Special Issue: Modern Mechanics and Emerging Applications for Industry 4.0
Posted on 2025-06-30Summary
The convergence of mechanical sciences with digital technologies, smart materials, and intelligent systems is reshaping the foundation of modern engineering within the context of the Fourth Industrial Revolution (Industry 4.0). As the demand grows for smarter, faster, and more adaptive systems across the aerospace, automotive, biomedical, manufacturing, and infrastructure sectors, modern mechanics is evolving to address these interdisciplinary challenges.
Traditional paradigms in structural analysis, material modeling, and mechanical system design are being augmented by advancements in computational mechanics, additive manufacturing, artificial intelligence, and cyber-physical systems. These innovations enable the development of materials and structures with superior performance, functionality, and adaptability.
However, these emerging applications also introduce significant complexity regarding modeling fidelity, multi-scale interactions, real-time control, and data-driven optimization. Addressing such challenges necessitates a new generation of mechanical modeling techniques, synergistic integration with information technologies, and robust cross-disciplinary collaboration.
This Special Issue invites high-quality contributions that explore these advancements. While the issue welcomes selected extended papers from the 2nd International Conference on Modern Mechanics and Applications (ICOMMA2025) (Ho Chi Minh City, Vietnam, October 17–19, 2025), it is strictly open to external submissions to ensure broad participation and global impact.
All manuscripts must be submitted through the journal’s online system and will undergo a rigorous peer-review process, adhering to the journal’s high standards. Both conference-extended and independent submissions will be evaluated based on originality, technical depth, and relevance to the Special Issue's theme.
Keywords:
- Modern mechanics
- Computational mechanics
- Mechanics 4.0
- Multiphysics modeling
- Smart materials and structures
- Additive manufacturing
- Data-driven modeling
- Machine learning in mechanics
- Bioinspired structures
- Cyber-physical systems
- AI-driven design
Deadline: 30/06/2026
Chief Guest Editor:
- Name: Prof. Dr.Sc. Nguyen Tien Khiem
- Affiliation: Chairman, Vietnam Association for Mechanics (VAM)
- E-mail: ntkhiem@imech.vast.vn; khiemvch@gmail.com
Co-Chief Guest Editor:
- Name: Assoc.Prof. Dr. Vu Hoai Nam
- Affiliation: Faculty of Civil Engineering, University of Transport Technology, Hanoi, Vietnam
- E-mail: hoainam.vu@utt.edu.vn