Machine learning and artificial intelligence in polymer matrix composite materials: A review

Ayat Bahaa Abdulhussein; İzzet Fatih Şentürk; Mustafa Can Topbasoglu; Ismail Yasin Altayli

doi:10.35860/iarej.1753185

Machine learning and artificial intelligence in polymer matrix composite materials: A review

Abstract

This work reveals the transformative impact of artificial intelligence (AI) and machine learning (ML) techniques in the design, analysis, and performance prediction of composite materials. The review we examined systematically evaluated current AI and ML approaches used in composite material research published between 2005-2024. The main application areas of these approaches are determined as mechanical property prediction, process optimization and structural health monitoring. Analyses have shown that a wide range of models, including Artificial Neural Networks (ANN), Support Vector Machines, Decision Trees and hybrid models, have been successfully applied in composite systems. According to the findings of the study, ML models offer remarkable effectiveness in predicting key mechanical properties such as tensile strength, impact resistance and fatigue behavior, providing accuracy of over 90% in many studies compared to traditional methods. However, limited data access, low interpretability of models and high computational costs are emerging as the main obstacles to the widespread use of these methods on an industrial scale. Future research is expected to focus on developing explainable AI approaches, integrating real-time sensor data into models, and supporting sustainable material design strategies. By integrating data-based methods with materials science, it is concluded that artificial intelligence and machine learning techniques have an important transformative potential in terms of accelerating innovation, reducing costs and improving performance in the development of next-generation composite structures.

Keywords

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Details

Primary Language

English

Subjects

Materials Science and Technologies, Composite and Hybrid Materials

Journal Section

Review

Authors

Ayat Bahaa Abdulhussein ^*
0000-0001-6511-8171
Türkiye

İzzet Fatih Şentürk
0000-0002-1550-563X
Türkiye

Mustafa Can Topbasoglu
0000-0002-4130-9798
Türkiye

Ismail Yasin Altayli This is me
0000-0002-9548-2684
Türkiye

Publication Date

April 20, 2026

Submission Date

July 29, 2025

Acceptance Date

January 15, 2026

Published in Issue

Year 2026 Volume: 10 Number: 1

DOI

https://doi.org/10.35860/iarej.1753185

IZ

https://izlik.org/JA88AY77YZ

Cite

RIS / Bibtex

APA

Abdulhussein, A. B., Şentürk, İ. F., Topbasoglu, M. C., & Altayli, I. Y. (2026). Machine learning and artificial intelligence in polymer matrix composite materials: A review. International Advanced Researches and Engineering Journal, 10(1), 83-97. https://doi.org/10.35860/iarej.1753185

AMA

1.Abdulhussein AB, Şentürk İF, Topbasoglu MC, Altayli IY. Machine learning and artificial intelligence in polymer matrix composite materials: A review. Int. Adv. Res. Eng. J. 2026;10(1):83-97. doi:10.35860/iarej.1753185

Chicago

Abdulhussein, Ayat Bahaa, İzzet Fatih Şentürk, Mustafa Can Topbasoglu, and Ismail Yasin Altayli. 2026. “Machine Learning and Artificial Intelligence in Polymer Matrix Composite Materials: A Review”. International Advanced Researches and Engineering Journal 10 (1): 83-97. https://doi.org/10.35860/iarej.1753185.

EndNote

Abdulhussein AB, Şentürk İF, Topbasoglu MC, Altayli IY (April 1, 2026) Machine learning and artificial intelligence in polymer matrix composite materials: A review. International Advanced Researches and Engineering Journal 10 1 83–97.

IEEE

[1]A. B. Abdulhussein, İ. F. Şentürk, M. C. Topbasoglu, and I. Y. Altayli, “Machine learning and artificial intelligence in polymer matrix composite materials: A review”, Int. Adv. Res. Eng. J., vol. 10, no. 1, pp. 83–97, Apr. 2026, doi: 10.35860/iarej.1753185.

ISNAD

Abdulhussein, Ayat Bahaa - Şentürk, İzzet Fatih - Topbasoglu, Mustafa Can - Altayli, Ismail Yasin. “Machine Learning and Artificial Intelligence in Polymer Matrix Composite Materials: A Review”. International Advanced Researches and Engineering Journal 10/1 (April 1, 2026): 83-97. https://doi.org/10.35860/iarej.1753185.

JAMA

1.Abdulhussein AB, Şentürk İF, Topbasoglu MC, Altayli IY. Machine learning and artificial intelligence in polymer matrix composite materials: A review. Int. Adv. Res. Eng. J. 2026;10:83–97.

MLA

Abdulhussein, Ayat Bahaa, et al. “Machine Learning and Artificial Intelligence in Polymer Matrix Composite Materials: A Review”. International Advanced Researches and Engineering Journal, vol. 10, no. 1, Apr. 2026, pp. 83-97, doi:10.35860/iarej.1753185.

Vancouver

1.Ayat Bahaa Abdulhussein, İzzet Fatih Şentürk, Mustafa Can Topbasoglu, Ismail Yasin Altayli. Machine learning and artificial intelligence in polymer matrix composite materials: A review. Int. Adv. Res. Eng. J. 2026 Apr. 1;10(1):83-97. doi:10.35860/iarej.1753185