Advances in Delamination Analysis and Damage Prediction: A Comprehensive Review on Polymer Composite Materials

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Authors: Dhivya Elumalai, Ananda Babu Arumugam, Yitbarek Gashaw Tadesse, Mesfin Kebede Kassa, Mohit Gupta
Cited by: 1
References: 151

Abstract

ABSTRACT The study simulation of delamination and damage prediction in composite materials is an important area of research that impacts various engineering applications, such as aerospace structures, significantly influencing their static, dynamic, buckling, fatigue, and crack resistance. To this end, this review presents a comprehensive analysis of modern approaches to predicting delamination and damage in polymer composites. In this regard, the review summarizes the views of 200 published studies and examines various computational methods, including finite element formulations, adaptive hierarchical kinematics, extended finite element methods (xFEM), cohesive zone models (CZM), and experimental methods, to evaluate their performance in damage prediction and delamination analysis. This review examines the strengths and weaknesses of each approach and highlights the need for further improvement in delamination analysis and damage prediction in the static, dynamic, buckling, and fatigue response and fracture behavior of composite structures. Dynamic analysis reveals that delamination substantially alters natural frequencies, damping characteristics, and vibration modes while influencing aeroelastic stability and impact resistance. Fatigue and fracture analyses demonstrate the critical roles of residual stress, fiber bridging, and material architecture in governing delamination propagation behavior. Experimental validation techniques, ranging from piezoelectric sensors to laser vibrometry and Lamb wave‐based structural health monitoring, are increasingly integrated with machine learning algorithms to enable real‐time damage detection and localization. Through systematic synthesis of these multidisciplinary advancements, this review identifies emerging trends including transitions toward higher‐order theories, physics‐informed machine learning approaches, and experiment‐numerical hybrid paradigms, collectively offering promising directions for enhancing advanced composite reliability and structural integrity.

Fields of Study & Subjects

Mechanical Behavior of Composites Ultrasonics and Acoustic Wave Propagation Structural Health Monitoring Techniques

Publication details

Journal / source
Engineering Reports
Publisher
Wiley
Volume
8
Issue
2
Publication date
1 February 2026
Language
EN