Computational methods for plasticity
By E. A. Souza Neto, D. Peri, David R. Owen. 2008
508 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/e6fce488d2692a936bf24e41bb494e8c9ae7cb7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Mechanical Engineering
In Mechanics of Materials
- Antonio André Novotny
- E. A. Souza Neto
- Samuel Amstutz
- WaiChing Sun
- Andrew G. Salinger
- Jakob T. Ostien
- Kun Wang
- Ole Sigmund
Citations in the corpus
- Topological derivative-based topology optimization of structures subject to Drucker–Prager stress constraints (2012, methodology): “These parameters are obtained from the Drucker-Prager biaxial fit model [13] to match a tensile and compressive yield strength of fc = 30.”
- On the existence of a unique class of yield and failure criteria comprising Tresca, von Mises, Drucker–Prager, Mohr–Coulomb, Galileo–Rankine, Matsuoka–Nakai and Lade–Duncan (2016, background): “[31] to deal with the cusps at the implementation level.”
- A stabilized assumed deformation gradient finite element formulation for strongly coupled poromechanical simulations at finite strain (2013, background): “Furthermore, it can be easily shown that (53) is identical to the midpointassumed deformation gradient formulation in [32] if ̨ D 0 and the volume averaging of logJ.”