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The profile of the stress vs. strain curves being obtained experimentally suggests also that the mechanical behaviour of the 3D-printed PLA being investigated can be modelled accurately without requiring the use of complex non-linear material models, with this resulting in a great simplification of the design problem.
The dynamic cyclic compression testing was carried out to establish nonlinear material models with multiple regression technique.
Material models with damage parameters were specified for the concrete and grout used in the test specimens using the Concrete Damage Plasticity (CDP) option.
Modified material models with strain softening effect are developed to simulate chip formation with finite element analysis and investigate temperature fields for coated inserts.
Two types of power-law material models with the symmetrical and asymmetrical volume fraction distribution are suggested to characterize the in-plane material inhomogeneity.
Temperature dependent material properties were used to create three material models with properties corresponding to ambient temperatures −55°CC, 20 °C and 82 °C.
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For the steel reinforcement and rigid links modeling, was used the bilinear elasto-plastic material model with kinematic strain hardening (stl1).
This paper presents a modelling strategy that combines neuro-fuzzy methods to define the material model with cellular automata representations of the microstructure, all embedded within a finite element solver that can deal with the large deformations of metal processing technology.
A nonlinear Mohr Coulomb material model with a tension cutoff was used in all present simulations.
A linearized porous brittle damage material model with distributed frictional-cohesive faults.
A unified viscoplastic constitutive material model with an incorporated damage variable was applied for lifetime assessment.
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