2018
DOI: 10.1111/ffe.12914
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Elastoplastic response and failure assessment of steel alloys: Empirical and computational analyses

Abstract: 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 m… Show more

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Cited by 11 publications
(12 citation statements)
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References 31 publications
(79 reference statements)
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“…The DIC analysis conformed to the previous experiments performed by the authors. [24][25][26] Figure 3 depicts details on the DIC field of view, facet field and speckle pattern for the slant-cracked specimen, if θ = 45 .…”
Section: Model Definitionmentioning
confidence: 99%
“…The DIC analysis conformed to the previous experiments performed by the authors. [24][25][26] Figure 3 depicts details on the DIC field of view, facet field and speckle pattern for the slant-cracked specimen, if θ = 45 .…”
Section: Model Definitionmentioning
confidence: 99%
“…In order to perform the DIC analysis, to build a random pattern, the specimen was coated with a white matt ink and speckled with black dots as can be seen in Figure A. The procedure of DIC analysis followed former relevant works as for example Farahani et al As shown in Figure A, a concentrated load P = 1000.0 N, perpendicular to the crack plane, was prescribed respecting the test system frequency of f = 10.0 Hz. Figure B depicts the anticipated dead zone region (ideal unloaded one) near the crack flanks and also the intended area ahead of the crack tip to be considered in the compliance calculations.…”
Section: Model Definitionmentioning
confidence: 99%
“…As the literature substantiated, 19,30,[46][47][48] the GTN damage criterion possesses a reasonable efficiency to forecast the damaged region and fracture characteristics such as stress triaxiality (TF), thickness variation, porosity and equivalent plastic strain (PEEQ). Among all, the TF could significantly affect material's stress/strain variation and later on the damage expansion.…”
Section: Fea: Ductile Fracture Predictionmentioning
confidence: 99%
“…16 Stuparu et al 17 adopted DIC to figure out the failure phase of dissimilar single lap joints manufactured from aluminium alloys and carbon fibre adherents considering various thicknesses. DIC was also adopted to study the failure mechanism of metallic alloys resorting to the fracture characterization, 18 damage phenomenon 8,19,20 and elastoplastic response. 7,21 It was also adopted to study how damage can influence on the strength of notched composite laminates.…”
Section: Introductionmentioning
confidence: 99%