Structural Design and Performance Optimization of High-Performance Composites

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 346

Special Issue Editor


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Guest Editor
School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Interests: theoretically modeling and simulation of thermal management systems of spacecrafts; synthesis and military application of thermal protection materials; inverse reconstruction of radiation properties for thermal protection materials; multidisciplinary analysis and optimization of aircraft thermo-structural systems; damage analysis and design of composite key components for space application

Special Issue Information

Dear Colleagues,

High-performance composite materials are extensively employed in typical demonstrative engineering fields, such as astronautics, aerospace, military equipment, and nuclear reaction industries. Here, optimizing material performance, integrating multi-functionality, and improving efficiency of structural materials are key driving forces for the development of innovative high-performance composite materials. Furthermore, the development of advanced structural design and performance optimization theories and methods represent crucial areas for furthering the progress of materials science in high-tech fields. Emerging technologies in material design and performance optimization, such as artificial intelligence and machine learning, are essential for developing ideal material and structural systems to fulfill stringent requirements for applications in extreme multi-physical environmental conditions, ensuring safety, and extending the lifespan of various equipment components. This Special Issue, Structural Design and Performance Optimization of High-Performance Composites, will address current challenges, novel advances, and groundbreaking insights related to microstructure design methods and property optimization technologies. It will focus on a range of relevant technologies, including multidisciplinary optimization, multiscale architectural modeling and design, reliability-based design, microstructure shape and topology optimization, material parameter and property identification, inverse design, uncertainty optimization, machine learning, artificial intelligence, and Bayesian optimization. Furthermore, the scope of this Special Issue will feature an array of innovative materials and structures, lightweight high-performance structural materials, lightweight efficient thermal protection materials, thermal management materials, new multifunctional composite materials, extreme temperature-resistant functional materials, nanocomposites, intelligent composites, metamaterials, 3D-printed materials, and 4D-printed materials. Submissions including, but not limited to, the abovementioned material systems and optimization technologies are welcome; submissions on other topics related to structure design and optimization are also encouraged for this Special Issue. We look forward to your contributions.

Dr. Shuyuan Zhao
Guest Editor

Manuscript Submission Information

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Keywords

  • novel materials design
  • multidisciplinary optimization
  • multiscale architectural modeling and design
  • microstructure shape and topology optimization
  • material parameter and property identification
  • machine learning

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Published Papers (1 paper)

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Research

13 pages, 3341 KiB  
Article
Design and Experimentation of Variable-Density Damping Materials Based on Topology Optimization
by Xiangkun Zeng, Biaojie Han, Ziheng Kuang, Han Ding, Kaixin Wang, Canyi Du, Wei Wu, Hongluo Li and Jiangang Wang
Processes 2025, 13(7), 2276; https://doi.org/10.3390/pr13072276 - 17 Jul 2025
Viewed by 205
Abstract
In engineering structures, damping materials are an effective way to improve vibration characteristics, but they can significantly increase the weight and cost of the structure. In this study, based on the variable density topology optimization algorithm, combined with finite element simulation and experimental [...] Read more.
In engineering structures, damping materials are an effective way to improve vibration characteristics, but they can significantly increase the weight and cost of the structure. In this study, based on the variable density topology optimization algorithm, combined with finite element simulation and experimental validation, the vibration damping performance of a composite structure with steel plate and damping material is optimized. With the objective of minimizing the resonance response and the constraint of damping material volume, the material distribution of the damping layer is optimized, and the amount of damping material used is successfully reduced by 31.2%. By building a test rig and comparing the vibration responses under the three working conditions of no damping, full damping coverage, and optimized damping, the effectiveness of the optimization strategy is verified, and a significant reduction in vibration response is achieved. This study provides an innovative solution for lightweight design and cost control in engineering. Full article
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