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Investigation on vibration induced segregation behaviour of crushed GMZ bentonite pellet mixtures.

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Title: Investigation on vibration induced segregation behaviour of crushed GMZ bentonite pellet mixtures.
Authors: Liu, Zhang-Rong1 (AUTHOR), Cui, Yu-Jun2,3 (AUTHOR), Ye, Wei-Min1,2 (AUTHOR) ye_tju@tongji.edu.cn, Zhang, Zhao1 (AUTHOR), Wang, Qiong1 (AUTHOR), Chen, Bao1,2 (AUTHOR)
Source: Construction & Building Materials. Apr2020, Vol. 241, pN.PAG-N.PAG. 1p.
Subjects: Construction materials, Radioactive wastes, Pelletizing, Radioactive substances, Investigations, Blasting, Particle size distribution
Abstract: • A weighted coefficient of variation was proposed for evaluating degree of segregation. • A particle characteristic index was defined to reflect effects of size ratio and distribution. • The WCV increases with the increase of PCI in a sigmoid trend. • The segregation on vibration was mainly governed by percolation and convection. • Segregation could be reduced by increasing particle size ratio or mass fraction ratio. Mixture of high-density bentonite pellets are considered as a potential buffer/backfill material for high-level radioactive wastes (HLW) repository. One of the outstanding problems of this material is the particle segregation induced by vibration during transportation and emplacement. In this work, the vibration-induced segregation behavior of crushed GMZ (Gaomiaozi) bentonite pellet mixtures with different size distributions was experimentally investigated using a cylindrical container under vertical vibrations. The degree of segregation was evaluated by a weighted coefficient of variation (WCV) reflecting the changes in particle size distribution before and after vibration. Results show that generally the WCV increases with decreases of particle size ratio, the mass fraction of the fine size class and the number of size classes of the mixture. The influences of particle size ratio and distribution were interpreted by two dominant mechanisms including percolation and convection, and could be incorporated into a particle characteristic index (PCI). Further analysis shows that the WCV monotonously increases with the increase of PCI and the relationship between them can be well described using a sigmoid function. Finally, based on the analyses of the experimental results, strategies for reducing segregation were proposed. [ABSTRACT FROM AUTHOR]
Copyright of Construction & Building Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
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Header DbId: egs
DbLabel: Engineering Source
An: 142409967
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Investigation on vibration induced segregation behaviour of crushed GMZ bentonite pellet mixtures.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhang-Rong%22">Liu, Zhang-Rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Yu-Jun%22">Cui, Yu-Jun</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Wei-Min%22">Ye, Wei-Min</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ye_tju@tongji.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhao%22">Zhang, Zhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiong%22">Wang, Qiong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Bao%22">Chen, Bao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Construction+%26+Building+Materials%22">Construction & Building Materials</searchLink>. Apr2020, Vol. 241, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Construction+materials%22">Construction materials</searchLink><br /><searchLink fieldCode="DE" term="%22Radioactive+wastes%22">Radioactive wastes</searchLink><br /><searchLink fieldCode="DE" term="%22Pelletizing%22">Pelletizing</searchLink><br /><searchLink fieldCode="DE" term="%22Radioactive+substances%22">Radioactive substances</searchLink><br /><searchLink fieldCode="DE" term="%22Investigations%22">Investigations</searchLink><br /><searchLink fieldCode="DE" term="%22Blasting%22">Blasting</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+size+distribution%22">Particle size distribution</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • A weighted coefficient of variation was proposed for evaluating degree of segregation. • A particle characteristic index was defined to reflect effects of size ratio and distribution. • The WCV increases with the increase of PCI in a sigmoid trend. • The segregation on vibration was mainly governed by percolation and convection. • Segregation could be reduced by increasing particle size ratio or mass fraction ratio. Mixture of high-density bentonite pellets are considered as a potential buffer/backfill material for high-level radioactive wastes (HLW) repository. One of the outstanding problems of this material is the particle segregation induced by vibration during transportation and emplacement. In this work, the vibration-induced segregation behavior of crushed GMZ (Gaomiaozi) bentonite pellet mixtures with different size distributions was experimentally investigated using a cylindrical container under vertical vibrations. The degree of segregation was evaluated by a weighted coefficient of variation (WCV) reflecting the changes in particle size distribution before and after vibration. Results show that generally the WCV increases with decreases of particle size ratio, the mass fraction of the fine size class and the number of size classes of the mixture. The influences of particle size ratio and distribution were interpreted by two dominant mechanisms including percolation and convection, and could be incorporated into a particle characteristic index (PCI). Further analysis shows that the WCV monotonously increases with the increase of PCI and the relationship between them can be well described using a sigmoid function. Finally, based on the analyses of the experimental results, strategies for reducing segregation were proposed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Construction & Building Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.conbuildmat.2019.117949
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – SubjectFull: Construction materials
        Type: general
      – SubjectFull: Radioactive wastes
        Type: general
      – SubjectFull: Pelletizing
        Type: general
      – SubjectFull: Radioactive substances
        Type: general
      – SubjectFull: Investigations
        Type: general
      – SubjectFull: Blasting
        Type: general
      – SubjectFull: Particle size distribution
        Type: general
    Titles:
      – TitleFull: Investigation on vibration induced segregation behaviour of crushed GMZ bentonite pellet mixtures.
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            NameFull: Liu, Zhang-Rong
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            NameFull: Cui, Yu-Jun
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            NameFull: Ye, Wei-Min
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            NameFull: Zhang, Zhao
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            NameFull: Wang, Qiong
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              M: 04
              Text: Apr2020
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              Y: 2020
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              Value: 241
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