Back

Optimization and verification of 3D continuum-discrete coupled algorithm.

  • Published In: Sādhanā: Academy Proceedings in Engineering Sciences, 2025, v. 50, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Li, Yuqi; Jing, Yuting; Wang, Yue; Yue, Qingya; Fang, Yu 3 of 3

Abstract

When the microscopic mechanism research of large-scale geotechnical engineering is studied, a dual-scale coupled model is usually required. Triangular interface mesh was introduced into the existing three-dimensional dual-scale coupled model to optimize the meshes of a continuum model. The calculation formula for the vertical force on pile group foundation under eccentric vertical load was adopted to transfer the force on the interface wall from a discrete model zone to a continuous model zone, and barycentric interpolation coordinate method was adopted to transfer the node velocity of triangular interface mesh in a continuous model zone to the interface wall in a discrete zone. The centrifuge model test of soil under dynamic compaction was simulated using the optimized three-dimensional dual-scale coupled algorithm, and the numerical results were compared with those of the centrifuge model test and the existing three-dimensional coupled model. The results show that when the triangle interface was introduced, the sizes of the discrete model and the continuous model were both smaller than those of the coupled model with quadrilateral interface. The study in this paper perfects the existing 3D dual-scale coupled model and provides a reference for the 3D dual-scale coupling of other geotechnical engineering. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Sādhanā: Academy Proceedings in Engineering Sciences. 2025/03, Vol. 50, Issue 1, p1
  • Document Type:Article
  • Subject Area:Mathematics
  • Publication Date:2025
  • ISSN:0256-2499
  • DOI:10.1007/s12046-025-02685-2
  • Accession Number:183467299
  • Copyright Statement:Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.