Call for Papers
Special Issue on Size Effects in Materials
Hung Nguyen-Xuan (Hutech University, Vietnam)
Jonathan Tran (RMIT University, Australia)
Timon Rabczuk (Bauhaus University Weimar, Germany)
Deadline: 30 June 2024
Many new materials have been discovered over the last few decades. They include functionally graded materials, composite materials, biomaterials, shape-memory materials, nanostructured materials, carbon nanotubes, high-temperature superconductors, hydrogen storage materials, and 3D printing materials. Under complex loading conditions, structural materials may incur localized plasticity, damage, and crack propagation. These materials have a wide range of applications, and therefore it is crucial to have a good understanding of their mechanical and physical properties.
Size effects play an important role in the investigation of a bridge that connects between macro- and micro-scale levels for materials. The analysis of material behaviors at different scales remains highly challenging even with state-of-the-art supercomputers and modern experimental facilities. Thus, it is necessary to formulate multiscale theoretical, computational, or experimental techniques to investigate all the important mechanisms occurring in materials. This special issue addresses recent experimental, computational, and theoretical advances in the area of materials and structures. Current topics of interest may include but are not limited to:
- Mechanics and physics of hydrogen storage materials, such as porous materials, metal hydrides, chemical hydrides, and proton exchange membrane fuel cells, and hydrogen embrittlement.
- Mechanics and physics of 3D/4D printing materials, such as thermoplastic composites, photopolymers, glass, metals, metal oxides, ABS/ZnO nano- and micro-composites, concrete- and ceramic-based composites, bio-inspired materials, sensors, energy storage materials, and optics (instability, fracture, fatigue, etc.).
- Advances in multiscale modeling techniques and numerical methods, e.g., finite elements, meshfree, isogeometric analysis, peridynamics that involve machine learning techniques in novel atomic, meso-/micro-and macroscale simulations to analyze localized plasticity, damage, and crack propagation in structures.
- Design and manufacture of materials, e.g., design of intelligent microdevices with novel properties and functionalities, advanced manufacturing of intelligent devices, computational modeling, design optimization, and controls.