Research Article  Open Access
Jianguo Wu, Shan Jiang, Wei Zhang, Zili Wang, "An Integral Formulation of TwoParameter Fatigue Crack Growth Model", Advances in Materials Science and Engineering, vol. 2018, Article ID 8707929, 12 pages, 2018. https://doi.org/10.1155/2018/8707929
An Integral Formulation of TwoParameter Fatigue Crack Growth Model
Abstract
A twoparameter fatigue crack growth algorithm in integral form is proposed, which can describe the continuous crack growth process over the time period. In this model, the fatigue crack propagation behavior is governed by the temporal cracktip state including the current applied load and the physical condition due to the previous load sequence. The plasticityinduced crack closure, left by the historical loading sequence, controls the following fatigue crack growth behavior and typically leads to the interaction effects. In the proposed method, a modified crack closure model deriving from the local plastic deformation is employed to account for this load memory effect. In general, this model can simulate the fatigue crack growth under variable amplitude loading. Additionally, this model is established on the physical state of crack tip in the small spatial and temporal scale, and it is used to evaluate the macroscopic crack propagation and fatigue life under irregular tensiontension loading. A special superimposed loading case is discussed to demonstrate the advantage of the proposed model, while the traditional twoparameter approach is not proper functional. Moreover, the typical various load spectra are also employed to validate the method. Good agreements are observed.
1. Introduction
Since the damage tolerance concept is of great significance to the engineering design, the prediction of fatigue crack growth life under the service environment becomes a prerequisite. Many fatiguecritical structures are usually subjected to variable amplitude (VA) loading condition. The fatigue analysis in this case has to encounter high nonlinear mechanisms of damage accumulation. An appropriate solution to the interaction effects in crack propagation process under VA loading is necessary and valuable.
Many references have focused to evaluate the interaction effects and further predict the fatigue crack growth under complex loading condition [1–4]. Wheeler and Willenborg et al. state that the yield zone size correlates with the fatigue crack growth rate [5, 6]. Afterwards, the forward and reverse plastic zone interaction is considered to be an essential characteristic of load sequence effects [7, 8]. Based on this hypothesis, Zhang et al. introduced a novel parameter, da/dS, to define the fatigue crack propagation rate with the stress variation at any moment of a cycle [7]. Furthermore, Zhang derived the relationship between da/dS and the traditional da/dN parameter that represented the fatigue crack growth rate per cycle. Lu and Liu proposed a small time scale fatigue crack growth model, in which the incremental crack growth kinetics was calculated [8]. Zhang and Liu stated that the cracktip opening displacement (CTOD) is the driving parameter of fatigue crack growth and developed a timebased formulation [9]. Nevertheless, the computation results in the internal of a cycle are discontinuous by using these aforementioned methods. The requirement of cycle counting before predicting the fatigue crack growth is inevitable, which leads to the fundamental incapacity to utilize the load sequence information. Sadananda and Vasudevan suggested that the fatigue crack propagation rate is determined by two parameters, the maximum stress intensity factor, K_{max}, and the stress intensity factor range, ΔK [10]. Therefore, this paper presents a novel integral formulation of twoparameter model to calculate the continuous fatigue crack propagation process without cycle counting. An equivalent physical state is proposed. It is assumed that the various physical states can be quantized by the several mechanism parameters. This hypothesis is beneficial to characterize the previous loading effects through the measurable physical function. Hence, the fatigue crack growth behavior is simultaneously determined by the current applied loads and the physical state ahead of the crack tip. In this investigation, the driving parameters are designated to be the current loading and the CTOD variation which is under the influence of the plasticinduced crack closure. Based on that, an integral twoparameter fatigue crack growth model is derived in the small spatial and temporal scale. The macroscopic crack propagation behavior under irregular tensiontension loading condition at arbitrary time can be estimated.
The paper is organized in four sections. Firstly, the model in integral form is proposed to calculate the fatigue crack growth rate. Next, the modified crack closure model is reviewed. Especially, the superimposed loading condition is discussed. In addition, Section 3 validates this model by comparison with the experimental data of aluminum alloy under VA loading. Finally, Section 4 summarizes and concludes this investigation.
2. Methodology
2.1. The Integral Fatigue Crack Growth Model
As it is shown in Figure 1, the fatigue crack growth model is derived in the small spatial and temporal scale, which can describe the continuous fatigue propagation process over the time period. For the tensiontension loading condition, it is proven that the crack growth only occurs during the loading process [11]. In the loading path, the crack remains closed initially until the applied stress increases beyond the crack closure level. “Δa” is the crack increment in one cycle. “ΔK_{eff}” represents the effective stress intensity range. “dt” is the arbitrary smallscale time within one cycle; “dK” is the corresponding stress intensity factor range. “da” is the crack increment in “dt,” which represents the transient crack growth. Therefore, the basic fatigue crack growth formulation can be written as an integrated formulation:where δa is the crack increment in arbitrary time period, K_{i} is the initial stress intensity factor, K_{f} is the final stress intensity factor, K_{op} is the stress intensity factor of crack closure level, and H is the Heaviside step function.
(a)
(b)
From the recent in situ SEM fatigue experiment observations [12, 13], it is revealed that the fatigue crack growth kinetics is highly correlated with CTOD variation under cyclic loadings. The CTOD variation is the fundamental for the fatigue crack growth prediction at any arbitrary time, which is the consequence of the elastic and plastic deformation around the crack tip. The CTOD variation, a function of the effective stress intensity factor range, is a quantity that has a definitude physical significance. Additionally, at present many investigations show that the crack growth is not only determined by the stress intensity factor range ΔK, but also by the maximum stress K_{max} [14, 15]. Therefore, the crack increment can be expressed as follows:where K is the current stress intensity factor, f(K, CTOD) is a function of the current stress intensity factor and the CTOD variation, and dCTOD is the derivative of CTOD variation. The CTOD variation can be expressed as follows [9]:where E is Young’s modulus and σ_{y} is the yield strength. The function f(K, ΔCTOD) is the differential form of the twoparameter model, which can be written as follows:where C is the material parameter and α and β are the fitting parameters. From (2–4), the fatigue crack increment can be obtained as follows:where C_{I} is equal to C/(Eσ_{y}), which depends on the material only. The crack increment “da” is substituted into (1), and the fatigue crack growth formulation can be rewritten as follows:
The general expression of fatigue crack growth can be expressed as follows:where “t” is the given time, a_{0} is the initial crack length, and a_{t} is the fatigue crack length at “t”. The power of effective stress intensity factor range (β in the integral model) is the fitting parameters. Many researches show that β = 2 is a reasonable fitting result for aluminum alloy [16, 17].
The proposed model can calculate the continuous crack propagation within one cycle, whereas the cyclebased model is nonfunctional in the internal of the cycle. The general cyclebased twoparameter method can be written as follows [15]:where da/dN is the crack increment per cycle and C_{T}, α_{T}, and β_{T} are the material parameters. Similarly, the power of stress intensity factor range (β_{T} in the twoparameter model) is 2.
The simplified loading cases are shown in Figure 2. Firstly, the constant amplitude (CA) loading condition is discussed. K_{1} is the intermediate stage in the loading process. The comparison between the integral model and the traditional twoparameter method is carried out. The crack increments in these two stages can be calculated, as shown in Table 1.
(a)
(b)
(c)

For both of these two models, if the load level directly increases from K_{op} to K_{max}, the crack growth rates during this cycle can be calculated as shown in Table 2.

Obviously, the equation δa_{I} + δa_{II} = δa_{CA} is satisfied by using the integral model, whereas that is untenable for the cyclebased method. It indicates that the crack increment during continuous loading process only depends on the initial and ultimate state, instead of the calculation path. Moreover, this can be extended to the superimposed loading conditions, as shown in Figures 2(b) and 2(c). For these two cases, the crack growth during these “complex cycles” should be equivalent to that under the small and large cycle. Taking the case (b) for example, δa_{AB} represents the crack increment when the applied stress level increases from A to B, and so on. For the integral model, the following equation can be established:
Especially, when K_{2} is infinitely approaching to K_{1}, the crack increment will approximate to that in the CA load cycle. It is manifested that the proposed model can handle the continuous crack growth prediction under the complex loads without cycle counting.
2.2. The Analytical Crack Closure Model
With the purpose of calculating the crack closure level, the analytical model is modified. Since the crack closure is caused by residual plastic deformation, the plastic state due to the preceding large cycles is traced to depict the interaction effect. The equivalent plastic zone concept is introduced, which can be expressed as follows:where D_{eq·i} is the equivalent plastic zone size in the ith cycle, d_{i} is the current plastic zone size in the ith cycle, and i is the current cycle number. Figure 3 shows the plastic state variation under arbitrary loading sequence case. In the upper plot, the crack length is “a” and highamplitude load is applied at “t_{1},” which gives rise to the large plastic zones. When the current load is applied at “t_{2},” the crack grows to “a” in distance. In the lower plot, the dashed ellipse is the current plastic zone that does not exceed the previous one. Hence, the remaining plastic state will persist to affect the fatigue crack growth at that moment.
In [12], an analytical crack closure model is developed and verified under CA loading. This model is modified in this paper, and the schematic illustration is shown in Figure 4. The plastic state after the unloading process is shown in the upper plot of Figure 4. There is a reverse plastic zone with d_{r} in diameter ahead of the crack tip “O.” The crack equably closes with length “b.” It is assumed that the crack “annealing” happens once it is fully closed. Therefore, the crack length can be perceived as a − b, and the reverse plastic zone diameter is D_{r}. The equation D_{r} = b + d_{r} can be established. In the next loading process, the closed part of crack gradually opens until completes. Eventually, the forward plastic zone is d_{f} in diameter. The aforementioned equation can be written as d_{f} = D_{r} − d_{r}.
The equivalent plastic zone is substituted, and the hardening is taken into account. Thus, the above equation can be rewritten as follows:where γ is the hardening factor that is related to material only and can be obtained by calibration, d_{m·eq} is the equivalent monotonic zone size, σ_{y} is the tensile yield strength, and σ_{min·eq} is the equivalent minimum stress level that is calculated based on the reverse plastic state. Solving this equation, the theoretical expression of σ_{op} can be achieved:where σ_{op} is the crack closure level.
3. Model Validation
3.1. Model Validation under Superimposed Loading Condition
The superimposed of highfrequency and lowfrequency load cycle condition is one of the most common service environments in many engineering projects. For example, the wing of an aircraft is always subjected to the slow cycle superimposed with faster loads which occurs in turbulent air prominently during the climb and descent period at low altitudes [18]. In order to verify the superiority of the proposed model, the fatigue testing data of Al 7075T6 under this condition is employed [9]. The yield strength of operational Al 7075T6 is σ_{y} = 520 MPa. The specimens used in this experiment are made of 40 mm wide and 4.7 mm thick, as shown in Figure 5. The initial crack length is 11.3 mm. Zhang and Liu provide the geometric factor algorithm of the stress intensity factor [9]:where in which is the width of specimen. Figure 6 shows the applicable loading conditions in detail. The lowfrequency baseline loading is CA load with the maximum tensile force P_{max} = 2000 N, R = 0.1. Five different specimens were used as the control group. The two highfrequency loads are 20% and 10% of the maximum load level, respectively. Three different specimens were used for each of these two superimposed loads.
(a)
(b)
(a)
(b)
(c)
(d)
(e)
There are several unknown parameters in the fatigue crack growth formulation (6) and (8). The da/dNΔK testing data under baseline loading are employed to identify these calibration parameters [9], as shown in Figure 7. The calibration curves of these two models are coincident. The results are C_{I} = 1.3469e − 10, α = 1.3268, and γ = 0.95 for the integral model, and C_{T} = 4.5832e − 11 and m_{T} = 3.3268 for the twoparameter method.
Taking the high ratio loading condition (Figure 6(e)) as an example, the comparison between the integral model and the twoparameter method is shown in Table 3.

The comparison between the proposed model and the traditional method is also shown in Figure 8. Under the baseline condition, the predicted aN curves of these two models coincide with each other. The reason is that the integral model is equivalent to the twoparameter method under constant amplitude loading. Nevertheless, in the superimposed loading cases, the predictions of the traditional approach are slower than the baseline results, which is inconsistent with the experiment observation. It is noted that the integral approach can give the better predictions. The proposed model is verified to be appropriate under the superimposed loading condition. It is clear that the interaction effects can be evaluated well.
It is natural that the cracktip damage occurs because of the current loading and the loading history and does not depend upon future loading, in the cyclecounting algorithm [19]. In these cases, as shown in Figure 6(e), when the applied load reaches to the point b, the large cycle cannot be identified without the future loading (point c). Hence, the traditional twoparameter approach is unable to calculate the fatigue crack growth under superimposed loading conditions, whereas the integral model is functional.
3.2. Model Validation under Variable Amplitude Loading
McMillan and Pelloux collected the fatigue testing data on the Al 2024T3 specimen with center through crack under complex VA loading [20]. The specimens geometry parameters are as follows: width = 229 mm, length = 610 mm, and thickness = 4.1 mm. Two types of spectrum are discussed in this section. Two kinds of the Al 2024T3 composition are used, and the materials mechanism properties are ultimate strength σ_{ult} = 473.3 MPa and yield strength σ_{y} = 327.9 MPa.
One set of da/dNΔK testing data under CA loading (R = 0.1) are employed to calibrate the fitting parameters, as shown in Figure 9 [21]. The calibration results are C_{I} = 6.6619e − 11, α = 1.3874, and γ = 0.9 for the integral model, and C_{T} = 2.1283e − 11 and m_{T} = 3.3874 for the twoparameter model. Good agreements are observed, which proved that the calibration results are available.
For the constant loading condition, the integral model is equivalent to the twoparameter method, so the predictions of these two approaches are the same. In this section, six types of VA loading condition are used to further validate the proposed model. These spectra and the corresponding prediction results are shown in Figure 10. Taking spectrum 1 as an example, the comparison between the integral model and the twoparameter method is shown in Table 4. For the variable loading case, the calculation results between these two models are obviously different. As it is shown in Figure 10, there is little difference between the first two spectra (spectrum 1 and 2). The reason might be that the crack closure level is stable and almost the same. Thus, the interaction effects under these two cases have no obvious difference, and the predicted aN curves approximately coincide with each other. It is indicated that the proposed model is able to depict the interaction effects well and give the better predictions than the twoparameter method. In general, the results of the proposed model can match the testing data better.
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4. Conclusions
In this paper, an integral fatigue crack growth model is proposed. Based on the current investigation, several conclusions can be drawn.
This approach is a general form of the traditional model. One advantage of the proposed model is that it can calculate the fatigue crack propagation under VA loading without cycle counting. Another advantage is that it can be used for fatigue analysis at arbitrary time periods and scales. In general, the model validation shows overall good agreements between the predictions and testing data under CA/VA loading cases. The interaction effects can be described well by considering the plasticityinduced crack closure. Furthermore, a typical loading condition is used to validate this model, which is the superimposed of the highfrequency small load cycles and lowfrequency baseline. In this case, the proposed model can calculate the continuous crack propagation, while the traditional twoparameter approach is not proper functional.
Nomenclature
δa:  Crack increment in arbitrary time period 
Δt:  Time of one cycle 
Δa:  Crack increment in one cycle 
a:  Crack length 
da:  Infinitesimal crack increment 
σ_{min}, σ_{max}:  Minimum and maximum stress in one loading cycle 
σ_{op}:  Stress level at which the crack begins to grow 
K_{max}, K_{min}:  Maximum/minimum stress intensity factor 
ΔK:  Stress intensity factor range 
K_{op}:  Stress intensity factor at which the crack begins to grow 
C_{I}, ress:  Material parameters in the integral model 
C_{T}, α_{T}, β_{T}:  Material parameters in the twoparameter model 
D_{eq}:  Equivalent plastic zone size 
D_{m}:  Monotonic plastic zone size 
d_{f}:  Forward plastic zone size 
d_{r}, D_{r}:  Reverse plastic zone size 
σ_{y}:  Material yield strength 
Y:  Geometry factor of the stress intensity factor. 
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (grant no. 51405009) and the Academic Excellence Foundation of BUAA for PhD Students.
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Copyright
Copyright © 2018 Jianguo Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.