Basal effect in mono- and bi-disperse chute flows

Lu Jing, Fiona C. Y. Kwok, Andy Y. F. Leung, Yuri D. Sobral

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The basal condition for granular chute flows is assumed rough and non-slip in experimental and numerical studies. In mono-disperse flows, a rough base is usually constructed by gluing/fixing a layer of particles that is similar or identical to the flowing particles. However, the base condition is not so clear in bi-disperse flows, where size segregation changes the relative basal roughness. In this paper, basal effect is studied in both mono- and bi-disperse chute flows. Different size ratios are adopted to understand how size segregation affects the basal condition and velocity profile in the steady, fully developed state. It is found that considerable sliding may arise as large particles stay in contact with the base, and it may affect the development of segregation. The velocity profile at the steady state is different due to the occurrence of segregation. In addition, sensitivity analyses show that the basal effect is independent of the sample size and contact parameters. © Springer Science+Business Media Singapore 2017.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Discrete Element Methods
PublisherSpringer Science and Business Media, LLC
Pages671-678
Volume188
ISBN (Print)9789811019258
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event7th International Conference on Discrete Element Methods, DEM7 2016 - Dalian, China
Duration: 1 Aug 20164 Aug 2016

Publication series

NameSpringer Proceedings in Physics
Volume188
ISSN (Print)0930-8989
ISSN (Electronic)1867-4941

Conference

Conference7th International Conference on Discrete Element Methods, DEM7 2016
PlaceChina
CityDalian
Period1/08/164/08/16

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The work was supported by Research Grants Council of Hong Kong (under RGC/GRF 17203614), the Research Institute for Sustainable Urban Development at The Hong Kong Polytechnic University, and the grant FAP-DF, Brazil. The computation was performed using the HKU Information Technology Services research computing facilities that are supported in part by the Hong Kong UGC Special Equipment Grant (SEG HKU09).

RGC Funding Information

  • RGC-funded

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