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Multiscale and Multiphysics Computational Methods of Heterogeneous Materials and Structures

Submission Deadline: 31 August 2025 View: 1563 Submit to Special Issue

Guest Editors

Dr. Zhiqiang Yang, Harbin Institute of Technology, China
Dr. Zifeng Yuan, Peking University, China
Prof. Yuhang Jing, Harbin Institute of Technology, China
Prof. Xia Tian, Hohai University, China

Summary

In modern engineering applications, heterogeneous materials and structures are often exposed to intricate and severe environments, such as drastic or extreme temperature fluctuations or cycles, posing significant challenges. Due to the complex thermo-mechanical loading and long service life of the structure, the composite materials will occur nonlinear behavior such as fatigue and damage, which eventually lead to the failure of the structure. The composites are usually heterogeneous at microstructure, and the macro effective behaviors of such materials are controlled by the microscopic structure. In particular, owing to the variableness of the component property for the materials and the extraordinary experiment cost, it is very difficult to analyze the strengths and predict the nonlinear mechanical behaviors for the composites according to the experimental investigations alone. Inevitably, the research on the nonlinear multi-physics coupling problems for the heterogeneous composites having multiscale micro-configurations has attracted many scientists’ and engineers’ attention. Therefore, an efficient multiscale method, data-driven multiscale methods or related multiscale numerical technique with less computing cost should be established to characterize the nonlinear behaviors of the heterogeneous composites. This special issue aims to provide a platform for researchers in the field of multiscale and multiphysics modeling and simulation to share their latest research observations and novel ideas.


Keywords

Multiscale and multiphysics fields methods; Nonlinear multiscale problems; Reduced homogenization methods; Data driven multiscale methods; Coupling methods of multiscale and other methods; Molecular simulation coupled with continuum simulation

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