Computational Modeling and Simulation of Composite Materials

Composite materials are critical in advanced engineering sectors such as aerospace, wind energy, and automotive industries, owing to their exceptional strength-to-weight ratio, fatigue resistance, and customizable properties. These materials are indispensable for high-stress applications, yet their inherent heterogeneity and anisotropy pose significant challenges in accurately modeling and predicting their behavior under complex loading conditions across multiple scales.

This Collection aims to highlight the latest research on computational modeling and simulation of composite materials. Contributions are invited that present novel theoretical frameworks, innovative numerical methods, experimental validations, and interdisciplinary approaches. Topics of interest include, but are not limited to:

• Multiscale Modeling: Bridging different scales to predict composite material behavior.

• Failure and Fatigue Analysis: Modeling fracture, damage, and fatigue under various loading conditions.

• Advanced Material Models: Constitutive models addressing plasticity, damage, and environmental effects.

• Machine Learning: AI-driven approaches, such as PINNs, for efficient and accurate modeling.

• Material Validation: Experimental techniques to validate and explore multi-scale material behavior.

Keywords:

Composite Materials; Computational Modeling; Multiscale Analysis; Fatigue Damage; Fracture Mechanics; Machine Learning; Material Validation; Advanced Material Models

This Collection supports and amplifies research related to SDG 7, SDG 9, SDG 12 and SDG 13.