An Efficient Discrete Element Method-Enhanced Mesoscale Modeling Method for Multi-Phase Concrete-like Composites with High Volume Fraction

Concrete-like composites are widely used in the building of civil engineering applications such as houses, dams, and roads. Mesoscale modeling is a powerful tool for the physical and mechanical analysis of concrete-like composites. A novel discrete element method (DEM)-enhanced external force-free method for multi-phase concrete-like composite modeling with an interface transition zone (ITZ) is presented in this paper. Firstly, randomly distributed particles with arbitrary shapes are generated based on a grading curve. Then, a Minkowski sum operation for particles is implemented to control the minimum gap between adjacent particles. Secondly, a transition from particles to clumps is realized using the overlapping discrete element cluster (ODEC) method and is randomly placed into a specific space. Thirdly, the DEM simulation with a simple linear contact model is employed to separate the overlapped clumps. Meanwhile, the initial position, displacement, and rotation of clumps are recorded. Finally, the mesoscale model is reconstructed based on the displacement and rotation information. The results show that this method can efficiently generate multi-phase composites with arbitrary particle shapes, high volume fractions, an overlapped ITZ, and a periodic structure. This study proposes a novel, efficient tool for analyzing and designing composite materials in resilient civil infrastructure.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-05-19
DOI
https://doi.org/10.3390/buildings15101716
Citations
2
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
2.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient Discrete Element Method-Enhanced Mesoscale Modeling Method for Multi-Phase Concrete-like Composites with High Volume Fraction

Pengfei Qiu, Jinzhu Hu, Qingxiang Meng, Lei Yang et al.
2 citations
Buildings
Innovations in Concrete and Construction Materials
2.01
article

An Efficient Discrete Element Method-Enhanced Mesoscale Modeling Method for Multi-Phase Concrete-like Composites with High Volume Fraction

Pengfei Qiu, Jinzhu Hu, Qingxiang Meng, Lei Yang, Chengjia Huang
article en
2 citations

Abstract

Concrete-like composites are widely used in the building of civil engineering applications such as houses, dams, and roads. Mesoscale modeling is a powerful tool for the physical and mechanical analysis of concrete-like composites. A novel discrete element method (DEM)-enhanced external force-free method for multi-phase concrete-like composite modeling with an interface transition zone (ITZ) is presented in this paper. Firstly, randomly distributed particles with arbitrary shapes are generated based on a grading curve. Then, a Minkowski sum operation for particles is implemented to control the minimum gap between adjacent particles. Secondly, a transition from particles to clumps is realized using the overlapping discrete element cluster (ODEC) method and is randomly placed into a specific space. Thirdly, the DEM simulation with a simple linear contact model is employed to separate the overlapped clumps. Meanwhile, the initial position, displacement, and rotation of clumps are recorded. Finally, the mesoscale model is reconstructed based on the displacement and rotation information. The results show that this method can efficiently generate multi-phase composites with arbitrary particle shapes, high volume fractions, an overlapped ITZ, and a periodic structure. This study proposes a novel, efficient tool for analyzing and designing composite materials in resilient civil infrastructure.

BuildingsVol. 15(10)
Tongji University (CN), Hohai University (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN), Huaiyin Institute of Technology (CN)
Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province
Openalex Percentile: Top 15%
Innovations in Concrete and Construction Materials
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.