View in EDS PDF Full Text

STUDY ON FAILURE PROCESS OF TAILING DAMS BASED ON PARTICLE FLOW THEORIES.

Saved in:
Bibliographic Details
Title: STUDY ON FAILURE PROCESS OF TAILING DAMS BASED ON PARTICLE FLOW THEORIES.
Authors: Yuan, L.-W.1 kertylw@163.com, Li, S.-M.1 153064487@qq.com, Peng, B.2 420858827@qq.com, Chen, Y.-M.1 ch_yuming@163.com
Source: International Journal of Simulation Modelling (IJSIMM). Dec2015, Vol. 14 Issue 4, p658-668. 11p.
Subjects: Failure Analysis System (Computer system), Dams, Discrete systems, Computer software, Discrete element method, Parameters (Statistics)
Abstract: Based on a tailing dam project, tailing sands are simulated as discrete materials in this paper. Taking the distribution rule of tailing sands into account, the discrete element software PFC2D is adopted to examine the stability and instability process of the dam according to fundamental particle flow principles. The PFC2D model is established according to the deposition rule of tailing sands in the tailing dam then the function of strength reduction is proposed based on the principle of strength reduction to simulate the flooding condition as well as the factor of safety at the stable state and the displacement at the instability process under the particular condition. In addition, comparison is made with the limit equilibrium method and the obtained difference in factor of safety is discussed. The obtained factor of safety for the stability of dam slope from PFC2D analysis is higher than expectation mainly because the micro-parameters in PFC2D affect many macro-parameters simultaneously and the relation between micro-parameters and macro-parameters are nonlinear, which well fits engineering practice. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International 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 Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 111720509
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: STUDY ON FAILURE PROCESS OF TAILING DAMS BASED ON PARTICLE FLOW THEORIES.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yuan%2C+L%2E-W%2E%22">Yuan, L.-W.</searchLink><relatesTo>1</relatesTo><i> kertylw@163.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+S%2E-M%2E%22">Li, S.-M.</searchLink><relatesTo>1</relatesTo><i> 153064487@qq.com</i><br /><searchLink fieldCode="AR" term="%22Peng%2C+B%2E%22">Peng, B.</searchLink><relatesTo>2</relatesTo><i> 420858827@qq.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Y%2E-M%2E%22">Chen, Y.-M.</searchLink><relatesTo>1</relatesTo><i> ch_yuming@163.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Simulation+Modelling+%28IJSIMM%29%22">International Journal of Simulation Modelling (IJSIMM)</searchLink>. Dec2015, Vol. 14 Issue 4, p658-668. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Failure+Analysis+System+%28Computer+system%29%22">Failure Analysis System (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22Dams%22">Dams</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+systems%22">Discrete systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+element+method%22">Discrete element method</searchLink><br /><searchLink fieldCode="DE" term="%22Parameters+%28Statistics%29%22">Parameters (Statistics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Based on a tailing dam project, tailing sands are simulated as discrete materials in this paper. Taking the distribution rule of tailing sands into account, the discrete element software PFC2D is adopted to examine the stability and instability process of the dam according to fundamental particle flow principles. The PFC2D model is established according to the deposition rule of tailing sands in the tailing dam then the function of strength reduction is proposed based on the principle of strength reduction to simulate the flooding condition as well as the factor of safety at the stable state and the displacement at the instability process under the particular condition. In addition, comparison is made with the limit equilibrium method and the obtained difference in factor of safety is discussed. The obtained factor of safety for the stability of dam slope from PFC2D analysis is higher than expectation mainly because the micro-parameters in PFC2D affect many macro-parameters simultaneously and the relation between micro-parameters and macro-parameters are nonlinear, which well fits engineering practice. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=111720509
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2507/IJSIMM14(4)8.322
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 658
    Subjects:
      – SubjectFull: Failure Analysis System (Computer system)
        Type: general
      – SubjectFull: Dams
        Type: general
      – SubjectFull: Discrete systems
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Discrete element method
        Type: general
      – SubjectFull: Parameters (Statistics)
        Type: general
    Titles:
      – TitleFull: STUDY ON FAILURE PROCESS OF TAILING DAMS BASED ON PARTICLE FLOW THEORIES.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yuan, L.-W.
      – PersonEntity:
          Name:
            NameFull: Li, S.-M.
      – PersonEntity:
          Name:
            NameFull: Peng, B.
      – PersonEntity:
          Name:
            NameFull: Chen, Y.-M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 17264529
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of Simulation Modelling (IJSIMM)
              Type: main
ResultId 1