{"title":"浸没颗粒崩塌的动力学与流态:分形粒度分布的作用","authors":"Hu Tang, Yisong Wu, Dengming Wang","doi":"10.1016/j.compgeo.2025.107392","DOIUrl":null,"url":null,"abstract":"<div><div>Gravity-driven immersed granular flows are prevalent in both natural processes and industrial applications, exhibiting a significant sensitivity to particle size distribution of the constituent materials. This study employs a coupled computational fluid dynamics-discrete element method (CFD-DEM) approach to systematically investigate the collapse of polydisperse granular columns with fractal particle size distribution (FPSD) in fluids of varying viscosities. By maintaining a consistent initial volume fraction across different polydisperse systems, the findings indicate that the influence of FPSD on flow mobility is not primarily driven by changes in local pore pressure evolution but is instead governed by modifications in the particle–fluid interactions. An analysis of the relationship between the drag force at the flow front and spreading velocity reveals that the motion of flow front can serve as a reliable predictor for predicting its flow mobility, particularly in low-viscosity cases. Furthermore, two modified dimensionless parameters, incorporating an equivalent particle size, are introduced to reconstruct the flow regime diagram, which clarifies the role of FPSD under different fluid conditions. Finally, a theoretical model is developed to describe the motion of flow front during immersed polydisperse granular collapses. This model successfully predicts the correlation between normalized runout distance and fractal dimension of polydisperse particles, while also accounting for the effects of the initial column aspect ratio and particle density. These findings provide valuable insights into flow mobility of immersed polydisperse granular materials in more complex scenarios.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"186 ","pages":"Article 107392"},"PeriodicalIF":6.2000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamics and flow regime of immersed granular collapse: role of fractal particle size distribution\",\"authors\":\"Hu Tang, Yisong Wu, Dengming Wang\",\"doi\":\"10.1016/j.compgeo.2025.107392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Gravity-driven immersed granular flows are prevalent in both natural processes and industrial applications, exhibiting a significant sensitivity to particle size distribution of the constituent materials. This study employs a coupled computational fluid dynamics-discrete element method (CFD-DEM) approach to systematically investigate the collapse of polydisperse granular columns with fractal particle size distribution (FPSD) in fluids of varying viscosities. By maintaining a consistent initial volume fraction across different polydisperse systems, the findings indicate that the influence of FPSD on flow mobility is not primarily driven by changes in local pore pressure evolution but is instead governed by modifications in the particle–fluid interactions. An analysis of the relationship between the drag force at the flow front and spreading velocity reveals that the motion of flow front can serve as a reliable predictor for predicting its flow mobility, particularly in low-viscosity cases. Furthermore, two modified dimensionless parameters, incorporating an equivalent particle size, are introduced to reconstruct the flow regime diagram, which clarifies the role of FPSD under different fluid conditions. Finally, a theoretical model is developed to describe the motion of flow front during immersed polydisperse granular collapses. This model successfully predicts the correlation between normalized runout distance and fractal dimension of polydisperse particles, while also accounting for the effects of the initial column aspect ratio and particle density. These findings provide valuable insights into flow mobility of immersed polydisperse granular materials in more complex scenarios.</div></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":\"186 \",\"pages\":\"Article 107392\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-06-06\",\"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/S0266352X25003416\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X25003416","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}
Dynamics and flow regime of immersed granular collapse: role of fractal particle size distribution
Gravity-driven immersed granular flows are prevalent in both natural processes and industrial applications, exhibiting a significant sensitivity to particle size distribution of the constituent materials. This study employs a coupled computational fluid dynamics-discrete element method (CFD-DEM) approach to systematically investigate the collapse of polydisperse granular columns with fractal particle size distribution (FPSD) in fluids of varying viscosities. By maintaining a consistent initial volume fraction across different polydisperse systems, the findings indicate that the influence of FPSD on flow mobility is not primarily driven by changes in local pore pressure evolution but is instead governed by modifications in the particle–fluid interactions. An analysis of the relationship between the drag force at the flow front and spreading velocity reveals that the motion of flow front can serve as a reliable predictor for predicting its flow mobility, particularly in low-viscosity cases. Furthermore, two modified dimensionless parameters, incorporating an equivalent particle size, are introduced to reconstruct the flow regime diagram, which clarifies the role of FPSD under different fluid conditions. Finally, a theoretical model is developed to describe the motion of flow front during immersed polydisperse granular collapses. This model successfully predicts the correlation between normalized runout distance and fractal dimension of polydisperse particles, while also accounting for the effects of the initial column aspect ratio and particle density. These findings provide valuable insights into flow mobility of immersed polydisperse granular materials in more complex scenarios.
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.