Submission Deadline: 28 February 2027 View: 141 Submit to Special Issue
Assoc. Prof. Zhiqiang Yang
Email: yangzhiqiang@hit.edu.cn
Affiliation: Department of Astronautical Science and Mechanics, Harbin Institute of Technology, Shenzhen, China
Research Interests: homogenization theory, reduced-order multiscale methods, multiscale modeling and computation for composite materials and structures
Prof. Yuhang Jing
Email: jingyh@hit.edu.cn
Affiliation: Department of Astronautical Science and Mechanics, Harbin Institute of Technology, Shenzhen, China
Research Interests: physical properties of materials and devices in extreme environments, such as the radiation damage evolution in semiconductor materials and devices, force field development, ion conduction in solids, heat transfer. Computational methods involve density functional theory (DFT), molecular dynamics (MD), coarse graining (CG), machine learning (ML), finite element method (FEM), and multiscale methods
Assoc. Prof. Qiang Ma
Email: maqiang809@scu.edu.cn
Affiliation: College of Mathematics, Sichuan University, Chengdu, China
Research Interests: multiscale computational methods in mathematics and solid mechanics and mulit-physics modeling
Heterogeneous materials and structures are often exposed to intricate and severe environments in real-world engineering problems, such as extreme temperature fluctuations or cycles, posing significant challenges. Owing to the structure's complex loading and long service life, the heterogeneous materials will exhibit nonlinear mechanical behavior. The composites are usually heterogeneous at the microstructure, and the macroscopic effective behavior of such materials is controlled by the microscopic structure.
In particular, owing to the variability of component properties in the materials and the extraordinary experimental cost, it is very difficult to analyze the strengths and predict the nonlinear mechanical behaviors of the materials based on experimental investigations alone. Inevitably, research on multiphysics problems in heterogeneous composites with multiscale micro-configurations has attracted the attention of many scientists and engineers. Thus, an effective, data-driven multiscale method, or a related numerical technique, should be developed to investigate the macro behavior of heterogeneous materials.
This special issue aims to provide a platform for researchers in multiscale modeling and simulation to share their latest findings and novel ideas.
Potential topics that the special issue will cover:
· Multiscale methods
· Data driven multiscale methods
· Coupling methods of multiscale and other methods (phase field, peridynamic, meshless method and so on)
· Nonlinear multiscale problems
· Homogenization
· Reduced homogenization methods
· Molecular simulation coupled with continuum simulation
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