Thanh‐Trung Vo, Nhu H. T. Nguyen, Trung‐Kien Nguyen, Thanh‐Hai Nguyen
{"title":"双尺寸混合物的颗粒柱在水平面上坍塌","authors":"Thanh‐Trung Vo, Nhu H. T. Nguyen, Trung‐Kien Nguyen, Thanh‐Hai Nguyen","doi":"10.1002/nag.3948","DOIUrl":null,"url":null,"abstract":"The granular column collapse is a simple model to study natural disasters such as landslides, rock avalanches, and debris flows because of its potential to provide solid links of physical and mechanical properties to these catastrophic flows. Such flows are commonly composed of different grain‐size distributions, namely, polydispersity. Owing to the complexity of different particle‐size phases, explanations of the collapse dynamics, run out distance, and size‐segregation behavior of granular flows remain elusive. A binary‐size mixture of granular materials is well‐known as a simplified version of particle‐size distribution. This paper explores the effects of the large‐particle content on the collapse mobility, deposition morphology, and size segregation of binary‐size mixtures composed in each column geometry. Although the kinetic energy and deposition morphology are nearly insensitive to the content of large particles for each column geometry, the large and small particle‐size phases govern differently on total kinetic energy. Remarkably, the contribution of these two particle phases to the kinetic energy is similar when the large‐particle content reaches around 10% for all column geometries. By quantifying the difference of the apparent friction coefficient of small and large particle phases, the size‐segregation degree of binary‐size mixtures is evaluated. The results noted that the segregation degree increases exponentially with increasing the large‐particle content, but it is nearly independent of the column geometry. These findings complement insights into the flow properties of geological hazards, leading to offering valuable evidence for the management of natural disasters such as landslides and debris flows.","PeriodicalId":13786,"journal":{"name":"International Journal for Numerical and Analytical Methods in Geomechanics","volume":"50 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Granular Columns of Binary‐Size Mixtures Collapse on a Horizontal Plane\",\"authors\":\"Thanh‐Trung Vo, Nhu H. T. Nguyen, Trung‐Kien Nguyen, Thanh‐Hai Nguyen\",\"doi\":\"10.1002/nag.3948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The granular column collapse is a simple model to study natural disasters such as landslides, rock avalanches, and debris flows because of its potential to provide solid links of physical and mechanical properties to these catastrophic flows. Such flows are commonly composed of different grain‐size distributions, namely, polydispersity. Owing to the complexity of different particle‐size phases, explanations of the collapse dynamics, run out distance, and size‐segregation behavior of granular flows remain elusive. A binary‐size mixture of granular materials is well‐known as a simplified version of particle‐size distribution. This paper explores the effects of the large‐particle content on the collapse mobility, deposition morphology, and size segregation of binary‐size mixtures composed in each column geometry. Although the kinetic energy and deposition morphology are nearly insensitive to the content of large particles for each column geometry, the large and small particle‐size phases govern differently on total kinetic energy. Remarkably, the contribution of these two particle phases to the kinetic energy is similar when the large‐particle content reaches around 10% for all column geometries. By quantifying the difference of the apparent friction coefficient of small and large particle phases, the size‐segregation degree of binary‐size mixtures is evaluated. The results noted that the segregation degree increases exponentially with increasing the large‐particle content, but it is nearly independent of the column geometry. These findings complement insights into the flow properties of geological hazards, leading to offering valuable evidence for the management of natural disasters such as landslides and debris flows.\",\"PeriodicalId\":13786,\"journal\":{\"name\":\"International Journal for Numerical and Analytical Methods in Geomechanics\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Numerical and Analytical Methods in Geomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/nag.3948\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical and Analytical Methods in Geomechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/nag.3948","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Granular Columns of Binary‐Size Mixtures Collapse on a Horizontal Plane
The granular column collapse is a simple model to study natural disasters such as landslides, rock avalanches, and debris flows because of its potential to provide solid links of physical and mechanical properties to these catastrophic flows. Such flows are commonly composed of different grain‐size distributions, namely, polydispersity. Owing to the complexity of different particle‐size phases, explanations of the collapse dynamics, run out distance, and size‐segregation behavior of granular flows remain elusive. A binary‐size mixture of granular materials is well‐known as a simplified version of particle‐size distribution. This paper explores the effects of the large‐particle content on the collapse mobility, deposition morphology, and size segregation of binary‐size mixtures composed in each column geometry. Although the kinetic energy and deposition morphology are nearly insensitive to the content of large particles for each column geometry, the large and small particle‐size phases govern differently on total kinetic energy. Remarkably, the contribution of these two particle phases to the kinetic energy is similar when the large‐particle content reaches around 10% for all column geometries. By quantifying the difference of the apparent friction coefficient of small and large particle phases, the size‐segregation degree of binary‐size mixtures is evaluated. The results noted that the segregation degree increases exponentially with increasing the large‐particle content, but it is nearly independent of the column geometry. These findings complement insights into the flow properties of geological hazards, leading to offering valuable evidence for the management of natural disasters such as landslides and debris flows.
期刊介绍:
The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.