Experimental and Numerical Investigation of Hydrogen Embrittlement Effect on Microdamage Evolution of Advanced High-Strength Dual-Phase Steel

Asadipoor, M.; Kadkhodapour, Javad; Anaraki, Ali Pourkamali; Sharifi, Seyed Mohammad Hossein; Darabi, Ali; Barnoush, Afrooz

doi:10.1007/s12540-020-00681-1

Cited by 29 publications

(8 citation statements)

References 82 publications

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“…This phenomenon aligns with the proposed HELP +HEDE mechanism, where HELP surpasses HEDE (HELP>HEDE) in significance, which occurs at the lower concentration of hydrogen. 30,[67][68][69][70] Further observing the fracture surface reveals the occurrence of HEDE micro-incidents like micro-IG cracks and fissures, as shown in the inset in Figure 5B. This phenomenon can happen at the micro level with higher local hydrogen concentration above the critical, and similar features have been reported in other literature.…”

Section: Extended Finite Element Methods (Xfem) Reviewsupporting

confidence: 67%

“…Similar fracture features have been reported previously, further supporting the co-occurrence of these mechanisms. 23,67,80,82 Based on the SEM images, it can be inferred that both the HELP and HEDE (HELP+HEDE) mechanisms were active during the fracture in the present case. Thus, the reduction in the fracture toughness observed in hydrogenated specimens can be attributed to the synergistic action of the HELP and HEDE mechanisms (HELP+HEDE, HEDE>HELP).…”

Section: Fracture Toughnessmentioning

confidence: 60%

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The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

Bharati,

Maity,

Singh

et al. 2024

Fatigue Fract Eng Mat Struct

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This research investigates the fatigue crack evolution in P91 steel through experiments and extended finite element method (XFEM) simulation for as‐received and hydrogenated conditions. Hydrogen pre‐charging is performed using a constant current electrochemical method in 1 M sulfuric acid solution. The study compares the experimental fatigue crack growth rate (FCGR) of hydrogenated and as‐received conditions and employs an XFEM simulation to replicate FCGR. The results of the experiments reveal an increased FCGR in hydrogenated specimens. Fracture surface analysis confirms the co‐occurrence of the “hydrogen‐enhanced localized plasticity” (HELP) and “hydrogen‐enhanced decohesion” (HEDE) mechanism (HELP+HEDE, HEDE>HELP). The simulation results closely align with the experimental findings, validating the model's accuracy. Consequently, these findings are the basis for proposing a damage tolerance approach‐based numerical algorithm. This algorithm allows the prediction of component integrity by considering a known crack length. Furthermore, fracture toughness (KIQ) was experimentally evaluated to enhance the understanding of the material's mechanical properties.

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Section: Extended Finite Element Methods (Xfem) Reviewsupporting

confidence: 67%

Section: Fracture Toughnessmentioning

confidence: 60%

The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

Bharati,

Maity,

Singh

et al. 2024

Fatigue Fract Eng Mat Struct

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“…An important aspect of hydrogen diffusion is the increased diffusion towards regions of high hydrostatic stress, such as crack tips [ 18 ]. Previous studies have neglected this aspect in their continuum models [ 19 , 20 , 21 ], which is only acceptable when the loading rate is large enough compared to the diffusion coefficient [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…It should be noted that Yu et al [ 31 ], Depraetere et al [ 32 ] and Lin et al [ 33 ] only considered the development of the model, and did not apply the model yet to compare with experimental tests. Asadipoor et al [ 20 ], on the other hand, employed a Gurson model for modeling hydrogen-charged flat strip tensile tests. However, only one geometry was modeled, and instead of making the Gurson parameters dependent on the hydrogen concentration, all Gurson parameters were simply recalibrated for the hydrogen-charged specimens.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Hydrogen-Charged Notched Tensile Tests of an X70 Pipeline Steel with a Hydrogen-Informed Gurson Model

et al. 2023

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Hydrogen can degrade the mechanical properties of steel components, which is commonly referred to as “hydrogen embrittlement” (HE). Quantifying the effect of HE on the structural integrity of components and structures remains challenging. The authors investigated an X70 pipeline steel through uncharged and hydrogen-charged (notched) tensile tests. This paper presents a combination of experimental results and numerical simulations using a micro-mechanics-inspired damage model. Four specimen geometries and three hydrogen concentrations (including uncharged) were targeted, which allowed for the construction of a fracture locus that depended on the stress triaxiality and hydrogen concentration. The multi-physical finite element model includes hydrogen diffusion and damage on the basis of the complete Gurson model. Hydrogen-Assisted degradation was implemented through an acceleration of the void nucleation process, as supported by experimental observations. The damage parameters were determined through inverse analysis, and the numerical results were in good agreement with the experimental data. The presented model couples micro-mechanical with macro-mechanical results and makes it possible to evaluate the damage evolution during hydrogen-charged mechanical tests. In particular, the well-known ductility loss due to hydrogen was captured well in the form of embrittlement indices for the different geometries and hydrogen concentrations. The limitations of the damage model regarding the stress state are discussed in this paper.

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“…After the modifications to Gurson's constitutive equations, the model is called as "GTN model" and enabled to predict ductile damage in metals. Researchers have carried out numerous studies to model ductile fracture for different applications, including tensile testing, [10][11][12][13][14][15] formability limit diagrams, [16][17][18][19][20] small punch tests, [21][22][23] electromagnetic impaction, [24] Charpy V-notch test, [25,26] bending, [27][28][29] tube hydroforming, [30,31] roll forming. [32] The constitutive equations of the GTN damage model require nine different parameters.…”

mentioning

confidence: 99%

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

Yildiz

2022

steel research int.

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Ductile fracture is commonly considered as a mechanical response of nucleation, growth, and finally, coalescence of voids in metallic alloys induced by plastic deformation. Several micromechanical ductile fracture models and criteria have been developed within the past 50 years. In 1968, McClintock [1] established ductile fracture criteria for the growth of long cylindrical void under applied stress. Next year, Rice and Tracey [2] analytically modeled the growth of spherical voids in a tension strain field. In both cases, high-stress triaxiality increases the void growth rate exponentially. Later, Gurson [3] developed constitutive equations for porous materials using the upper bound theorem of plasticity. Gurson's yield criteria was based on the assumption of idealization of a single void in a rigid plastic cell (to represent matrix) in which the void volume fraction was defined as "f ". Similarly, Rousselier [4] proposed a macroscopic approach to predict ductile damage using the continuum thermodynamics. Also, Lemaitre [5] put forth a model for ductile fracture in the framework of thermodynamics: effective elasticity modulus, which decreases with an increase in the damage.Chu and Needleman [6] published a void nucleation model employing Gurson's yield criteria. Next, Tvergaard [7,8] conducted a bifurcation analysis on the shear band instabilities and void coalescence in localized shear bands in a continuum model with a void-matrix aggregate proposed by Gurson. Later, Tvergaard and Needleman [9] carried out a finite element analysis for the coalescence of voids and introduced a modification to the yield condition. After the modifications to Gurson's constitutive equations, the model is called as "GTN model" and enabled to predict ductile damage in metals. Researchers have carried out numerous studies to model ductile fracture for different applications, including tensile testing, [10][11][12][13][14][15] formability limit diagrams, [16][17][18][19][20] small punch tests, [21][22][23] electromagnetic impaction, [24] Charpy V-notch test, [25,26] bending, [27][28][29] tube hydroforming, [30,31] roll forming. [32] The constitutive equations of the GTN damage model require nine different parameters. In the literature, scholars determined these parameters with different methods for various materials. Ali and Huang [33] utilized a statistical approach, response surface methodology (RSM), to estimate damage for AZ61 Mg alloy. They coupled a finite element model (FEM), which is developed in ANSYS and evaluated the response of each variable on the regression model coefficients. Their approximation algorithm compared the results of each increment with the experimentally obtained tensile test results that initially start with the literature values for different materials, including steel, titanium, and aluminum alloys. Similarly, Abbasi and colleagues [34] determined GTN model parameters by RSM for the tailor-welded monolithic interstitial free (IF)-steel blanks. They compared the results of FEM, which was constructed on the...

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Experimental and Numerical Investigation of Hydrogen Embrittlement Effect on Microdamage Evolution of Advanced High-Strength Dual-Phase Steel

Cited by 29 publications

References 82 publications

The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

Modeling of Hydrogen-Charged Notched Tensile Tests of an X70 Pipeline Steel with a Hydrogen-Informed Gurson Model

Numerical Analysis of the Damage Evolution of DP600 Steel Using Gurson–Tvergaard–Needleman Model

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