Fan Chen , Junfeng Sun , Chaoyue Yang , Hao Xiong , Thirapong Pipatpongsa , Mohammad Hossein Khosravi , Kun Fang
{"title":"Excavation-induced open-pit slope failures behaviors from microscopic insights using DEM analysis","authors":"Fan Chen , Junfeng Sun , Chaoyue Yang , Hao Xiong , Thirapong Pipatpongsa , Mohammad Hossein Khosravi , Kun Fang","doi":"10.1016/j.compgeo.2026.107959","DOIUrl":null,"url":null,"abstract":"<div><div>Excavation-induced slope failures present critical challenges in open-pit mining engineering yielding various failure morphologies, yet the underlying the mechanisms remain insufficiently understood. This work attempts to investigate slope arching failures induced by progressive excavation by employing a multi-scale approach integrating Discrete Element Method simulations and analytical solutions. The combined findings reveal a dominant role of initial material packing density in governing slope failure morphology: densely-packed slopes develop well-defined stress arching with localized deformation and delayed collapse, whereas relatively-loose slopes exhibit early, global failure with minimal stress reorientation. Furthermore, the microscopic density-dependent stress redistribution and rotation of principal stress trajectories have been quantitatively evaluated in both physical model tests and numerical models. In addition, a novel classification criterion based on incremental displacement ratios is proposed for distinguishing different failure phases, offering a more reliable indicator of failure onset compared to traditional accumulated displacement metrics. The findings provide micro-mechanical insights and interpretation into macroscale slope behavior, thus enhance the current understanding of realistic failures in excavation-affected open-pit slopes.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"193 ","pages":"Article 107959"},"PeriodicalIF":6.2000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X26000650","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Excavation-induced slope failures present critical challenges in open-pit mining engineering yielding various failure morphologies, yet the underlying the mechanisms remain insufficiently understood. This work attempts to investigate slope arching failures induced by progressive excavation by employing a multi-scale approach integrating Discrete Element Method simulations and analytical solutions. The combined findings reveal a dominant role of initial material packing density in governing slope failure morphology: densely-packed slopes develop well-defined stress arching with localized deformation and delayed collapse, whereas relatively-loose slopes exhibit early, global failure with minimal stress reorientation. Furthermore, the microscopic density-dependent stress redistribution and rotation of principal stress trajectories have been quantitatively evaluated in both physical model tests and numerical models. In addition, a novel classification criterion based on incremental displacement ratios is proposed for distinguishing different failure phases, offering a more reliable indicator of failure onset compared to traditional accumulated displacement metrics. The findings provide micro-mechanical insights and interpretation into macroscale slope behavior, thus enhance the current understanding of realistic failures in excavation-affected open-pit slopes.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.