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Advancements in Composite Materials through Computational Modeling: Bridging Innovation and Application

Submission Deadline: 01 July 2025 View: 260 Submit to Special Issue

Guest Editors

Prof. Alessio Cascardi, University of Calabria, Italy
Prof. Salvatore Verre, University e-Campus, Italy

Summary

Composite materials have revolutionized various industries, offering enhanced performance and versatility. They are used in aerospace, automotive, civil engineering, and more because of their exceptional mechanical properties, such as high strength-to-weight ratios and durability. The evolution of computational modeling has further catalyzed the development and optimization of composite materials, enabling precise simulations and predictive analyses that are crucial for innovation and application.


This Special Issue aims to explore the synergistic relationship between composite materials and computational modeling. By delving into the latest advancements, methodologies, and applications, this issue will emphasize the significance of integrating computational techniques in the research and development of composite materials. The convergence of these fields not only enhances our understanding of material behavior under various conditions but also accelerates the design process and improves material performance.


The purpose of this Special Issue is to offer a comprehensive platform for researchers, engineers, and practitioners to share their latest findings and innovations at the intersection of composite materials and computational modeling. The scope includes but is not limited to theoretical studies, experimental research, and practical applications that demonstrate the benefits and challenges of using computational models to study and develop composite materials.


Suggested Themes:

1. Computational Techniques for Composite Materials:

   - Finite element analysis (FEA) in composite material design

   - Multiscale modeling and simulation

   - Machine learning and AI applications in material science

 

2. Material Behavior and Properties:

   - Predictive modeling of mechanical and thermal properties

   - Damage and failure analysis

   - Fatigue and fracture mechanics

 

3. Design and Optimization:

   - Optimization algorithms for material selection and design

   - Lightweight structures and topology optimization

   - Bio-inspired and smart composite materials

 

4. Manufacturing and Process Simulation:

   - Modeling and simulation of composite manufacturing processes

   - Additive manufacturing of composites

   - Process-structure-property relationships

 

5. Applications and Case Studies:

   - Aerospace and automotive applications

   - Civil engineering and infrastructure

   - Renewable energy and environmental sustainability

 

By fostering a multidisciplinary dialogue, this Special Issue seeks to bridge the gap between theoretical research and practical application, ultimately contributing to the advancement of composite materials through innovative computational modeling techniques.


Keywords

Composite materials
Computational modeling
Finite element analysis (FEA)
Multiscale simulation
Machine learning in materials science
Material optimization
Damage and failure analysis
Additive manufacturing
Topology optimization
Process-structure-property relationships

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