Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction

Rockfill materials, conducted by impermeable stone, are frequently used in subgrade construction projects. The irregularity and variability of particle shape are demonstrated to affect the mechanical properties of rockfill subgrade, such as void ratio and coordination number. This study first identi...

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Main Authors: Hao Bai, Xiangyu Hu, Ruidong Li, Fei Chen, Zhiyong Liao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/5043729
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author Hao Bai
Xiangyu Hu
Ruidong Li
Fei Chen
Zhiyong Liao
author_facet Hao Bai
Xiangyu Hu
Ruidong Li
Fei Chen
Zhiyong Liao
author_sort Hao Bai
collection DOAJ
description Rockfill materials, conducted by impermeable stone, are frequently used in subgrade construction projects. The irregularity and variability of particle shape are demonstrated to affect the mechanical properties of rockfill subgrade, such as void ratio and coordination number. This study first identifies the subgrade rockfill particle contour by machine learning algorithms, including AdaBoost, Cascade, and sliding windows. Then, the shape evaluation indexes of length flatness, edge angle, and roughness are quantified, and the statistical analysis of each index is presented. In addition, the discrete element method (DEM) simulation is implemented on the compaction of rockfill subgrade to explore the impact of roundness on characteristics of particles. Finally, the macroanalysis on the void ratio and cumulative settlement and the microanalysis on particle coordination number, rotation momentum, and displacement are studied. The results illustrate that roundness has a significant effect on the mechanical characteristics of subgrade rockfill materials. With the increase of rolling passes, the porosity of packing decreases, whereas the settlement increases gradually. The change rate starts fast and ends slowly.
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institution Kabale University
issn 1687-8442
language English
publishDate 2022-01-01
publisher Wiley
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series Advances in Materials Science and Engineering
spelling doaj-art-8f1284babf744663a4ea9baf70b281d32025-02-03T01:32:37ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/5043729Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade ConstructionHao Bai0Xiangyu Hu1Ruidong Li2Fei Chen3Zhiyong Liao4Sichuan Expressway Construction & Development Group Co.,LTD.Department of Civil and Environmental EngineeringDepartment of Civil and Environmental EngineeringShudao Investment Group Co.,Ltd.Sichuan Expressway Construction & Development Group Co.,LTD.Rockfill materials, conducted by impermeable stone, are frequently used in subgrade construction projects. The irregularity and variability of particle shape are demonstrated to affect the mechanical properties of rockfill subgrade, such as void ratio and coordination number. This study first identifies the subgrade rockfill particle contour by machine learning algorithms, including AdaBoost, Cascade, and sliding windows. Then, the shape evaluation indexes of length flatness, edge angle, and roughness are quantified, and the statistical analysis of each index is presented. In addition, the discrete element method (DEM) simulation is implemented on the compaction of rockfill subgrade to explore the impact of roundness on characteristics of particles. Finally, the macroanalysis on the void ratio and cumulative settlement and the microanalysis on particle coordination number, rotation momentum, and displacement are studied. The results illustrate that roundness has a significant effect on the mechanical characteristics of subgrade rockfill materials. With the increase of rolling passes, the porosity of packing decreases, whereas the settlement increases gradually. The change rate starts fast and ends slowly.http://dx.doi.org/10.1155/2022/5043729
spellingShingle Hao Bai
Xiangyu Hu
Ruidong Li
Fei Chen
Zhiyong Liao
Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
Advances in Materials Science and Engineering
title Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
title_full Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
title_fullStr Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
title_full_unstemmed Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
title_short Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction
title_sort automated particle shape identification and quantification for dem simulation of rockfill materials in subgrade construction
url http://dx.doi.org/10.1155/2022/5043729
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AT feichen automatedparticleshapeidentificationandquantificationfordemsimulationofrockfillmaterialsinsubgradeconstruction
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