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Elastoplastic response and failure assessment of steel alloys: Empirical and computational analyses
Author(s) -
Farahani Behzad V.,
Belinha Jorge,
Tavares Paulo J.,
Moreira Pedro M.G.P.
Publication year - 2019
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/ffe.12914
Subject(s) - digital image correlation , von mises yield criterion , materials science , finite element method , isotropy , plasticity , structural engineering , nonlinear system , tension (geology) , hardening (computing) , mechanics , composite material , engineering , ultimate tensile strength , physics , layer (electronics) , quantum mechanics
This work aims to study material nonlinearity related to a dual‐phase Steel (DP600) specimen loaded under a tension. Experiment is performed, and then captured data are processed by 3D digital image correlation (DIC). It deals with two analyses; firstly, elastoplastic response of material due to tension up to material plastification. Then, the problem is modelled using FEM, considering an isotropic von Mises criterion/hardening behaviour. To obtain comparable numerical results, model is solved using meshless methods. Besides strain fields, load/displacement response is evaluated, and numerical formulations are validated with experimental solution. Second, failure phenomenon due to plasticity is studied since material undergoes its failure. The empirical results rely on DIC, and then, damage model is resolved using Gurson‐Tvergaard‐Needleman (GTN) criterion. As a result, the engineering stress/strain curves are reported. Comparisons are made between DIC and GTN damage model. Promising computational results are verified by DIC results implying that supportive strategy is proficient.