Continuum damage mechanics-based corrosion-fatigue analysis of high-strength steel wires

2021 ◽  
pp. 1854-1861
Author(s):  
Chuanjie Cui ◽  
Rujin Ma ◽  
Airong Chen
Keyword(s):  
Corrosion Fatigue ◽  
High Strength Steel ◽  
Damage Mechanics ◽  
High Strength ◽  
Continuum Damage Mechanics ◽  
Fatigue Analysis ◽  
Continuum Damage ◽  
Steel Wires

Parameter Calibration for Continuum Damage Mechanics Models to Simulate Ductile Fracture of High Strength Pipeline Steels

2019 ◽  
Author(s):  
Filip Van den Abeele
Keyword(s):  
Crack Propagation ◽  
Ductile Fracture ◽  
Damage Mechanics ◽  
Void Nucleation ◽  
High Strength ◽  
Continuum Damage Mechanics ◽  
Continuum Damage ◽  
Pipeline Steels ◽  
Gtn Model ◽  
Input Parameters

Abstract The ability to arrest a running crack is one of the key features in the safe design of pipeline systems. In the industry design codes, the crack arrest properties of a pipeline should meet two requirements: crack propagation has to occur in a ductile fashion, and enough energy should be dissipated during propagation. While the first criterion is assessed by the Battelle Drop Weight Tear Test (BDWTT) at low temperatures, the latter requirement is converted into a lower bound for the impact energy absorbed during a Charpy V-notch (CVN) impact test. However, the introduction of high strength pipelines steels (X70 and beyond) has revealed that the commonly used relations based on BDWTT and CVN no longer hold. For such scenarios, Continuum Damage Mechanics (CDM) models provide promising potential to obtain a more profound understanding of the mechanisms that govern ductile crack propagation in high strength pipeline steels. In recent years, different types of CDM models have been used to simulate ductile fracture of pipeline steels. This paper focuses on two of these models, i.e. the Gurson-Tvergaard-Needleman (GTN) model and the Modified Bai-Wierzbicki (MBW) model. The GTN model is based on the computation of void growth according to Rice and Tracey, and account for the local softening of the material due to void nucleation, growth and subsequent coalescence. The MBW model is a fully coupled damage model, where the yield surface depends on both the stress triaxiality and the Lode angle. Although both models can predict ductile fracture propagation, their widespread application in pipeline design is hampered by the large number of input parameters to be calibrated. The GTN model requires 10 input parameters, i.e. 3 Tvergaard damage parameters, 4 porosity parameters and 3 parameters to describe void nucleation. Whereas the Modified Mohr-Coulomb model originally proposed by Bai and Wierzbicki uses merely 2 parameters, the extended MBW model requires no less than 18 parameters to be calibrated: 11 plasticity parameters (5 stress + 3 strain rate + 3 temperature) and 7 damage parameters (4 initiation + 1 propagation + 2 failure). In this paper, different numerical/experimental strategies to calibrate these parameter sets are reviewed and compared. Sensitivity analyses are performed to assess the influence of the different input parameters on the model predictions. For both GTN and MBW models, the robustness and uniqueness of the calibrated parameter sets is investigated. Recommendations on optimum parameter values are derived, with special emphasis on high strength pipeline steels.

scholarly journals Correction: Xue, S.; Shen, R. Corrosion-Fatigue Analysis of High-Strength Steel Wire by Experiment and the Numerical Simulation. Metals 2020, 10, 734

Metals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 910
Author(s):  
Songling Xue ◽  
Ruili Shen
Keyword(s):  
Numerical Simulation ◽  
Corrosion Fatigue ◽  
High Strength Steel ◽  
Steel Wire ◽  
High Strength ◽  
Fatigue Analysis

The authors wish to make the following corrections to this paper [...]

scholarly journals Research on Corrosion Fatigue Performance and Multiple Fatigue Sources Fracture Process of Corroded Steel Wires

2019 ◽  
Vol 2019 ◽  
pp. 1-24 ◽  
Author(s):  
Ying Wang ◽  
Yuqian Zheng
Keyword(s):  
Corrosion Fatigue ◽  
High Strength Steel ◽  
Damage Evolution ◽  
Fracture Process ◽  
Steel Wire ◽  
High Strength ◽  
Evolution Process ◽  
Steel Wires ◽  
Corrosion Pit ◽  
Corrosion Pits

Corrosion fatigue (CF) failure is one of the typical failure modes of high-strength steel wires for bridge cables because the cables are subjected to long-term fatigue loads and exposed to heavily polluted environment simultaneously. In this paper, a numerical simulation method was proposed to study CF performance of corroded high-strength steel wires. Firstly, the cellular automata (CA) method was used to generate a numerical model of corroded steel wires with corrosion pit, which can accurately describe the electrochemical process of metal corrosion. In the established CA model, three kinds of cells were involved, namely, metal cell, passive film cell, and corrosive medium cell. By setting 10 cellular transformation rules, morphology of the random corrosion pit on the steel wire surface was simulated. And then, a damage evolution model related to coupling of corrosivemedium and fatigue loads (CCF) was developed to describe the CF damage evolution process of steel wires. Subsequently, the damage evolution process was analyzed by ABAQUS with a user-defined material subroutine (UMAT). Finally, the life of corroded steel wires was predicted, and the CF performance of corroded steel wires with multiple corrosion pits was evaluated. The results show that the proposed method can reasonably describe the CF damage evolution process and illuminate the failure mechanism of steel wires subjected to the CCF. Damage of the steel wire with a single corrosion pit evolves gradually, and the damage evolution rate increases. For the steel wires with multiple corrosion pits, the corrosion pits affect mutually in the fracture process. When the angle and distance between corrosion pits reach a certain degree, the mutual effects can be ignored. With the same pit depth, the angle and distance among corrosion pits determine the CF life of steel wires mainly, and the number of corrosion pits affects slightly.

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