A stabilized assumed deformation gradient finite element formulation for strongly coupled poromechanical simulations at finite strain
By WaiChing Sun, Jakob T. Ostien, Andrew G. Salinger. 2013
149 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/873e3f0866e92f0719f4579d9aa81f4d3778121e
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In Biomedical Engineering
In Computational Mechanics
In Mechanics of Materials
Citations in the corpus
- Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning (2018, methodology): “(2) The internal variables in q , if the cohesive surface is composed of a thin layer of granular materials, can be chosen among a large set of geometrical measures on micro-structural attributes [Sun et al., 2013a, Kuhn et al., 2015].”
- Coupled effective stress analysis of insertion problems in geotechnics with the Particle Finite Element Method (2018, methodology): “To deal with this second source of incompressibility mixed formulations have been proven effective (Sun et al, 2013).”
- A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning (2018, background): “[53], Sun [54], Choo and Borja [47] and Krischok and Linder [55].”
- The Schwarz alternating method in solid mechanics (2017, background): “ALBANY hosts a number of science and engineering applications, including the AERAS global atmosphere code [59], the Finite Elements for Land Ice eXperiments (FELIX) [63] ice sheet model solver, the Quantum Computer Aided Design (QCAD) [25] simulator, and the Laboratory for Computational Mechanics (L”
- Stress-induced anisotropy in granular materials: fabric, stiffness, and permeability (2015, background): “While continuum-based numerical models, such as [67,65], often employ the size of the void space to predict permeability, the anisotropy of the effective permeability is often neglected.”