Mechanics‐specific recurrent neural network (RNN) models are known for their ability to
describe the complex three‐dimensional stress–strain response of elasto‐plastic solids for …

This work introduces a finite element model updating (FEMU) identification scheme to
determine the material parameters of an anisotropic metal plasticity model. Surround digital …

Describing the anisotropic yielding behavior of sheet metal requires the determination of a
yield criterion along with its model parameters. A method often used for this task is inverse …

The fracture behavior of natural fracture in the geological reservoir subjected to filling
property, affects the crack initiation and propagation under stress perturbation. Partial filling …

Research on data-driven constitutive models has demonstrated their outstanding ability to
provide highly accurate predictions of the general stress-strain response after learning from …

Accurate quantification of the true stress-strain curve over an extensive strain range is
pivotal for elucidating material mechanical properties and simulating non-linear plastic …

The potential of using specimens with a double-semicircular-notched configuration for
performing tensile tests of orthodontic thermoplastic aligner materials was explored …

The tensile test is widely used for identifying the material plastic flow curve: this is a
fundamental step in the design and in material behavior analysis. However, during these …

The interface of slab track laid in cold regions is prone to debonding under the coupling of
freeze-thaw cycles and temperature loads. Based on the composite specimen tests, the …

In 3D constitutive models, the hardening law is an essential model ingredient that has a first
order effect on the predicted stress–strain response. In most phenomenological plasticity …