Simulation of the Mesoscale Cracking Processes in Concrete Under Tensile Stress by Discrete Element Method

Material scientists face a critical challenge in characterizing the mesoscopic damage evolution of concrete under tensile loading, as traditional experimental and theoretical approaches struggle to resolve the complexities of its multiphase heterogeneous structure. This study addresses this gap by employing the Discrete Element Method (DEM) with PFC2D to model concrete's mesoscopic cracking, integrating aggregates, mortar, interfacial transition zones (ITZ), and pores. Through parameter calibration against experimental data, uniaxial tensile simulations reveal how aggregate percentages (30-45%) and pore percentages (1-6%) influence crack propagation and tensile strength. Specifically, when the aggregate percentage increased from 30% to 40%, the peak tensile strength decreased by 26%, while increasing from 40% to 45% led to a recovery in strength. With porosity increasing from 2% to 4%, the peak strength dropped by approximately 3%, and further to 6% caused a 14% reduction, demonstrating the quantitative impact of microstructural parameters on concrete performance. Simulation results align closely with experimental data, validating DEM's efficacy in modeling mesoscopic cracking. This work provides a mesoscopic theoretical foundation for optimizing concrete's tensile properties and underscores the need to incorporate realistic mesoscopic features in future simulations.

Authors

Institutions

Publication Details

Journal
Materials
Published
2025-06-24
DOI
https://doi.org/10.3390/ma18132981
Citations
7
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
6.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation of the Mesoscale Cracking Processes in Concrete Under Tensile Stress by Discrete Element Method

Shuyang Yu, Jian Xu, Zhenyu Zhu, Pingping Gu et al.
7 citations
Materials
Rock Mechanics and Modeling
6.05
article

Simulation of the Mesoscale Cracking Processes in Concrete Under Tensile Stress by Discrete Element Method

Shuyang Yu, Jian Xu, Zhenyu Zhu, Pingping Gu, Bintang Mas Mediamartha
article en
7 citations

Abstract

Material scientists face a critical challenge in characterizing the mesoscopic damage evolution of concrete under tensile loading, as traditional experimental and theoretical approaches struggle to resolve the complexities of its multiphase heterogeneous structure. This study addresses this gap by employing the Discrete Element Method (DEM) with PFC2D to model concrete's mesoscopic cracking, integrating aggregates, mortar, interfacial transition zones (ITZ), and pores. Through parameter calibration against experimental data, uniaxial tensile simulations reveal how aggregate percentages (30-45%) and pore percentages (1-6%) influence crack propagation and tensile strength. Specifically, when the aggregate percentage increased from 30% to 40%, the peak tensile strength decreased by 26%, while increasing from 40% to 45% led to a recovery in strength. With porosity increasing from 2% to 4%, the peak strength dropped by approximately 3%, and further to 6% caused a 14% reduction, demonstrating the quantitative impact of microstructural parameters on concrete performance. Simulation results align closely with experimental data, validating DEM's efficacy in modeling mesoscopic cracking. This work provides a mesoscopic theoretical foundation for optimizing concrete's tensile properties and underscores the need to incorporate realistic mesoscopic features in future simulations.

MaterialsVol. 18(13)
Nantong University (CN), Huzhou Normal University (CN), PowerChina (China) (CN)
Sustainable cities and communities
Openalex Percentile: Top 3%
Rock Mechanics and Modeling
6.05
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.