Uniaxial cyclic elasto-plastic deformation and fatigue failure of API-5L X65 steel under various loading conditions

Fatoba, Olusegun; Akid, Robert

doi:10.1016/j.tafmec.2018.01.015

Cited by 30 publications

(14 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The chemical composition is given in Table 1. The 0.2% proof strength, ultimate tensile strength and elongation of the steel are 524 MPa, 614 MPa and 31% respectively [50]. Metallographic analysis showed that the microstructure is composed mainly of pseudo-polygonal and equiaxed ferrite grains.…”

Section: Methodsmentioning

confidence: 98%

“…software [67] was developed using Matlab ® scripting language [60]. The script converts the output matrix from the CA into a solid part, creates and assigns material properties (stress-strain test data of X65 steel [50]) to the part, and creates an assembly of the part and analysis steps for the simulation. It also applies boundary condition by restricting the elements on the left edge of the metal matrix from rotation and displacement (see Figure 9) and refines the mesh around the pit.…”

Section: Finite Element Analysis Of Pit Geometrymentioning

confidence: 99%

See 1 more Smart Citation

Simulation of stress-assisted localised corrosion using a cellular automaton finite element approach

et al. 2018

View full text Add to dashboard Cite

Highlights  Stress-assisted localised corrosion is simulated using cellular automata finite element approach.  Localised corrosion component of the damage is modelled using cellular automata.  Stress concentration effect of pit geometry is analysed using finite element method.  A feedback loop between the cellular automaton and finite element models allows simulation of stress-assisted localised corrosion.  Comparison of simulation results with experimental measurements show good agreement.

show abstract

Section: Methodsmentioning

confidence: 98%

Section: Finite Element Analysis Of Pit Geometrymentioning

confidence: 99%

Simulation of stress-assisted localised corrosion using a cellular automaton finite element approach

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Different parameters like peak strain, mean strain, mean true strain, and mean true plastic strains have been considered for quantifying the ratcheting strain by earlier investigators. The present study considers ratcheting strain ( ε r ) for a material as the one used by the concerned investigators for comparison of the current results with earlier predictions; the ratcheting strain for the examination of Zr‐4 zirconium alloy and TA16 titanium alloy is considered as the mean strain, while the peak strain is used as a measure of the ratcheting strain for AA7075 alloy.…”

Section: Resultsmentioning

confidence: 99%

Prediction of asymmetric cyclic‐plastic behaviour for cyclically stable non‐ferrous materials

Nath

Barai

Ray

2019

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

Investigation on asymmetric cyclic‐plastic or ratcheting behaviour of non‐ferrous materials has received relatively little attention compared with ferrous materials. Ratcheting behaviour of materials is generally simulated using isotropic‐kinematic hardening models; however, for materials showing cyclically stable response, isotropic hardening is often not accounted for the constitutive modelling. A methodology based on Chaboche's isotropic‐kinematic hardening (CIKH) model with the consideration of genetic algorithm for optimization of initial estimates of the CIKH parameters is used in this study. The investigated plastic responses incorporate both symmetric strain‐controlled hysteresis loops and ratcheting behaviour. The suggested approach satisfactorily predicts the reported plastic response of cyclically stable non‐ferrous alloys based on aluminum, zirconium, and titanium.

show abstract

“…The cyclic loading is often not just uniaxial, which has been covered very well in the literature, 1,2 but multiaxial and, moreover, non-proportional. 3 The commercial software such as ANSYS or Abaqus supports some advanced plasticity models with limited potential for customization.…”

Section: Introductionmentioning

confidence: 99%

Automated calibration of advanced cyclic plasticity model parameters with sensitivity analysis for aluminium alloy 2024-T351

Peč

Zapletal

Hassan

et al. 2019

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The plasticity models in finite element codes are often not able to describe the cyclic plasticity phenomena satisfactorily. Developing a user-defined material model is a demanding process, challenging especially for industry. Open-source Code_Aster is a rapidly expanding and evolving software, capable of overcoming the above-mentioned problem with material model implementation. In this article, Chaboche-type material model with kinematic hardening evolution rules and non-proportional as well as strain memory effects was studied through the calibration of the aluminium alloy 2024-T351. The sensitivity analysis was performed prior to the model calibration to find out whether all the material model parameters were important. The utilization of built-in routines allows the calibration of material constants without the necessity to write the optimization scripts, which is time consuming. Obtaining the parameters using the built-in routines is therefore easier and allows using the advanced modelling for practical use. Three sets of material model parameters were obtained using the built-in routines and results were compared to experiments. Quality of the calibration was highlighted and drawbacks were described. Usage of material model implemented in Code_Aster provided good simulations in a relatively simple way through the use of an advanced cyclic plasticity model via built-in auxiliary functions.

show abstract

Uniaxial cyclic elasto-plastic deformation and fatigue failure of API-5L X65 steel under various loading conditions

Cited by 30 publications

References 51 publications

Simulation of stress-assisted localised corrosion using a cellular automaton finite element approach

Simulation of stress-assisted localised corrosion using a cellular automaton finite element approach

Prediction of asymmetric cyclic‐plastic behaviour for cyclically stable non‐ferrous materials

Automated calibration of advanced cyclic plasticity model parameters with sensitivity analysis for aluminium alloy 2024-T351

Contact Info

Product

Resources

About