompositesfromintralayertodelaminationanddataassistedmethods |