Numerical Simulation of Unconfined Compression Tests of Sandstone Using the Discrete Element Method in LS-DYNA

This study presents a numerical simulation of unconfined compression tests (UCTs) on sandstone, utilizing the Discrete Element Method (DEM) in LS-DYNA. The primary objective of this research was to find an optimal mesh configuration to imitate the laboratory testing process by numerical modeling to enhance the reliability of data and reduce the time and cost required for complex experiments. Laboratory-derived rock properties were integrated into the DEM simulation as input parameters. Five numerical models were simulated with varying mesh densities to optimize mesh size. The results were validated by comparing failure mode, stress-strain curves, and uniaxial compressive strength (UCS) with experimental data. A model with a mesh size of 40/30 elements illustrated the closest correlation to the laboratory test, exhibiting a similar stress-strain curve pattern and a minimal UCS difference of 2.62%. Additionally, the failure modes observed in both simulations aligned closely. This similarity between the results of the laboratory experiment and the numerical model proves the efficiency of the numerical model in simulated laboratory tests and offers an opportunity to calibrate the micro-parameters of other constitutive models which can save both the time and money required to determine complex parameters, especially avoiding the risk of critical laboratory experiments.

Authors

Publication Details

Journal
Civil And Environmental Engineering Reports
Published
2025-04-18
DOI
https://doi.org/10.59440/ceer/202032
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Simulation of Unconfined Compression Tests of Sandstone Using the Discrete Element Method in LS-DYNA

Muhammad Irfan Shahrin, Nurul Syakeera Nordin, Nor Zurairahetty Mohd Yunus, Md. Ayubur Rahman et al.
Civil And Environmental Engineering Reports
Rock Mechanics and Modeling
article

Numerical Simulation of Unconfined Compression Tests of Sandstone Using the Discrete Element Method in LS-DYNA

Muhammad Irfan Shahrin, Nurul Syakeera Nordin, Nor Zurairahetty Mohd Yunus, Md. Ayubur Rahman, Rini Asnida Abdullah
article en

Abstract

This study presents a numerical simulation of unconfined compression tests (UCTs) on sandstone, utilizing the Discrete Element Method (DEM) in LS-DYNA. The primary objective of this research was to find an optimal mesh configuration to imitate the laboratory testing process by numerical modeling to enhance the reliability of data and reduce the time and cost required for complex experiments. Laboratory-derived rock properties were integrated into the DEM simulation as input parameters. Five numerical models were simulated with varying mesh densities to optimize mesh size. The results were validated by comparing failure mode, stress-strain curves, and uniaxial compressive strength (UCS) with experimental data. A model with a mesh size of 40/30 elements illustrated the closest correlation to the laboratory test, exhibiting a similar stress-strain curve pattern and a minimal UCS difference of 2.62%. Additionally, the failure modes observed in both simulations aligned closely. This similarity between the results of the laboratory experiment and the numerical model proves the efficiency of the numerical model in simulated laboratory tests and offers an opportunity to calibrate the micro-parameters of other constitutive models which can save both the time and money required to determine complex parameters, especially avoiding the risk of critical laboratory experiments.

Civil And Environmental Engineering ReportsVol. 35(2)
Openalex Percentile: Top 91%
Rock Mechanics and Modeling
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.