A return mapping algorithm based on the hyper dual step derivative approximation for elastoplastic models

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Xin Zhou
  • Anyu Shi
  • Dechun Lu
  • Xiaoying Zhuang
  • Xinzheng Lu
  • Xiuli Du
  • Yun Chen

Research Organisations

External Research Organisations

  • Beijing University of Technology
  • Tsinghua University
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Details

Original languageEnglish
Article number116418
JournalComputer Methods in Applied Mechanics and Engineering
Volume417
Early online date15 Sept 2023
Publication statusPublished - 1 Dec 2023

Abstract

Accurately evaluating derivatives poses a key challenge when numerically implementing complex constitutive models. This work presents an implicit stress update algorithm that utilizes the hyper dual step derivative approximation to address derivative evaluations in elastoplastic problems. Initially, the performance of various numerical differentiation methods is discussed and compared by examining their numerical errors in the representative example. Subsequently, the hyper dual step derivative approximation, without truncation and subtractive cancellation errors, is employed to compute the Jacobian matrix and consistent tangent operator, ensuring quadratic convergence in both local and global computations. The size of the Newton search step is optimized by the line search technique, thereby enhancing the convergence in solving nonlinear stress integral equations. Finally, the proposed stress update algorithm is used to implement the non-associated Mohr–Coulomb plastic model in the ABAQUS software using the UMAT subroutine. The stress update algorithm's performance and its practical application in geotechnical engineering problems are demonstrated using five boundary value problems.

Keywords

    Consistent tangent operator, Hyper dual step approximation, Line search method, Plastic model, Stress update algorithm

ASJC Scopus subject areas

Cite this

A return mapping algorithm based on the hyper dual step derivative approximation for elastoplastic models. / Zhou, Xin; Shi, Anyu; Lu, Dechun et al.
In: Computer Methods in Applied Mechanics and Engineering, Vol. 417, 116418, 01.12.2023.

Research output: Contribution to journalArticleResearchpeer review

Zhou X, Shi A, Lu D, Zhuang X, Lu X, Du X et al. A return mapping algorithm based on the hyper dual step derivative approximation for elastoplastic models. Computer Methods in Applied Mechanics and Engineering. 2023 Dec 1;417:116418. Epub 2023 Sept 15. doi: 10.1016/j.cma.2023.116418
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abstract = "Accurately evaluating derivatives poses a key challenge when numerically implementing complex constitutive models. This work presents an implicit stress update algorithm that utilizes the hyper dual step derivative approximation to address derivative evaluations in elastoplastic problems. Initially, the performance of various numerical differentiation methods is discussed and compared by examining their numerical errors in the representative example. Subsequently, the hyper dual step derivative approximation, without truncation and subtractive cancellation errors, is employed to compute the Jacobian matrix and consistent tangent operator, ensuring quadratic convergence in both local and global computations. The size of the Newton search step is optimized by the line search technique, thereby enhancing the convergence in solving nonlinear stress integral equations. Finally, the proposed stress update algorithm is used to implement the non-associated Mohr–Coulomb plastic model in the ABAQUS software using the UMAT subroutine. The stress update algorithm's performance and its practical application in geotechnical engineering problems are demonstrated using five boundary value problems.",
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AU - Lu, Dechun

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AU - Lu, Xinzheng

AU - Du, Xiuli

AU - Chen, Yun

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