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Multiscale Computational Methods for Advanced Materials and Structures

Submission Deadline: 31 August 2024 Submit to Special Issue

Guest Editors

Prof. Stelios K. Georgantzinos, Laboratory for Advanced Materials, Structures and Digitalization, Department of Aerospace Science and Technology, National and Kapodistrian University of Athens, Greece

Summary

The special issue titled "Multiscale Computational Methods for Advanced Materials and Structures" provides a comprehensive overview of the latest advancements in computational methods and techniques used for the analysis and design of advanced materials and structures. It encompasses a wide range of topics including, but not limited to, multiscale modeling, numerical simulations, and computational algorithms that are employed to understand the behavior, properties, and performance of advanced materials and structures at different scales. The issue aims to bring together researchers, practitioners, and experts from various fields of engineering and science to share their knowledge, experiences, and insights on the challenges and opportunities associated with the multiscale computational methods and their applications in the development of advanced materials and structures.


Keywords

Multiscale Modeling, Numerical Simulations, Computational Algorithms, Material Behavior, Structural Behavior, Failure Analysis, Performance Optimization, Advanced Materials, Nanostructures, Nanocomposites, Deep Learning, Multi-field Coupling

Published Papers


  • Open Access

    ARTICLE

    A Hybrid Level Set Optimization Design Method of Functionally Graded Cellular Structures Considering Connectivity

    Yan Dong, Kang Zhao, Liang Gao, Hao Li
    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1-18, 2024, DOI:10.32604/cmc.2024.048870
    (This article belongs to the Special Issue: Multiscale Computational Methods for Advanced Materials and Structures)
    Abstract With the continuous advancement in topology optimization and additive manufacturing (AM) technology, the capability to fabricate functionally graded materials and intricate cellular structures with spatially varying microstructures has grown significantly. However, a critical challenge is encountered in the design of these structures–the absence of robust interface connections between adjacent microstructures, potentially resulting in diminished efficiency or macroscopic failure. A Hybrid Level Set Method (HLSM) is proposed, specifically designed to enhance connectivity among non-uniform microstructures, contributing to the design of functionally graded cellular structures. The HLSM introduces a pioneering algorithm for effectively blending heterogeneous microstructure interfaces. Initially, an interpolation algorithm is… More >

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