Next Article in Journal
Particle Stimulated Nucleation Effect for Al-Mg-Zr-Sc Alloys with Ni Addition during Multidirectional Forging
Next Article in Special Issue
Evolutions of Microstructure and Impact Toughness of Submerged Arc Weld Metal via Introducing Varied Si for Weathering Bridge Steel
Previous Article in Journal
Effect of Tempering Time on Carbide Evolution and Mechanical Properties of a Nb-V-Ti Micro-Alloyed Steel
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel

1
State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China
2
Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China
3
CCCC Highway Consultants Co., Ltd., Beijing 100010, China
4
School of Civil Engineering, Hunan City University, Yiyang 413000, China
*
Authors to whom correspondence should be addressed.
Metals 2023, 13(8), 1496; https://doi.org/10.3390/met13081496
Submission received: 18 July 2023 / Revised: 10 August 2023 / Accepted: 17 August 2023 / Published: 21 August 2023
(This article belongs to the Special Issue Advances in Weathering Bridge Steels)

Abstract

:
The fatigue crack propagation behaviour of Q550E high-performance steel (HPS) is studied in this paper. Static tensile testing and fatigue crack propagation testing were carried out, and the results were compared with those of Q235. Finite element models were developed and verified against the experimental results. The impacts of the initial crack angle, crack depth ratio, stress ratio, thickness, and corrosion pitting on the fatigue crack propagation behaviour of the HPS were analysed. The results show that the fatigue life of Q550 was reduced by 18% due to the corrosion pitting, but it did not change the crack propagation path. When the stress intensity factor is higher than a certain value, the fatigue performance of Q235 is better than that of Q550E. The initial crack angle of 52.5° is the critical angle of the crack stress intensity factor. The steel tends to fracture as the crack depth ratio increases, and more attention should be paid to the effective crack length in engineering practice. An increasing stress ratio leads to a smaller stress intensity factor, and the thickness affects the stress intensity factor in the later stage. The crack stress intensity factor around the corrosion pits gradually decreases along the thickness direction, and the crack tips around the corrosion pits tend to reach the yield state initially, accelerating the fatigue fracture of the specimen and ultimately leading to a decrease in fatigue life.

1. Introduction

Bridge structures are developing in the direction of large span, high load, light weight, and environmental protection [1]. The performance of steel is also improving with the increasing demands of engineering construction, resulting in high-performance steel for bridges [2,3]. Compared to ordinary steel, high-performance steel (HPS) shows higher strength, higher fracture toughness, and better fatigue resistance [4,5,6,7]. As a result, HPS is widely used in various steel bridges [8], such as the sea-crossing bridge, Akashi Kaikyo Bridge.
Long-term stress fatigue often leads to structural fracture failure during the service life of steel bridges [9,10,11,12]. Zong et al. [13] conducted an experimental study on the fatigue crack growth rate of Q345qD bridge steel by changing its thicknesses and stress ratios. The results showed that the crack growth rate increased with the stress ratio, and the crack growth rate increased by 7–25%, but the influence of plate thickness change was not noticeable. Liu et al. [14] studied the relationship between the thickness and the stress state of the crack, quantified the thickness effect, and introduced the penetrating crack, but how the thickness affects the stress intensity factor of the crack tip was not clearly pointed out [15]. Li et al. [16] carried out a study on the influence of different surface crack directions on the change in stress intensity factor during bearing operation. Yaagoubi and Meier [17] studied the relationship between surface cracks with different angles and the J-integral, and they showed that the increase in friction effect in the case of oblique cracks weakened the J-integral at the crack tip. But there has been no in-depth study on penetrating cracks, which are more harmful to the structure; these will be studied in this paper for HPS steel. Although the effective initial crack in the process of crack propagation is very short, it is extremely destructive since there are some invisible initial cracks. Therefore, it is necessary to undertake in-depth study on the crack depth ratio. Meanwhile, most scholars have focused on the fatigue crack propagation behaviour of ordinary steel beams [18,19], and there have been insufficient investigations on fatigue crack failure of high-performance steel. Kang and Hong [20] studied the fatigue properties of HPS, and their results showed that the fatigue strength of Q690D HPS was significantly higher than existing specifications.
It is known that the joint action of a corrosive environment and repeated stress is one of the main reasons for the premature failure of most engineering metals, especially in marine environments [21,22]. This usually leads to the premature initiation of fatigue cracks on the surface of materials, resulting in reductions in fatigue life and resistance [23,24,25]. The research on the crack growth rate of different kinds of steels is extensive [26], but the driving factors affecting the crack growth rate of HPS are not well understood [27,28,29]. The effects of the initial crack angle, crack depth ratio, stress ratio, thickness, and corrosion pitting have not attracted enough attention, but they are very important for the fatigue safety of high-performance steel structures [30]. These limited investigations have led to fatigue safety problems in high-performance steel structures.
To investigate the behaviour of fatigue crack propagation, a finite element model of a CT specimen of Q550E HPS is established and verified against experimental results in this paper. The impacts of the initial crack angle, crack depth ratio, stress ratio, thickness, and corrosion pit on crack propagation are studied. This research provides a reliable and practical basis for the theoretical analysis of prefabricated cracks and an anti-fatigue design, which promotes the application of HPS in sea-crossing bridges.

2. Experimental Program

2.1. Specimen Design

Q550E with a thickness of 8 mm was used in the experiment, and Q235 specimens were also made for comparison. The chemical compositions of the steels are shown in Table 1. In order to obtain accurate material parameters of the tensile mechanical properties of the steel, uniaxial tensile tests were carried out before the fatigue crack propagation experiments, and the test results are shown in Table 2.
Three C(T) compact tensile samples for each kind of steel were designed for the fatigue test. The prefabricated notch length of the specimen was 8mm, and the toughness zone length w was 40 mm, as shown in Figure 1. A corrosion pit was prefabricated manually, and in accordance with the research of other scholars [31], the corrosion pit was a hemisphere with a radius of 2 mm, positioned 6mm away from the crack tip of the specimen. The experimental fixture had to be customized, and the specific dimensions are shown in Figure 2.

2.2. Fatigue Testing

Figure 3 shows the loading device for fatigue crack growth testing. Sine wave loading with a frequency of 10 Hz was used in the experiment, and the stress ratio was 0.1. A COD extensometer was placed at the notch to continuously record the opening displacement during the test, and an industrial camera with an electron microscope was used to observe the micro-crack propagation. The opening displacement of the specimen was measured by the COD extensometer, and the fatigue crack length was calculated using the formula of the flexibility method. In order to ensure that the crack tip was sharp enough and not affected by the initial notch shape of machining, a 1.5 mm crack was prefabricated via initial machine cutting. In general, the stress intensity factor K m a x selected for pre-cracking was higher than the value in the crack growth rate test. If there was no crack initiation after 30–50 thousand cycles, the K m a x was increased by 10%.

3. Experimental Results and Discussion

3.1. Fatigue Crack Growth Curve

Figure 4 shows the average test results regarding the fatigue crack growth rates of the intact Q550E and Q235. There is no obvious difference in crack growth rate between the two steel specimens in the early stage of crack growth, but the crack growth rate of Q550E is obviously higher than that of Q235 in the late stage of crack growth. The crack growth rate of the two steel specimens in the later stage is much higher than that in the earlier stage.
The influence of corrosion pitting on the crack growth curve based on average results is shown in Figure 5. The curves show three stages and two turning points. The two curves are close in the first stage. After the first turning point, the crack growth rate of Q550 is higher than that of Q235. After entering the third stage, the crack grows sharply, and the specimen fails. The crack propagation lengths of Q235 and Q550E at the first turning point were 11.21 mm and 16.08 mm, respectively. Compared with the curves for the intact specimens, the presence of turning points in these curves is due to the obvious stress concentration when the crack tip extends to the vicinity of the corrosion pit, which leads to a sudden increase in stress at the crack tip, thus accelerating the crack propagation. The crack propagation life of Q550E was reduced by about 18% from the intact sample to the corroded one. However, the corrosion pit had little influence on the crack propagation curve path, shown in Figure 6; the crack propagation path is along the direction perpendicular to the load line.

3.2. Fatigue Crack Growth Rate

The crack growth rate is obtained as the tangential slope of the polynomial fitting curve of crack length a and fatigue cycle number N, expressed as follows:
( d a / d N ) i = b 1 / C 2 + 2 b 2 ( N i C i ) / C 2 2
where d a / d N is the crack growth rate in mm; C i terms are the material parameters, such that C 1 = ( N i + 3 + N i 3 ) / 2 , C 2 = ( N i + 3 N i 3 ) / 2 , and index i indicates the test data point; α = a / W , and its value is greater than 0.2; and b 1 , b 2 are the regression parameters determined by the least squares method. The stress intensity range K is calculated by Equation (2). By taking the logarithm of the Paris formula, it can be expressed as Equation (3), and the values of parameters m and c can be obtained by linear fitting as listed in Table 3.
K = P B W 2 + α 1 α 3 / 2 0.886 + 4.64 α 13.32 α 2 + 14.72 α 3 5.6 α 4
l g d a d N = m l g K + l g ( C )
Figure 7 shows the crack growth rates of the two steels according to their average values, and an intersection point at a stress intensity factor amplitude of 24.04 M P a · m 1 / 2 can be observed. After this point, the crack growth rate of Q550E is slightly higher than that of Q235. As shown in this figure, the crack growth rates of the corroded specimens can be roughly divided into three stages in the logarithmic coordinate system, i.e., Stage I of initial crack growth, Stage II of the crack passing through the pit, and Stage III of stable crack growth. When the crack growth length reaches 12 mm, the crack reaches the edge of the corrosion pit, and the crack growth rate then suddenly changes and enters Stage II. When the crack length reaches 16mm, the crack propagation completely passes through the corrosion pit, and the crack propagation of the specimen reaches a stable stage. The fatigue crack propagation rate is linearly related to the stress intensity factor in the logarithmic coordinate system. The crack growth rate of Q550E in Zones I and II is significantly higher than that of Q235. Once the crack propagates through the corrosion pit, the crack propagation rate of Q550E is slightly higher.

4. Numerical Investigations

4.1. Finite Element Model

A finite element model was developed by using the commercial software ANSYS workbench. The specimen size, material parameters, and load of the finite element model were consistent with those of the crack propagation test. A tetrahedral mesh and Solid185 elements were adopted, and the overall mesh accuracy was set to 1.5 mm. For a more realistic simulation and considering the requirements of time and accuracy, an influence ball with a radius of 6 mm and a mesh precision of 0.4 mm was set at the crack tip for mesh refinement, as shown in Figure 8. Smart crack growth simulation was adopted in the mesh processing. This process is based on mesh division that simulates the features of fatigue or crack growth morphology in engineering structures, representing separation, deformation, adaptation, and re-division technology. To simulate static or dynamic fatigue crack growth in the solution process, the influence of the crack tip stress singularity on the crack growth rate can be effectively alleviated. Because the grid changes occur at the crack front, the stress state at the crack tip can be well represented in the process of crack propagation, and the high stress intensity factor at the crack tip caused by rough grid division can be avoided.
The X-axis in the FEM indicates the direction of crack propagation, and the Y-axis indicates the crack opening direction. The upper loading hole was divided into upper and lower sides and coupled to the centre for loading. The displacement in the X and Z directions and the rotation in the X and Y directions were fixed at 0. The lower loading hole was coupled with the force, where the displacement in the X, Y, and Z directions and the rotation in the X and Y directions were constrained. The process for developing the finite element model is shown in Figure 9.

4.2. Verification

The results of the finite element simulation were compared with the corresponding experimental values, as shown in Figure 10. The maximum errors of the intact Q550E and Q235 in terms of a–N curves in Figure 10a were 6.53% and 3.4%, respectively. The maximum errors of Q550E and Q235 with corrosion pitting were 9.17% and 8.94%, respectively. Due to the grid division of the crack tip, the error of the specimens with corrosion pitting is relatively high, but the overall error is small, which can truly reflect the crack propagation of CT specimens. Figure 10b shows the crack propagation path, and it can be seen that the experimental value is very close to the simulated value in terms of crack length and angle. Therefore, the developed finite element model was deemed reliable for further parameter analysis.

4.3. Parametric Analysis

4.3.1. Initial Crack Angle

To study the effect of the initial crack angle on the crack propagation, initial cracks at four angles of 0°, 30°, 45°, and 60° were prefabricated on the specimens in this study. The initial crack length was 1.5 mm with a 7 kN load level, thickness of 8 mm, and stress ratio of 0.1.
As shown in Figure 11, the trends of crack propagation at different angles were the same. The curves are very close to each other when the initial angles are in the range of 0°–45°, but they change significantly at 60°. Thus, there is a critical angle of crack propagation. An encrypted approximation at 45°–60° was carried out. It was found that the critical angle was 52.5°, where the crack growth rate suddenly changed. According to the K–N curve, with an increase in the initial crack propagation angle, the stress intensity factor caused by crack tip fracture decreases, and the reduction range is as high as 59%. Therefore, an initial crack angle of 0° is the most unfavourable for crack propagation. The initial crack angle has little effect on the K–a relationship.

4.3.2. Crack Depth Ratio

Figure 12 shows the crack growth life curves with six crack depth ratios for a thickness of 8 mm and a stress ratio of 0.1. The fatigue life decreased with increasing depth ratio. When the crack depth ratio was repeatedly increased by 0.05, the fatigue life decreased by 37%, 39%, 49%, 40%, and 54%. The relationship curve between the stress intensity factor and crack length was not affected by the crack depth ratio. The change in the stress ratio did not affect the cracking state under the same crack depth ratio, as shown in Figure 12c. The ratio of the cracking K to the stress ratio R was constant for different crack depth ratios, and the ratio became higher as the depth increased.
Figure 13 shows a stress diagram of crack propagation of the crack tip along the thickness direction with different crack depth ratios, where the horizontal direction represents the crack propagation length, the vertical direction represents the specimen thickness, and labels 1–2 represent the path of the crack tip along the thickness direction. In this case, the load was 7 kN, the stress ratio was 0.1, and the thickness was 8 mm. Regardless of the crack depth ratio, the maximum K mainly occurs in the middle position, and a crack initiates in the middle position in the thickness direction and gradually extends to both sides, eventually causing the entire surface to fracture. The K values increase with the crack depth ratio, which leads to a higher possibility of crack tip fracture. In engineering practice, the effective crack length. i.e., the sum of the notch depth and crack length, must be monitored to detect these hidden cracks.

4.3.3. Stress Ratio

Previous studies have shown that stress ratios of 0.1, 0.2, 0.3, and 0.5 can well demonstrate the effect of stress ratios on crack propagation [24]. For this reason, these stress ratios with a thickness of 10 mm and a load of 36 kN were used in the FEM to study the relationship between the crack propagation length, cycle times, and the K value.
As shown in Figure 14, whether the steel is corroded or not, the stress ratio is directly proportional to the crack length and inversely proportional to the stress intensity factor. The curves of corroded specimens fluctuated and experienced a sharp–slow–sharp growth process. This is because the effective length of the crack tip decreases when the crack propagation length is about to reach the corrosion pit. This leads to a sudden increase in crack tip stress and, in turn, to a sudden change in the crack propagation rate.

4.3.4. Thickness

According to ASTM E647-15, the thickness B of the CT specimen should be between W⁄20 and W⁄4. Considering the information in the related literature [24], steel samples with thicknesses of 5 mm, 8 mm, and 10 mm with a load of 7 kN and a stress ratio of 0.1 were used to study the effect of thickness on the crack propagation.
As shown in Figure 15, an increase in thickness leads to a downward curve shift in the Ka relationship, which shows that the thickness is inversely proportional to K. When the thickness was 10mm, the variation in K was the lowest, and the extreme difference occurred at 595.18 M P a · m m 1 / 2 . For the K–N curves, the stress intensity factors at the initial fracture of the crack tip for these thicknesses were 923.96 M P a · m m 1 / 2 , 589.01 M P a · m m 1 / 2 , and 482.32 M P a · m m 1 / 2 , respectively. Obviously, halving the thickness from 10 mm to 5 mm led to an increase in K. The numbers of cycles that began to develop rapidly when the thickness reached 8 mm and 10 mm were roughly 133,761 and 335,330, respectively. This indicates that a smaller stress intensity factor of crack tip fracture appears when the thickness is greater, and the critical value of rapid fracture cycles gradually increases, that is, the steel is less likely to fracture. In the a–N relationship, increasing the thickness resulted in a lower crack growth rate. For the same number of cycles, the extension length decreases as the thickness increases. Therefore, as the thickness increases, the K value of the crack tip at the stress concentration position reaches a maximum. Combined with the theoretical formula for K, the thickness affects K in the crack propagation area and significantly affects the crack growth rate. The stress intensity factor changes little in the early stage of crack propagation, but it changes obviously in the later stage.

4.3.5. Corrosion Pitting

Based on the research described above, a corrosion pit was prefabricated on the crack propagation line. Studies have shown that there are many forms of corrosion pit, such as conical, cylindrical, elliptical, and hemispherical, of which hemispherical corrosion pits are the most widely used [32]. Therefore, a hemispherical corrosion pit with a radius of 2 mm was prefabricated on the specimens based on the existing research [31]. The sine wave continuous load reduction method was adopted to prefabricate an initial 2 mm fatigue crack. The data of the first 2 mm of the initial crack are relatively discrete in the formal propagation process; thus, the centre of the pit was positioned 4 mm away from the crack tip of the specimen. The effects of various pit depths on the crack propagation were analysed for cases of 0.25 B, 0.5 B, and 0.75 B (relative to CT specimen thickness B, namely, 1:1, 2:1, and 3:1).
As shown in Figure 16, before the crack propagation length reaches 12 mm, the corrosion pits do not affect the fatigue life. Then, when the front line of the crack reaches the edge of the pit, the crack propagation rate begins to increase slowly. When the crack propagation length reaches 16 mm, that is, the crack passes through the bottom of the pit, the crack propagation rate increases significantly. Therefore, the corrosion pit has little effect on the crack propagation in the early stage of the corrosion pit (less than 12 mm), and the fatigue life of the specimen is obviously different when the crack passes through the corrosion pit. The maximum difference in fatigue life was 29,252 times when passing through the corrosion pit, accounting for 19% of the total life.
Since the crack growth rate for the case with a depth of 0.75 B was the fastest, the change in K along the crack propagation direction was further studied. As shown in Figure 17, stress fluctuation occurs when the crack propagates to the vicinity of the pit bottom because of the influence of stress singularity. However, the K value of the crack tip at the bottom of the corrosion pit is always significantly higher than the value at both ends. The crack propagation rate reaches its maximum when it propagates to the bottom of the pit. From the perspective of the whole crack tip section, when the crack tip extends to the left edge of the pit, the K of the crack tip near the pit edge is the highest. This is different from the distribution of K at the crack tip of the non-corroded specimen. This shows that the specimen with a corrosion pit is in a dangerous stress state under the action of fatigue load.
Figure 18 shows a diagram of the stress state of the crack tip at the end of crack propagation in the corrosion pit. It shows that the K value of the crack tip gradually decreases from the side with the corrosion pit (from 2 or 1 in Figure 17) to the other side, and the stress is still the highest near the pit. This indicates that the corrosion pit around the crack propagation surface will reach the yield state first, and a stronger stress field can be observed near the crack tip.

5. Conclusions

In this study, the fatigue crack propagation behaviour of Q550E high-performance steel was experimentally investigated. The fatigue crack growth performance of Q550 was compared with that of Q235. The effects of some factors, such as the initial crack angle, crack depth ratio, stress ratio, thickness, and corrosion pitting, on crack propagation were numerically studied. The main conclusions of this study are as follows:
  • The crack growth rate of Q550E is obviously higher than that of Q235 in the late stage of crack growth. The crack propagation life of Q550E is reduced by about 18% when corroded, as compared to intact specimens. The crack growth curve associated with corrosion pitting is divided into three stages, but it has little influence on the crack propagation path.
  • A higher crack depth ratio easily leads to a higher K value, which, in turn, affects the structural life. The critical angle in the initial crack propagation process is 52.5°, and K is significantly affected by the initial crack angle once this critical value is exceeded. When the initial crack angle is 0°, the crack tip stress is maximized, and fractures are most likely to occur. Otherwise, the crack initiation angle tends to expand perpendicular to the load direction.
  • The stress ratio is directly proportional to the crack length and inversely proportional to the stress intensity factor. The thickness has an obvious impact on the K value in the crack propagation area and significantly affects the crack growth rate.
  • The presence of a corrosion pit has little effect on crack propagation in the early stage of the corrosion pit, but the fatigue life of the specimen is obviously different when the crack passes through the corrosion pit. The corrosion pit around the crack propagation surface reaches the yield state first, and the K value around the corrosion pit gradually decreases along the thickness direction.
It should be noted that these findings are based on limited experimental and numerical results. The comprehensive influence of these parameters needs to be verified and quantified to further promote the application of Q550E in sea-crossing bridges. Therefore, more studies are required to develop a fatigue life model with consideration of these parameters for the guidance of HPS service performance evaluation in marine environments.

Author Contributions

Conceptualization, L.X. and H.L.; methodology, L.X.; software, H.L.; validation, H.L.; formal analysis, Y.Y.; investigation, Y.Y.; resources, Y.W.; data curation, Y.W.; writing—original draft preparation, L.X.; writing—review and editing, H.C.; visualization, H.L.; supervision, L.X.; project administration, H.C.; funding acquisition, L.X., Y.Y. and H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key R&D Program of China (grant number 2022YFB2602200, 2021YFE0105600), the National Natural Science Foundation of China (grant number 52208168, 52208166), the Natural Science Foundation of Jiangxi Province (grant number 20232BAB214079), the Open Fund of Hunan Province University Key Laboratory of Bridge Engineering (Changsha University of Science & Technology) (grant number 21KB04, the Open Project of State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure (East China Jiaotong University) (grant number HJGZ2022108), and the Science and Technology Innovation Program of Hunan Province (grant number 2022RC1186).

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank the anonymous reviewers and the editor for their valuable comments and remarks that helped us to improve the original manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yang, Y.; Liu, Z.; Tang, H.; Peng, J. Deflection-based failure probability analysis of low shrinkage-creep concrete structures in presence of non-stationary evolution of shrinkage and creep uncertainties. Constr. Build. Mater. 2023, 376, 131077. [Google Scholar] [CrossRef]
  2. Jia, Z.; Yang, Y.; He, Z.; Ma, H.; Ji, F. Mechanical test study on corroded marine high performance steel under cyclic loading. Appl. Ocean Res. 2019, 93, 101942. [Google Scholar] [CrossRef]
  3. Ban, H.; Shi, G. A review of research on high-strength steel structures. Proc. Inst. Civ. Eng.-Struct. Build. 2018, 171, 625–641. [Google Scholar] [CrossRef]
  4. Zhang, L.; Zhong, Y.; Zhao, O. Structural behaviour and design of press-braked S690 high strength steel angle section long columns. Thin-Walled Struct. 2023, 182, 110251. [Google Scholar] [CrossRef]
  5. Lai, Z.; Huang, Z.; Varma, A.H. Modeling of high-strength composite special moment frames (C-SMFs) for seismic analysis. J. Constr. Steel Res. 2017, 138, 526–537. [Google Scholar] [CrossRef]
  6. Studer, P.; Taras, A. Influence of strain-hardening on the load-carrying behaviour of bearing type bolted connections. J. Constr. Steel Res. 2022, 191, 107185. [Google Scholar] [CrossRef]
  7. Pook, L.P. A 50-year retrospective review of three-dimensional effects at cracks and sharp notches. Fatigue Fract. Eng. Mater. Struct. 2013, 36, 699–723. [Google Scholar] [CrossRef]
  8. Chen, D.; Qian, H.; Wang, H.; Wu, Y. Scheme exploration and performance analysis of 800-meter superlarge span structure. Adv. Civ. Eng. 2018, 2018, 5159218. [Google Scholar] [CrossRef]
  9. Kanno, R. Advances in steel materials for innovative and elegant steel structures in Japan—A review. Struct. Eng. Int. 2018, 26, 242–253. [Google Scholar] [CrossRef]
  10. Alshoaibi, A.M. Computational simulation of 3D fatigue crack growth under mixed-mode loading. Appl. Sci. 2021, 11, 5953. [Google Scholar] [CrossRef]
  11. Fiedler, M.; Vormwald, M. Correlations between crack initiation and crack propagation lives of notched specimens under constant and variable amplitude loading. Fatigue Fract. Eng. Mater. Struct. 2021, 44, 2871–2889. [Google Scholar] [CrossRef]
  12. Zhang, M.; Pang, J.; Meng, L.; Li, S.; Liu, Q.; Jiang, A.; Zhang, Z. Study on high-cycle fatigue fracture mechanism and strength prediction of RuT450. Mater. Sci. Eng. A 2021, 821, 141599. [Google Scholar] [CrossRef]
  13. Kamal, M.; Rahman, M. Advances in fatigue life modeling: A review. Renew. Sustain. Energy Rev. 2018, 82, 940–949. [Google Scholar] [CrossRef]
  14. Zong, L.; Shi, G.; Wang, Y. Experimental investigation on fatigue crack behavior of bridge steel Q345qD base metal and butt weld. Mater. Des. 2015, 66, 196–208. [Google Scholar] [CrossRef]
  15. Liu, H.; Yang, X.; Li, S.; Shi, D.; Qi, H. Modeling fatigue crack growth for a through thickness crack: An out-of-plane constraint-based approach considering thickness effect. Int. J. Mech. Sci. 2020, 178, 105625. [Google Scholar] [CrossRef]
  16. Huo, J.; Zhang, Z.; Meng, Z.; Xue, L.; Jia, G.; Chen, J. A time-integral crack propagation model considering thickness effect. IEEE Access 2019, 7, 41078–41089. [Google Scholar] [CrossRef]
  17. Li, B.; Jiang, C.; Noguchi, H.; Liu, L. Revealing the mechanism of critical root radius in notch fatigue limit based on crack closure concept. Int. J. Fatigue 2020, 130, 105261. [Google Scholar] [CrossRef]
  18. MYaagoubi, E.; Meier, J. Crack growth angle prediction of an internal crack under mixed mode load for unfilled elastomer using the strain energy density factor. Polym. Eng. Sci. 2021, 61, 2183–2192. [Google Scholar] [CrossRef]
  19. Li, Z.; Xu, J.; Demartino, C.; Zhang, K. Extremely—Low cycle fatigue fracture of Q235 steel at different stress triaxialities. J. Constr. Steel Res. 2020, 169, 106060. [Google Scholar] [CrossRef]
  20. Zhang, Y.; Fang, C.; Wang, W. Experimental and numerical study on cyclic behavior of corroded Q345 steel. J. Constr. Steel Res. 2022, 196, 107369. [Google Scholar] [CrossRef]
  21. Kang, L.; Hong, S.T. Experimental investigation on fatigue properties of Q690D high strength steel. J. South China Univ. Technol. Nat. Sci. Ed. 2021, 49, 35–43. (In Chinese) [Google Scholar]
  22. Olugbade, T.O.; Ojo, O.T.; Omiyale, B.O.; Olutomilola, E.O.; Olorunfemi, B.J. A review on the corrosion fatigue strength of surface-modified stainless steels. J. Braz. Soc. Mech. Sci. Eng. 2021, 43, 421–430. [Google Scholar] [CrossRef]
  23. Cheng, A.; Chen, N.-Z. An extended engineering critical assessment for corrosion fatigue of subsea pipeline steels. Eng. Fail. Anal. 2018, 84, 262–275. [Google Scholar] [CrossRef]
  24. Liao, X.; Wang, Y.; Feng, L.; Ban, H.; Chen, Y. Fatigue crack initiation and energy-based life analysis for Q345qD bridge steel at low temperatures. J. Constr. Steel Res. 2021, 180, 106571. [Google Scholar] [CrossRef]
  25. Li, Z.; Jiang, X.; Hopman, H. Surface crack growth in offshore metallic pipes under cyclic loads: A literature review. J. Mar. Sci. Eng. 2020, 8, 339–361. [Google Scholar] [CrossRef]
  26. Jiang, S.; Wang, Y. Study on fatigue behavior of orthotropic steel bridge deck that considers corrosion effects. J. Bridg. Eng. 2023, 28, 04022152. [Google Scholar] [CrossRef]
  27. Li, Y.; You, Y.; Lv, X. Comparative study on the crack growth behaviours of E690 steel and heat-affected zone microstructures under cathodic potential in artificial seawater based on mechano-electrochemical effect at crack tip. Corros. Sci. 2022, 198, 110103. [Google Scholar] [CrossRef]
  28. Jiang, C.; Xiong, W.; Cai, C.; Zhou, L.; Zhu, Y. Fatigue assessment of fillet weld in steel bridge towers considering corrosion effects. Eng. Fail. Anal. 2023, 143, 106901. [Google Scholar] [CrossRef]
  29. Wei, W.; Du, L.; Yang, G.; Zhang, Y.; Sun, Y.; Yang, X. Fatigue reliability evaluation of Q460 welded joints using fracture fatigue entropy method. Eng. Fract. Mech. 2021, 247, 107641. [Google Scholar] [CrossRef]
  30. Rusk, D.; Hoppe, W.; Braisted, W.; Powar, N. Fatigue life prediction of corrosion-damaged high-strength steel using an equivalent stress riser (ESR) model. Part II: Model development and results. Int. J. Fatigue 2009, 31, 1464–1475. [Google Scholar] [CrossRef]
  31. Chen, J.; Diao, B.; He, J.; Pang, S.; Guan, X. Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion. Int. J. Fatigue 2018, 110, 153–161. [Google Scholar] [CrossRef]
  32. Wang, W.; Zhou, A.; Fu, G.; Li, C.-Q.; Robert, D.; Mahmoodian, M. Evaluation of stress intensity factor for cast iron pipes with sharp corrosion pits. Eng. Fail. Anal. 2017, 81, 254–269. [Google Scholar] [CrossRef]
Figure 1. Dimensions of the specimen with a corrosion pit (unit: mm).
Figure 1. Dimensions of the specimen with a corrosion pit (unit: mm).
Metals 13 01496 g001
Figure 2. Dimensions of the fixture (unit: mm).
Figure 2. Dimensions of the fixture (unit: mm).
Metals 13 01496 g002
Figure 3. Loading device diagram.
Figure 3. Loading device diagram.
Metals 13 01496 g003
Figure 4. Fatigue crack growth curves of the intact steels.
Figure 4. Fatigue crack growth curves of the intact steels.
Metals 13 01496 g004
Figure 5. Fatigue crack growth curve of the corroded steels.
Figure 5. Fatigue crack growth curve of the corroded steels.
Metals 13 01496 g005
Figure 6. Crack propagation path: (a) Intact; (b) Corroded.
Figure 6. Crack propagation path: (a) Intact; (b) Corroded.
Metals 13 01496 g006
Figure 7. Comparison of crack growth rates: (a) Intact; (b) Corroded.
Figure 7. Comparison of crack growth rates: (a) Intact; (b) Corroded.
Metals 13 01496 g007
Figure 8. Finite element model.
Figure 8. Finite element model.
Metals 13 01496 g008
Figure 9. Flowchart for developing the FEM.
Figure 9. Flowchart for developing the FEM.
Metals 13 01496 g009
Figure 10. Comparison of experimental and numerical results: (a) a–N; (b) Crack propagation path of Q550E-1.
Figure 10. Comparison of experimental and numerical results: (a) a–N; (b) Crack propagation path of Q550E-1.
Metals 13 01496 g010
Figure 11. Influence of the critical angle: (a) a–N; (b) K–N; (c) K–a.
Figure 11. Influence of the critical angle: (a) a–N; (b) K–N; (c) K–a.
Metals 13 01496 g011
Figure 12. Influence of the crack depth ratio: (a) a–N; (b) K–a; (c) K–R.
Figure 12. Influence of the crack depth ratio: (a) a–N; (b) K–a; (c) K–R.
Metals 13 01496 g012
Figure 13. Stress diagram of crack propagation with different crack depth ratios of (A) 0.2, (B) 0.25, (C) 0.3, (D) 0.35, (E) 0.4, and (F) 0.45.
Figure 13. Stress diagram of crack propagation with different crack depth ratios of (A) 0.2, (B) 0.25, (C) 0.3, (D) 0.35, (E) 0.4, and (F) 0.45.
Metals 13 01496 g013
Figure 14. K–a curves of different stress ratios: (a) Intact; (b) Corroded.
Figure 14. K–a curves of different stress ratios: (a) Intact; (b) Corroded.
Metals 13 01496 g014
Figure 15. Crack propagation with different thicknesses: (a) K–a; (b) K–N; (c) a–N.
Figure 15. Crack propagation with different thicknesses: (a) K–a; (b) K–N; (c) a–N.
Metals 13 01496 g015
Figure 16. aN curves of different corrosion pit depths.
Figure 16. aN curves of different corrosion pit depths.
Metals 13 01496 g016
Figure 17. The stress state of the crack tip for the pit at a depth of 0.75 B.
Figure 17. The stress state of the crack tip for the pit at a depth of 0.75 B.
Metals 13 01496 g017
Figure 18. Cloud diagram of the stress state of the final crack tip for the 0.75 B depth pit.
Figure 18. Cloud diagram of the stress state of the final crack tip for the 0.75 B depth pit.
Metals 13 01496 g018
Table 1. Chemical compositions (%).
Table 1. Chemical compositions (%).
MaterialCSIMnaNbbVbTibAlsCrNiCuMoSP
Q550E0.120.551.2550.0240.050.0160.030.50.50.40.3--
Q2350.170.351.4--------0.0450.045
Table 2. Basic mechanical properties.
Table 2. Basic mechanical properties.
MaterialYield Strength (MPa)
Rp (0.2)
Ultimate Strength (MPa)
Rm
Modulus of Elasticity (GPa)
E
Q550E665.71720.43216.79
Q235293.91435.64213.22
Table 3. Parameter values.
Table 3. Parameter values.
MaterialsNo l g C m R 2 Mean Value
Q550E1#−9.083.610.98 l g C = −9.11, m = 3.6
2#−9.163.60.98
3#−9.093.580.99
Q2351#−10.474.590.98 l g C = −10.45, m = 4.57
2#−10.454.570.98
3#−10.434.570.97
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xiao, L.; Lin, H.; Wang, Y.; Yang, Y.; Chen, H. Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel. Metals 2023, 13, 1496. https://doi.org/10.3390/met13081496

AMA Style

Xiao L, Lin H, Wang Y, Yang Y, Chen H. Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel. Metals. 2023; 13(8):1496. https://doi.org/10.3390/met13081496

Chicago/Turabian Style

Xiao, Linfa, Heng Lin, Yongxiang Wang, Yiming Yang, and Huapeng Chen. 2023. "Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel" Metals 13, no. 8: 1496. https://doi.org/10.3390/met13081496

APA Style

Xiao, L., Lin, H., Wang, Y., Yang, Y., & Chen, H. (2023). Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel. Metals, 13(8), 1496. https://doi.org/10.3390/met13081496

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop