Macro‐Meso Characteristics and Evolution Mechanism of Strain Localization Behavior in Soil Based on the Finite and Discrete Element Methods

ABSTRACT The macro‐ and meso‐mechanical behaviors associated with strain localization in soils were thoroughly investigated using the finite element method (FEM) and the discrete element method (DEM), respectively. First, an elasto‐plastic constitutive model based on micropolar theory was developed, highlighting the influence of internal length parameters on the width of the shear band. Additionally, an algorithm was proposed for identifying and calculating the orientation and width of the shear band using the DEM. On this basis, the linear parallel bond model in the PFC (Particle Flow Code) software was used to analyze the effect of particle diameter on the shear bands. The research summarized the potential relationships among particle diameter, internal length scale, element size, and shear band width. It also addressed how the aspect ratio (height‐to‐width ratio) and boundary conditions of the specimen in the biaxial compression test impact the formation of shear bands. Findings indicated that the shear band width ranged from 6 to 15 times the particle diameter or internal length scale, and that the element size should not exceed five times the internal length scale to ensure mesh‐independent results. Different boundary conditions were shown to result in varying shear band modes, including single inclined types, “X” types, or diffuse types. Furthermore, a calibration framework for the meso‐parameters was established and validated, providing a crucial link between macro‐ and meso‐material models.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical and Analytical Methods in Geomechanics
Published
2025-12-08
DOI
https://doi.org/10.1002/nag.70198
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Macro‐Meso Characteristics and Evolution Mechanism of Strain Localization Behavior in Soil Based on the Finite and Discrete Element Methods

Qinghe Niu, Xinlong Zhang, Jingbin Zheng, Wei Yuan et al.
International Journal for Numerical and Analytical Methods in Geomechanics
Geotechnical Engineering and Soil Mechanics
article

Macro‐Meso Characteristics and Evolution Mechanism of Strain Localization Behavior in Soil Based on the Finite and Discrete Element Methods

Qinghe Niu, Xinlong Zhang, Jingbin Zheng, Wei Yuan, Wei Wang, Ziqi Gao, Jiangfang Chang
article en

Abstract

ABSTRACT The macro‐ and meso‐mechanical behaviors associated with strain localization in soils were thoroughly investigated using the finite element method (FEM) and the discrete element method (DEM), respectively. First, an elasto‐plastic constitutive model based on micropolar theory was developed, highlighting the influence of internal length parameters on the width of the shear band. Additionally, an algorithm was proposed for identifying and calculating the orientation and width of the shear band using the DEM. On this basis, the linear parallel bond model in the PFC (Particle Flow Code) software was used to analyze the effect of particle diameter on the shear bands. The research summarized the potential relationships among particle diameter, internal length scale, element size, and shear band width. It also addressed how the aspect ratio (height‐to‐width ratio) and boundary conditions of the specimen in the biaxial compression test impact the formation of shear bands. Findings indicated that the shear band width ranged from 6 to 15 times the particle diameter or internal length scale, and that the element size should not exceed five times the internal length scale to ensure mesh‐independent results. Different boundary conditions were shown to result in varying shear band modes, including single inclined types, “X” types, or diffuse types. Furthermore, a calibration framework for the meso‐parameters was established and validated, providing a crucial link between macro‐ and meso‐material models.

International Journal for Numerical and Analytical Methods in GeomechanicsVol. 50(4)
Shijiazhuang Tiedao University (CN)
Openalex Percentile: Top 60%
Geotechnical Engineering and Soil Mechanics
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.