A multiscale experimentally-based finite element model to predict microstructure and damage evolution in martensitic steels

Meade, Edward D.; Sun, Fengzhen; Tiernan, Peter; O’Dowd, Noel P.

doi:10.1016/j.ijplas.2021.102966

Cited by 18 publications

(2 citation statements)

References 38 publications

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“…[ 30 ] Edward et al used the GTN model to predict the damage behavior of martensitic steel. [ 31 ] Ductile fracture behavior of thin metal plates is examined using the GTN model. [ 32 ] Amani et al dissect the microtensile behavior of struts extracted from an aluminum foam with a GTN model.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of the Gurson–Tveergard–Needleman Model Parameters for AISI 1045 Steel

Oztekin

Yılmaz

2023

steel research int.

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Void nucleation, void growth, and void coalescence are the stages of ductile fracture. [1] Initial voids present in nondeformed material as a result of previous manufacturing processes like forging, rolling. [2] The initial voids are able to grow in size. Also, new voids are initiated during plastic deformation. All the initial and the initiated voids grow and then coalescence of voids occurs. [3] Second-phase particles, such as inclusions, can also serve as sources of new voids. [4] Ultimately, ductile fracture occurs through the coalescence of voids. [5] Gurson proposes a model for void-related damage in porous domains. [6] Tveergard and Needleman also contribute to the original porous metal plasticity theory. [7,8] Their Gurson-Tveergard-Needleman (GTN) damage model has been widely used to predict ductile deformation and metal fracture. On the other hand, even if widely used to predict ductile deformation characteristics of materials, the GTN model is less effective in predicting damage behavior under low-stress triaxiality, instead under high-stress triaxiality. [9] Also, some studies exist related to low-stress triaxiality for the GTN model. [10,11] The GTN model is preferred for achieving precise modeling of metallic materials that are investigated for their deformation behavior due to their widespread use around the globe. In the literature, researchers have focused on the GTN model in three aspects: parameter identification, model modification, and model usage in applications.Researchers attempt to obtain the parameters using various methodologies such as trial and error, numerical analysis, and advanced experimental techniques. Kahziz et al. examine and identify the steps of void development by in situ X-ray laminography of CT specimens. [12] Another study identifies GTN parameters by artificial neural network and tensile test results. [13] Petit et al. characterize the deformation behavior of 6061 aluminum foam and then validate their results with GTN-based finite element method (FEM) models. [14] Cao et al. study to characterize the ductile damage mechanism of high carbon steel by utilizing X-ray microtomography and mechanical tests. [15] According to the study, void nucleation and void size increase exponentially related to effective plastic strain. Kossakowski studied the GTN model for S235JR steel for spatial stress states. [16] The study by Yuenyong et al. finds void volume fractions with a method called direct potential drop which is performed by correlating void density with the change in the electrical resistance of examined area. [17] Wcislik examines final void volume fractions of fracture surfaces of structural steel with scanning electron microscopy (SEM) images and image processing. [18] Xu et al. develop GTN and Thomson models based on the damage model which consists of size and geometry effects for void development. [19] Ouladbraim et al. utilized GTN model-based tensile test simulations to obtain to necessary data for artificial neural networks. [20]

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Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of the Gurson–Tveergard–Needleman Model Parameters for AISI 1045 Steel

Oztekin

Yılmaz

2023

steel research int.

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“…Hill's homogenization scheme has become well-established and has been used for numerous materials to investige different phenomena and effects, such as the elasto-plastic response of composites [3], thermo-mechanically coupled material behavior [4], crack-evolutions in concrete [5], and ductile failure of high strength aluminim [6], to name only a few. In addition, Hill's approach has been used to generate training data for neuronal network applications, see e.g.…”

Section: Introductionmentioning

confidence: 99%

Averaging techniques for microstructures with localization bands due to damage progression

Simon

Poggenpohl

Holthusen

2023

Proc Appl Math and Mech

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In multiscale analysis, homogenization methods are needed to up-scale the micromechanical response obtained from investigating the underlying microstructure to the next higher scale. The standard homogenization schemes are based on volume averaging over the entire microstructure following Hill's approach, which requires that the virtual energies generated on the two involved scales equalize. However, these standard homogenization schemes are not applicable to softening phenomena due to localization, and representativeness of the considered microscale volume is lost. One way to overcome these drawbacks is to perform the volume averaging only within the localizing failure zone. Thereby, representative results can be achieved even in the softening region. In this paper, we apply the failure zone homogenization approach to both, mode I and mode II loading scenarios, as well as mixed-mode loading of long fiber reinforced plastics. For an accurate description of material failure within the epoxy matrix, a scalar damage model at large strains with gradient enhancement is used, such that the obtained results are mesh-independent. As a result, we show that for all considered cases representative volume element (RVE) sizes can be determined by using the failure zone homogenization scheme. Nevertheless, the energy distributions of all involved mechanisms have to be considered carefully in order to allow generalizations.

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Investigation of creep-fatigue crack initiation by using an optimal dual-scale modelling approach

Wang

et al. 2023

International Journal of Fatigue

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A multiscale experimentally-based finite element model to predict microstructure and damage evolution in martensitic steels

Cited by 18 publications

References 38 publications

Experimental and Numerical Investigation of the Gurson–Tveergard–Needleman Model Parameters for AISI 1045 Steel

Experimental and Numerical Investigation of the Gurson–Tveergard–Needleman Model Parameters for AISI 1045 Steel

Averaging techniques for microstructures with localization bands due to damage progression

Investigation of creep-fatigue crack initiation by using an optimal dual-scale modelling approach

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