4.7 Article

Numerical simulations of arbitrary evolving cracks in geotechnical structures using the nonlinear augmented finite element method (N-AFEM)

期刊

MECHANICS OF MATERIALS
卷 156, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.mechmat.2021.103814

关键词

Augmented finite element method; Geomaterials; Nonlinear fracture; Strain localization; Cohesive zone model

资金

  1. National Key Research and Development Program of China [2016YFC0800200]
  2. NSFC [51578502, 11902296]

向作者/读者索取更多资源

This paper presents an integrated numerical algorithm based on the nonlinear augmented finite element method (N-AFEM) to accurately simulate the arbitrary evolving strong discontinuities and failure behaviors in geotechnical structures. By introducing novel nonlinear elemental augmentation and condensation scheme, a modified exponential cohesive zone model, and a nonlinear yielding function based on the Mohr-Coulomb strength theory, the method successfully describes the fracture process of geomaterials. Several benchmark examples were simulated to validate the proposed method by comparing predicted results with existing numerical or experimental data.
This paper presents an integrated numerical algorithm based on the nonlinear augmented finite element method (N-AFEM) to accurately simulate the arbitrary evolving strong discontinuities (cracks/slip lines) and failure behaviors in geotechnical structures. A novel nonlinear elemental augmentation and condensation scheme was first proposed within the N-AFEM framework, which allows the consideration of nonlinear coupled intra-element cracks without the need of additional nodes or nodal DoFs. Then a modified exponential cohesive zone model (CZM) that considers the coupling effects between tension/compression and shear at the fracture surface was proposed to describe the fracture process of geomaterials. Besides, a nonlinear yielding function based on the Mohr-Coulomb strength theory was introduced into the framework and serves as the fracture initiation criteria for geomaterials. Finally, several benchmark examples were simulated and the predicted results were compared with existing numerical or experimental data to demonstrate the validity of the proposed method.

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