IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6686609.html
   My bibliography  Save this article

Mesoscopic Simulation Method for Uniaxial Compression Test of RCC Dam Material Based on DEM

Author

Listed:
  • Zilong Li
  • Yang Tang

Abstract

The roller compacted concrete (RCC) dam has become one of the most competitive dam types due to its fast construction speed, low cost, and strong adaptability. However, the macroscale compaction test can hardly reflect the mesoscopic structure on the RCC’s rolling characteristics. According to the characteristics of RCC dam materials, a numerical discrete element method (DEM) is proposed in this paper, which is used to simulate the irregular shape and proportion of RCC aggregates. Moreover, a mesoscopic parameter inversion method based on the adaptive differential evolution (ADE) algorithm is proposed to enhance the efficiency of model contact parameters determination and overcome the inconvenience and time-consumption of conventional methods. Compared with the physical test, the simulation compression curve has good consistency with the physical test curve, and the proposed method can adequately reflect the physical and mechanical properties of RCC dam materials, which provides a basis for the subsequent research on the properties of RCC dam materials under different filling times.

Suggested Citation

  • Zilong Li & Yang Tang, 2020. "Mesoscopic Simulation Method for Uniaxial Compression Test of RCC Dam Material Based on DEM," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, December.
    • Handle: RePEc:hin:jnlmpe:6686609
    DOI: 10.1155/2020/6686609
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/6686609.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/6686609.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/6686609?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:6686609. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.