祝贺郭富强的论文《A spherical harmonic-random field coupled method for efficient reconstruction of CT-image based 3D aggregates with controllable multiscale morphology》被期刊CMAME接收！

A spherical harmonic-random field coupled method for efficient reconstruction of CT-image based 3D aggregates with controllable multiscale morphology

Fu-qiang Guo, Hui Zhang, Zhen-jun Yang^*, Yu-jie Huang^*, Philip J. Withers 

Abstract：Particle morphology has an important influence on the macro/microscopic properties of particle-reinforced composites such as concrete. Accurate simulation of the microstructure of the material is essential for its optimal design. This study develops a computational method for highly efficient generation of realistic 3D aggregates by coupling the theory of spherical harmonic function and random fields to effectively capture and reconstruct the multiscale morphological features of aggregates. A dynamic physics engine-based discrete element modelling (DEM) is used to generate“virtual” concrete specimens with controllable morphology and size distribution. The proposed method offers new ideas for the optimal design of particle-reinforced materials.

摘要：颗粒形态对混凝土等颗粒增强复合材料的宏观/微观性能有重要影响。材料内部微观结构的精确模拟对其优化设计至关重要。本研究开发了一种球谐函数和随机场理论相耦合的计算方法，用于捕捉和重建三维骨料的多尺度形态特征，高效地生成真实的三维骨料形态。利用上述方法，基于dynamic physics engine-based DEM生成具有可控骨料形态和尺寸分布的混凝土试样。所提出的方法为混凝土等颗粒增强材料的优化设计提供了新的思路。

图1. 多尺度重构方法示意图

图2. 不同尺度骨料形态重构对比

该项研究工作得到了国家自然科学基金（51974202 ，52173300）、中央高校基础研究经费（2042021kf0055）、中国博士后科学基金（2020M672414，2021M692481）和武汉大学国际合作研究平台关键种子基金（WHUZZJJ202208）资助。

This study is funded by National Natural Science Foundation of China (51974202, 52173300), Fundamental Research Funds for the Central Universities (2042021kf0055), Postdoctoral Science Foundation of China (2020M672414, 2021M692481) and Key Seed Grant for International Collaborative Research Platform of Wuhan University (WHUZZJJ202208).