Guest Editor(s)
Prof. Dr. Yun-Fei Fu
Email: yunfei.fu@sdust.edu.cn
Affiliation: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
Qingdao Key Laboratory of Lightweight Design and Additive Manufacturing for Aerospace Propulsion, Qingdao, 266590, China
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Research Interests: lightweight design; structural optimization; topology optimization; composite materials
Summary
1) Introduction
The development of lightweight and high-performance structures is becoming increasingly vital as modern industries pursue higher efficiency, reduced material consumption, and improved structural reliability. Advancements in computational science now play a key role in enabling accurate material modeling, optimized structural design, and predictive assessment of damage and durability in complex engineering applications.
2) The aim and scope of the Special Issue
This Special Issue aims to present recent advances in computational methods that enable lightweight, high-performance structural design. Topics include computational design and optimization, multiscale and multiphysics modeling, topology optimization, data-driven techniques for material property prediction, as well as the simulation of fiber-reinforced composites, hybrid structures, and material damage evolution. The goal is to advance predictive computational frameworks that support efficient, reliable, and application-oriented lightweight structural engineering across diverse industrial sectors.
3) Suggested themes
1. Computational design and optimization methods for lightweight structures
2. Multiscale and multiphysics modeling of lightweight designs
3. Topology optimization for material-efficient structures
4. Data-driven approaches for material property prediction
5. Simulation of fiber-reinforced composites and hybrid structures
6. Material damage modeling, failure prediction, and durability simulation
Keywords
lightweight engineering; computational materials science; multiscale and multiphysics modeling; topology optimization; data-driven material prediction; fiber-reinforced composites; hybrid structures; material damage and durability modeling
Published Papers
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