Modeling of Composite Materials
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 96
Special Issue Editors
Interests: structural sensitivity analysis; composite material; interface mechanics
Special Issues, Collections and Topics in MDPI journals
Interests: structural stability; nonlinear vibration; steel-tube concrete
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, composite materials have been widely utilized in a host of industrial fields such as aerospace, automotive, civil engineering, etc. due to their better mechanical properties with a lower weight. The experimental method is a conventional approach to investigate the mechanical behavior, failure mechanism, and structural design of the composite materials, but it will cost a large quantity of time and money. With the advancement of computer science, the numerical method is gradually adopted by the scholars to cope with this tough task, and there is a great necessity to establish an accurate modeling method for composite materials.
This Special Issue on “Modeling of Composite Materials” seeks high-quality research focusing on the latest advances modeling techniques for all kinds of composite materials or structures. Topics include, but are not limited to, the following:
- Novel applications of Finite Element Method (FEM) and related methods like Extended FEM (XFEM), Smoothed Particle Hydrodynamics (SPH), etc. in modeling composite materials;
- Applications of other advanced methods like Phase Field Method (PFM), PeriDynamics (PD), Discrete Element Method (DEM), etc. in modeling the failure behavior of composite materials;
Applications of Intelligent Algorithm or Machine Learning (Deep Learning) methods in modeling and predicting the mechanical behavior of composite materials.
Dr. Zhonghai Xu
Prof. Dr. Yongping Yu
Dr. Haifeng Liu
Guest Editors
Manuscript Submission Information
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Keywords
- composite materials
- modeling
- finite element method
- extended finite element method
- smoothed particle hydrodynamics
- phase field
- Peridynamics
- discrete element method
- intelligent algorithm
- machine learning
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