Skip to main navigation Skip to search Skip to main content

Approaches to improve the convergence and efficiency of the implicit stress integration algorithm for the unified hardening model

  • Yu Tian
  • , Lianqun Li
  • , Yangping Yao*
  • , Dechun Lu
  • , Xiuli Du
  • *Corresponding author for this work
  • Beijing University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

To realize the numerical calculation of the unified hardening (UH) model for soils, the closest point projection method (CPPM) is used to do the stress integration in the finite element analysis. A package of approaches is proposed to improve the convergence and efficiency of the algorithm. An implicit differentiation method, which can greatly save the computational cost and storage space, is employed to calculate the second derivatives of the 3D yield function generalized by the transformed stress (TS) method. In addition, the denominator of the UH law is equal to 0 at the characteristic state and critical state, while the TS equation contains a square root and may be invalid for tensile stress. These singular problems are solved by introducing subtle treatments without changing the calculation results of the UH model. The consistent tangent operator corresponding to the stress integration can be expressed in a concise form. Finally, a series of simple loading tests and finite element simulations of the bearing capacity of a rigid circular foundation are conducted to evaluate the accuracy, convergence and efficiency of the proposed algorithm.

Original languageEnglish
Article number105992
JournalComputers and Geotechnics
Volume166
DOIs
StatePublished - Feb 2024

Keywords

  • Bearing capacity
  • Closest point projection method
  • FEM simulation
  • Stress integration
  • Transformed stress
  • UH model

Fingerprint

Dive into the research topics of 'Approaches to improve the convergence and efficiency of the implicit stress integration algorithm for the unified hardening model'. Together they form a unique fingerprint.

Cite this