Antonello Troncone, Luigi Pugliese, Andrea Parise, Pietro Mazzuca, Enrico Conte
{"title":"Post-failure stage analysis of flow-type landslides using different numerical techniques","authors":"Antonello Troncone, Luigi Pugliese, Andrea Parise, Pietro Mazzuca, Enrico Conte","doi":"10.1016/j.compgeo.2025.107152","DOIUrl":null,"url":null,"abstract":"<div><div>The analysis of the post-failure stage of landslides is of great interest for the geotechnical community (researchers and practitioners), especially for the case of flow-type landslides that are generally characterized by very high velocity and very long distance of run-out. This interest has increased in recent years thanks to the development of numerical methods able to solve successfully problems involving large deformations. Although such methods were employed in several studies for the analysis of the post-failure stage of landslides, only few of them have compared the numerical performance of the available techniques in dealing with real case studies. In the present study, three methods recognised as very effective numerical techniques for solving large deformation problems are considered: the Coupled Eulerian-Lagrangian (CEL) method, the Material Point Method (MPM) and the Smoothed Particle Hydrodynamics (SPH) method. These methods are used herein to simulate the post-failure stage of some well-documented landslides that evolved in a flow after failure. The predictive capacity of the considered methods and the associated computational costs are discussed with a view to their use for practical purposes.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"182 ","pages":"Article 107152"},"PeriodicalIF":5.3000,"publicationDate":"2025-02-20","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/S0266352X25001016","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The analysis of the post-failure stage of landslides is of great interest for the geotechnical community (researchers and practitioners), especially for the case of flow-type landslides that are generally characterized by very high velocity and very long distance of run-out. This interest has increased in recent years thanks to the development of numerical methods able to solve successfully problems involving large deformations. Although such methods were employed in several studies for the analysis of the post-failure stage of landslides, only few of them have compared the numerical performance of the available techniques in dealing with real case studies. In the present study, three methods recognised as very effective numerical techniques for solving large deformation problems are considered: the Coupled Eulerian-Lagrangian (CEL) method, the Material Point Method (MPM) and the Smoothed Particle Hydrodynamics (SPH) method. These methods are used herein to simulate the post-failure stage of some well-documented landslides that evolved in a flow after failure. The predictive capacity of the considered methods and the associated computational costs are discussed with a view to their use for practical purposes.
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.