Abstract
Presence of cracks lead to structural steels failure below critical yield strength. The primary aim of the present article is to simplify and consolidate mathematical derivation of stress concentration, fracture stress, stress intensity factor, crack tip opening displacement and J-integral parameters from the first principle as well as application to fatigue. The review explains the mathematical derivation of fracture mechanics parameters from the theoretical concept, including alternatives to fatigue life prediction with strain-based approach method. The stress concentration around a notch can only be performed if the radius of the notch is far greater than zero and the stress field at sharp crack shows singularity when the crack tip radius is equal to zero. Furthermore, blunted crack tip violates stress singularity, while the crack tip opening displacement and J-integral parameters show the solution of a crack extending beyond zero crack tip radius, thus are used to characterize material stress fields with blunted crack tip. The review highlights benefit of characterizing fatigue crack growth with J-integral and crack tip opening displacement parameters over stress intensity factor. This paper would benefit majorly engineers and specialists in nuclear, aviation, oil and gas industries.
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1 Introduction
Fracture mechanics is a set of theories that describe behaviour of structures with geometrical discontinuities, which combine the study of mechanical properties and cracked bodies [1]. The first fracture mechanics theory relating to crack, which is premised upon energy balance was initiated by Griffith [2]. Griffith theory of fracture strength was rarely taken seriously until during and after the World War II, following the catastrophic failures of welded liberty ships, oil storage tanks, gas transmission lines, bridges and pressurized cabin planes [3]. The Griffith theory was later modified by Orowan [4] and Irwin [5] at different times to accommodate plastic flow materials and understand structures’ failure causes. Irwin [3, 6] further introduced the stress intensity factor and energy release rate to describe fracture behaviour under small scale yielding materials. Subsequently, crack tip opening displacement and J-integral theoretical models were introduced by Wells [7] and Rice [8] respectively to describe fracture behaviour under large scale yielding materials. Cracks have been known to initiate and propagate from geometrical discontinuities such as defects, cut-outs, edges and holes for structures under loading, but the propagation crack size and propagation rate are dependent on discontinuity shape and the type of applied load [9]. Crack presence in a steel has been widely acknowledged to reduce reliability of in-service components and structures [10, 11]. Thus, the crack under load leads to fatigue crack propagation, eventual reduction of structural reliability, and to failures [11, 12]. Fatigue has been a leading cause of gas turbine engine components of modern military aircrafts, thus increases maintenance cost of military aircrafts [13, 14]. Prediction of the fatigue crack growth under variable amplitude loading in aircrafts and engineering structures remains a big challenge owing to the loading sequence effect [15]. Integrity assessment of structures, pressure vessels, and piping systems in nuclear, oil and gas industries are necessary because any severe failure may lead to irreparable loss of monetary values and human life [16]. Consequently, the crack and fracture remained a problem for all man-made metallic components in fracture mechanics communities [16]. Therefore, clearer understanding and incorporation of fracture mechanics into design, prediction and integrity assessment approaches could reduce failure rates and maintenance of engineering materials.
The fracture behavior of materials is classified into brittle and ductile fractures. The brittle fracture occurs in materials that exhibit little or no plastic deformation and the fracture mechanism is transgranular because it occurs along well-defined crystallographic planes within each grain. But the ductile fracture occurs in materials that show high plastic deformation failure and the fracture mechanism is associated with void nucleation and growth that occurs along grain boundaries [17]. Most structural steels’ failures occur because of the presence of cracks that were either inherited during manufacturing, installation or in-service depending on design and condition of service. Cracks under critical loads are preceded with crack growth, reduction in structural strength and final failure of the materials depending on the critical fracture toughness of the structural steels [18]. Fracture mechanics was later categorized into linear elastic and elastic–plastic fracture mechanics based on the degree of plastic deformation at the tip of a crack. The study of fracture mechanics took a different dimension following the unprecedented structural failures after the World II, leading to several mathematical models to characterize and quantify fracture toughness [19]. Zhu and Joyce [20] gave a technical review of linear elastic and elastic–plastic fracture mechanics parameters. Historic development of fracture parameters was presented by Erdogan [21] and Cottrell [22]. Shinde and Dhamejani [23] provided a review of early investigations and advances in energy release rate, J-integral, and crack tip opening displacement. Elices et al. [24] reviewed advantages, challenges and limitations of cohesive zone modeling. The authors concluded that cohesive modeling showed good prediction of metallic, glassy, and composite’s notched samples. Kumar et al. [25] and Beden et al. [26] gave an overview of fatigue crack growth models by Walker, Brock, Priddle, McEvily, Foreman, Collipriest, Zheng, Wang and several others. The authors gave detailed contributions and improvements made by each model. The technical reviews presented until now are limited to only survey and have not considered mathematical derivation of the basic fracture parameters from first principle and fatigue applications. Therefore, the present article provides detailed and simplified derivation of fracture mechanics parameters and the theoretical evolution models from the first principle to improve and understand the derivations and subsequent analytical application to structural integrity management.
Section 2 of this paper present basic review of mathematical derivation of linear-elastic fracture mechanics parameters, namely stress concentration, fracture stress, and stress intensity factor. Detailed review of mathematical derivation of elastic–plastic fracture mechanics parameters such as crack tip opening displacement and J-integral were outline in Sect. 3 of the paper. While Sect. 4 of the paper presents comparative description, benefits and applications of fatigue growth based on small scale plasticity, large scale plasticity and local strain approaches.
2 Linear elastic fracture mechanics
Scientific knowledge of linear elastic fracture mechanics is based on the theory that energy dissipation is correlated to the fracture process and the deformation is linearly elastic. Analytically, the stress field at a crack tip is correlated to normal stress, orientation, crack size and shape of the crack [27]. The applications of linear elastic fracture mechanics are valid only if the plastic deformation at the crack tip remains insignificant to the geometry and crack lengths. Therefore, the applications are limited to brittle fracture materials by assuming linear elastic stress–strain behavior of materials. However, it may be applied to a structure with a large crack but when the crack length becomes comparable with one of the material geometries scales, linear elastic fracture mechanics becomes invalid and predicted strength becomes infinite when the crack length tends to zero [28]. The linear elastic fracture mechanics theoretical evolution models include stress concentration, fracture stress and stress intensity factor.
2.1 Stress concentration
Inglis [29] employed mathematical theory to extend Kirsch’s work by formulating theoretical stress field at the vicinity of a flat plate containing an elliptical hole under constant loading as shown in Fig. 1. The minor and principal axes are represented with 2b and 2a respectively to determine stress concentration. Thereafter, Neuber [30] developed theoretical model that allowed computation of maximum stress at the edge of elliptical hole in a flat plate under the same loading condition. But the stress distribution at the edge of the infinite plate with elliptical hole under biaxial loading was studied by Durelli and Murray [31].
Complex potential functions were employed and related to Airy stress function [32]:
Assuming a general stress function \(\Phi\) from any two analytical functions \(\psi\) and \(\chi\) could be stated as:
or
Note that conjugation function \(\overline{z} = x - iy\), and analytical function \(f\left( z \right) = \alpha + i\beta\) or \(x + iy\).
Substituting Eq. (5) into Eqs. (1, 2) gives:
The primes indicate differentiation with respect to \(z\) and the overbars indicate conjugate function. The component stresses are given as:
The coordinates of the elliptical hole may be written in the complex variable form as:
For elliptical hole analysis, the \(\beta\) varies from 0 to \(2\pi\) while \(\alpha\) never changes at \(\alpha_{o}\) in moving round the boundary of ellipse. Hence, the stresses are periodic in \(\beta ,\) with \(2\pi\) equaling the uniaxial stress components, \(\sigma_{yy} = \sigma , \sigma_{xx} = \tau_{xy} = 0\). But the elliptical boundary conditions may be satisfied by potential functions in the forms:
where the constants A, B, C, D and E are estimated from the given boundary conditions. The complex potentials after the boundary conditions are given as:
The sum of stress components \(\sigma_{\alpha }\) and \(\sigma_{\beta }\) at the edge of the elliptical hole at point A is expressed as:
Equation (15) employed the law of tangents which takes the form: \(\frac{a + b}{{a + b}} = \frac{{{\raise0.7ex\hbox{${\tan 1}$} \!\mathord{\left/ {\vphantom {{\tan 1} 2}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{$2$}}\left( {\alpha + \beta } \right)}}{{{\raise0.7ex\hbox{${\tan 1}$} \!\mathord{\left/ {\vphantom {{\tan 1} 2}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{$2$}}\left( {\alpha - \beta } \right)}}\).
The component stress \(\sigma_{\alpha } = 0\) at the edge of the hole \(\left( {\alpha = \alpha_{o} } \right)\), hence Eq. (15) is further reduced to:
The maximum component stress \(\left( {\sigma_{\beta } } \right)\alpha_{o}\) occurs when \( \beta = 0, \pi .\) Hence Eq. (16) is reduced to:
Stress concentration, \(k\) defined as \(k = \frac{{\sigma_{max} }}{{\sigma_{nom} }}\) is computed with Eq. (17). But for sharp cracks, where \(a \gg \rho\), Eq. (17) is further reduced to:
2.2 Fracture stress
According to Rossmanith [33], Karl Weighardt (1874–1924) was the first to solve exact solution of a real crack tip field problem under a single force at a crack face but realized that failure of a real crack problem cannot be solved with traditional failure criteria. Griffith [2] extended Inglis stress analysis by introducing crack in a material and investigating whether existing crack in a material would grow under loading and concluded fracture stress of the material was far lower than predicted theoretical strength in the presence of crack. The analysis considered a linear elastic material with crack length a and thickness B as shown in Fig. 2 by employing energy balance approach instead of crack tip stress directly.
Strained energy per unit volume of the material under stress is:
For a linear material, \(\sigma = E\varepsilon\). Therefore, strained energy per unit volume of the material under stress is:
Assuming the total external strained energy \(U\) released was strained energy per unit volume times the volume in both triangular regions as:
The elastic surface energy \(\gamma_{s}\) related to length of crack \(a\) is given as:
where \(\gamma =\) surface energy which has J/m2 as unit. Using the energy balance approach fracture criteria for an increase in crack area \(dA\) is:
or \(\frac{\partial W}{{\partial A}} - \frac{\partial U}{{\partial A}} = \frac{{\partial W_{s} }}{\partial A}\)
or \( - \frac{\partial \pi }{{\partial A}} = \frac{{\partial W_{s} }}{\partial A}\).
Equation (23) can further be written as:
where \(\pi =\) energy potential provided by the internal strained energy and forces, \(W =\) work done by external body, \(U =\) external strained energy in the body, \(A =\) area of the crack surface and \(W_{s} =\) work required to create new surface. Griffith finally formulated Eq. (26) using Inglis stress analysis by equating: − \(U = W_{s}\), if \(W = 0\) for potential energy of uncracked body:
Fracture stress, \(\sigma_{f}\) occur when Griffith Eq. (26) is satisfied.
2.3 Stress intensity factor
Westergaard [34] developed solution of a crack problem by considering a center crack in an infinite plate in a complex polar coordinate shown in Fig. 3.
Westergaard proposed the complex function of the form:
where \(F\left( z \right)\) is analytical stress function, \(\overline{\overline{z}}\) and \(\overline{z}\) are second and first integral of complex function \(\left( z \right)\). The function \(\overline{\overline{z}}, \overline{z}, z \) and \(z^{\prime}\) are defined as:
Applying the Cauchy–Riemann condition, and taking the first derivative of \(F\left( z \right)\) with respect to \(y\):
Using the Cauchy–Riemann relation, Eq. (28) is further reduced to
Differentiating Eq. (29) further and substituting into Eqs. (1–3), Airy stress function yield the following:
The Eq. (30) can be further compared with Eq. (31):
In the same vein, mode II is given as:
Muskhelishvili [35] denoted the complex variable \(z\) as in Eq. (33) and complex function \(z\left( z \right)\) as in Eq. (34):
Substituting either Eqs. (33) or (35–37) into (32) yield the following stresses in the center crack.
From Fig. 3, the following assumptions can be made if a chosen line lies close to one of the crack tips on the right-hand side.
Substituting Eqs. (39) into Eq. (38) yield stresses in the immediate vicinity of the crack tips as:
Irwin [6, 36] formulated theory of stress intensity factor using Westergaard solution approach as indicated in Fig. 4. Irwin showed stresses and displacements close to linear elastic material with a crack tip could be computed with a single governing parameter, called stress intensity factor. The theory showed elastic stress fields nearby a crack tip are presumably identical and the stress intensity factor \(\left( k \right)\) is proportional to the stress times the crack length square root \(\left( {k \propto \sigma \sqrt {\pi r} } \right).\) Therefore, for any given geometry and loading, the term \(\sqrt {\pi a}\) is a constant and can be replaced with constant \(k\). Stress fields around the tip of a crack were categorized into three deformation modes namely mode I (tensile), mode II (shearing) and mode III (tearing).
The asymptotic displacements and stress fields at the tip of a crack for material subjected to any of the three modes of crack propagation are given as:
For model \(I\) crack tip deformation, the stress fields are given as:
For plane strain, \(\sigma_{zz} = 0\) while plane stress, \(\sigma_{yy} = \mathop {\lim }\limits_{{\begin{array}{*{20}c} {r \to 0} \\ {\theta = 0} \\ \end{array} }} \frac{{k_{I} }}{{\sqrt {2\pi r} }}\).
For mode II,
Plane strain \(\sigma_{zz} = 0,\) for plane stress
For mode III,
Polar stress components can be expressed in terms of Cartesian stress components as given in Eq. (44):
Using Eq. (44), mode \(I \) and \(II\) equations can be represented in a polar coordinate form \(\sigma_{rr}\), \(\sigma_{\theta \theta }\) and \(\tau_{r\theta }\) as follow:
Mode I
\(\sigma_{zz} = v\left( {\sigma_{x} + \sigma_{y} } \right).\) For plane strain
\(\sigma_{zz} = 0\) and for plane stress,
Mode II
\(\sigma_{zz} = v\left( {\sigma_{r} + \sigma_{\theta } } \right).\) For plane strain, \(\sigma_{zz} = 0\) and for plane stress,
3 Elastic–plastic fracture mechanics
Elastic–plastic fracture mechanics evaluates stress fields of materials with blunted crack problems that have deformed plastically above the yield stress and exhibited plasticity leading to a plastic zone surrounding the crack tip. This is contrary to linear elastic fracture mechanics which only describes infinite stress at the sharp crack tip and limited to the solution of crack with zero crack tip radius [37]. The study of the plastic zone at the vicinity of the crack tip in hardened materials by McClintock and Irwin [38] and Rice [8] laid the foundation for two basic parameters, crack tip opening displacement (CTOD) and J-integral for characterizing fracture behavior of materials that undergo elastic plastic deformation.
3.1 Plastic zone model
Irwin [39] formulated the first and second order approximation of a plastic zone size ahead of crack for mode I as illustrated in Fig. 5 by assuming elastic plastic material.
From Eq. (41), the stress field along \( x\)-axis at \(\theta = 0\), yield:
For the first approximation, Irwin assumed a boundary between elastic and plastic behavior occurs when the stress \(\sigma_{yy}\) equal a yield strength \(\sigma_{ys}\).
By substituting Eq. (48) into (47), \(r\) which is the distance over which plastic deformation occur ahead of the crack tip equals:
Assuming the loads carried by elastic stress distribution is the same before and after plastic yielding:
Irwin’s conclusion implies that \(r + r_{\rho } = 2 r_{\rho }\) of the first approximation and that effective yield stress in plane strain is three times of that in plane stress, hence
Dugdale [40] originally proposed strip yield modelling of plastic zone size ahead of crack tip. However, Barenblatt [41] estimated the effect of plastic strip on stress distribution at the crack tip vicinity in mode I loading, using a strip yield model and then replaced the internal stress distributed on the plastic zone boundary (Fig. 6) with internal tensile stress.
Assuming the actual crack length 2a to be modeled as 2a + 2\( \rho\) (Fig. 6) and then established the equilibrium condition as:
The stress intensity factor of a crack with an internal tensile stress \(P\) (Fig. 6c) distributed across its length equals:
General solution for an eccentrical point force may be described by Green’s function as:
where \(k_{IA} =\) stress intensity factor for crack tip A, \(k_{IB} =\) stress intensity factor for crack tip B. With a uniformly applied internal pressure \(P\) acting as evenly distributed crack opening from the surface to the crack tip, \(k\) would be determined by integration of the crack.
The integration was carried out by a change of variable,\( x = a\cos\) which lead to:
Applying Dugdale crack to Eq. (58) and substituting \(a = a + \rho\), \(s = a\) for the integral and \(P = - \sigma_{ys}\) gives:
From Fig. 5b, stress intensity from tensile stress is given as:
Substituting Eqs. (59) and (60) into Eq. (54) yield:
Dugdale model was expressed to further reduce Eq. (61) using Taylor series:
Neglecting higher order terms and taking the first two terms for cosine gives the plastic zone size:
3.2 Crack tip opening displacement
Wells [7] tried to measure critical stress intensity values of some structural steels and discovered the steels exhibited higher degree of plastic deformation prior to fracture. Thus, crack face movement is proportional to fracture toughness as shown in Fig. 7. Wells concluded stress intensity factor parameter could not be used for blunted crack tip material and suggested crack opening displacement now known as crack tip opening displacement (CTOD) as measuring parameter for the fracture toughness.
McClintock and Irwin [38] showed computation of crack tip opening displacement in relation to crack face displacement from the first principle using Westergaard crack analysis. Using two complex functions \(\upphi\) and \(\uppsi\) to represent the displacement fields for plane elasticity in mode I:
where shear modulus \(\mu = E/2\left( {1 + v} \right)\) and the constant \(k\) is:
Equations (64) and (65) were simplified further with Westergaard approach by setting \(\uppsi ^{\prime } = - {\text{z}}\upphi ^{\prime } +\upphi +\) constant while the displacements fields are:
where \( z - a = re^{i\theta }\), hence \(\frac{1}{{\sqrt {z - a} }} = \frac{1}{{\sqrt {\left( r \right)} e^{ - i\theta /2} }} = 1/\sqrt r \left( {\cos \theta /2 - i\sin \theta /2} \right)\) and
Substituting Eqs. (69) and (70) into Eqs. (67) and (68) yield:
Similarly, for Mode \( II\), displacements fields are given as:
Simplifying Eqs. (73) and (74) further gives
Taking \(\theta = \mp \pi\) and substituting into Eq. (72) yield:
Setting \(r = r_{\rho }\), then substituting Eq. (50) and (66) into (78) yield:
Burdekin and Stone [42] further showed another method of computing crack tip opening displacement by adopting Dugdale plastic zone model approach (Fig. 6) and defining crack tip opening displacement at the end of the strip yield zone. From Eqs. (67) and (68) the vertical displacement is given as:
Westergaard function is given as:
Note that the stress function for pair of splitting forces \( P\) is given as:
By taking the integral of yield stress \(\sigma_{ys}\) along the crack surface between \(a\) and \(a_{1}\) and substituting \(P = - \sigma_{ys} dx\) into Eq. (84) result in:
Recall Eq. (61), \(\frac{a}{a + \rho } = \cos \left( {\frac{\pi \sigma }{{\sigma_{y} }}} \right) = \frac{a}{{a_{1} }} = k\) and substituting Eq. (61) into Eq. (85) and superimposing Eq. (83) yielding:
Integrating Eq. (86) further, gives:
where \(\omega_{1} = \cot^{ - 1} \sqrt {\frac{{1 - \left( {{\raise0.7ex\hbox{${a_{1}^{2} }$} \!\mathord{\left/ {\vphantom {{a_{1}^{2} } a}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{$a$}}} \right)^{2} }}{{{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {k^{2} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${k^{2} }$}} - 1}}}\) and \(\omega_{2} = \cot^{ - 1} \sqrt {\frac{{z^{2} - a_{1}^{2} }}{{1 - k^{2} }}}\).
On the crack plane, \(y = 0\), therefore Eq. (81) reduced to:
Substituting Eq. (87) into (88) gives:
\(|z| \le a_{1} , \) setting \( z = a\), further reduced Eq. (89) to:
Substituting \(k = \cos \frac{\pi \sigma }{{\sigma_{ys} }}\) into Eq. (90) gives:
By adopting a series expansion of the term “\({\text{lnsec}}\)” gives:
so, as \(\frac{\sigma }{{\sigma_{ys} }} \to 0\)
3.3 J-integral
Cherepanov [43] and Rice [8] introduced J-integral theoretical concept to characterize condition of crack tip in two-dimensional elastic plastic materials. The J-integral was formulated as path independent line integral around crack tip as shown in Fig. 8 and interpreted as rate of energy release.
where \(A\) is crack area and \(\pi\) is potential energy defined as:
where \({\text{U}} =\) external strained energy stored in the body and \(W\) is the work done by external force. For a load control:
where \({\text{P}}\) is applied load and \({\text{U}}^{*}\) is strained energy per unit volume defined as:
Hence, for a plate in load control,
where the crack advances at a fixed displacement, \({\text{W}} = 0\) and \(J\) is given by:
The potential energy \(\pi\) of two-dimensional body of area, \(A,\) with surface traction, \(T_{i}\) prescribed over a portion of the boundary surface, \(\Gamma\) given as:
Differentiating Eq. (101) with respect to crack length \(a\) yields:
Considering Fig. 8,
Substituting Eq. (103) into Eq. (102) yield:
where \(\frac{\partial W}{{\partial a}} = \frac{\partial W}{{\partial \varepsilon_{ij} }}\frac{{\partial \varepsilon_{ij} }}{\partial a} = \sigma_{ij} \frac{{\partial \varepsilon_{ij} }}{\partial a}\).
Applying principle of virtual work yield:
Application of divergence theorem yield:
Substituting Eqs. (105) and (106) into Eq. (104) gives:
4 Fracture mechanics application to fatigue
Fatigue is understood as a progressive failure in material components due to repeated stresses and strains variation while the fatigue life is the time it takes for the progressive failure to develop a through wall defect [44, 45]. But the fatigue crack propagation is defined by Correia et al. [46] as continuous crack initialization process that may lead to failure of representative elementary material. Several fatigue life prediction models have been developed for the computation of fatigue growth and remaining life of materials or structural components. The fatigue life prediction models are based on three methodologies namely stress-life, strain-life and fracture mechanics [47]. In fracture mechanics-based prediction models, the stress intensity factor parameter is more widely used in the fatigue life prediction than the CTOD and the J-integral [48]. Nonetheless, recent works relate fracture mechanics-based parameters with strain life prediction models.
4.1 Fatigue growth based in fracture mechanics
Paris [49] was the first to conceive the fatigue crack growth rate by idealizing stress intensity factor range. The mathematical relationship between crack growth per cycle \(\left( {da/dN} \right)\) and the stress intensity factor range \(\left( {\Delta k} \right)\) was formulated by Paris and Erdogan [50]:
where \(da =\) incremental crack length; \(dN =\) incremental number of cycles;\( C_{k} , m_{k} =\) Paris empirical parameters based on stress intensity factor that are determined from curve fit to test data. The applied stress intensity factor range (\(\Delta k\)) is defined as:
where \(k_{max}\) and \(k_{min}\) are maximum applied stress intensity factor and minimum applied stress intensity factor respectively.
A fatigue rate curve (Fig. 9) of the crack increment per load \(\left( {da/dN} \right)\) versus the stress intensity factor range (\(\Delta\)K) has three divisions, refers to region as \(I, II\) and \( III\). The fatigue rate curve (Fig. 9) and the Eq. (108) have several limitations such as application to only small-scale yielding, rate curve dependency on fitting parameters and stress ratio [51]. Other limitations of the Paris law include the inability to be applied to crack near threshold, near unstable crack propagation regimes, variable amplitude loadings and crack closure effect [52].
Elber [53] raised concern of crack closure existence on fatigue specimens during minimum tensile load and effect on the fatigue crack propagation. Crack closure reduces fatigue crack growth rate by decreasing effective stress intensity factor range. Elber [53, 54] proposed modification to Eq. (108) to account for effect of stress ratio and the crack closure effect on fatigue crack propagation by replacing the applied stress intensity factor range \(\left( {\Delta k} \right)\) with the effective applied stress intensity factor \(\left( {\Delta k_{eff} } \right)\) as:
Effective applied stress intensity factor range \(\left( {\Delta k_{eff} } \right)\) is defined as:
where \(k_{op} =\) crack opening stress intensity factor.
Walker [55] modified the Paris Eq. (108) by introducing a fatigue crack growth equation exponent, \(\gamma\) to account for effect of stress ratio, \(R\) on the fatigue crack propagation and equating \(R = 0\). The Walker’s model is given as:
The Walker model of Eq. (112) did not consider the near unstable crack propagation regime when the stress intensity factor approaches critical value. Therefore, Foreman [56] proposed a model by modifying Eq. (112) to describe the near unstable propagation in the region \(III\) of fatigue curve rate (Fig. 9). The Foreman model is represented as:
where \(k_{c} =\) critical fracture toughness of material.
Collipriest [57], Priddle [58] and McEvily [59] proposed crack growth models capable of describing all three regions \(\left( {I, II, III} \right)\) of the fatigue rate curve. The Collipriest, Priddle and McEvily models are given in Eqs. (114), (115) and (116) respectively:
where \(\Delta k_{th}\) = Propagation threshold. But Weertman [60] proposed fatigue crack growth that can describe region \(III\) of the fatigue rate curve. The Weertman proposed model is given as:
4.2 Fatigue crack propagation under large scale plasticity
Dowling [61, 62], Dowling and Begley [63] were the first to successfully correlate the fatigue crack growth rate with the J-integral fracture mechanics parameter through series of experimental data to account for large scale plasticity effect. The mathematical correlation between the fatigue crack growth rate and the J-integral range \(\left( {\Delta J} \right)\) is given as:
The \( J\)-integral range \(\left( {\Delta J} \right)\) is defined as:
where \( B =\) specimen thickness; \( b =\) uncracked ligament length; \(\eta =\) constant for deeply notched \(\left( { = 2} \right)\); \(dV =\) change in load displacement; \(C_{J} , m_{J} =\) Paris empirical parameters based on J-integral that are determined from curve fit to test data, \(V_{max}\) and \(V_{min}\) are maximum and minimum load line displacement respectively.
Analytical analysis by Tanaka [64] further suggested adoption of the \( J\)-integral parameter as criteria for the fatigue crack growth rate since cyclic \(J\)-integral for large scale is depended on loading process. Results of recent investigations for a fatigue crack propagation under a large scale plasticity with the elastic–plastic fracture mechanics parameter by Azmi et al. [65], Vormwald [66] and Kuai et al. [67] agreed with previous studies that the \(J\)-integral parameter could be used to characterize the fatigue crack growth rate. But, Laird and Smith [68] were the first to argue possible relationship between fatigue growth mechanisms and crack tip blunting following examination of some fracture surfaces of ductile metals under cyclic stresses. Kikukawa et al. [69], Newmann [70] and Tomkins [71] attempted to relate the crack tip opening displacement \(\left( {CTOD} \right)\) parameter with the fatigue crack growth rate from direct microscopic examination of fatigue crack growth mechanisms. Recent numerical studies by Antunes et al. [51] and Antunes et al. [72] on the fatigue crack growth rate correlation with the crack tip opening displacement range \(\left( {\Delta CTOD} \right)\) indicated increasing crack lengths with increasing \(\Delta CTOD\) and corresponding fatigue growths. Similarly, an experimental study by Vasco-Olmo [73] agreed with previous studies that the \(\Delta CTOD\) could replace the \(\Delta k\) in characterization of the fatigue crack propagation because the \(CTOD\) considers crack shielding and fatigue threshold. Tanaka et al. [74] correlated the crack tip opening displacement parameter with the fatigue crack growth rate through experimental investigation of crack opening behavior and fractoragraph. The mathematical correlation between the fatigue crack growth rate and the \(CTOD\) is given as:
where \(\Delta CTOD\) is represented in the form:
where \(C_{\delta } , m_{\delta } =\) Paris empirical parameters based on CTOD that are determined from curve fit to test data, \(\sigma_{\gamma s} =\) yield strength and \( q =\) material constant. The values of \( q\) is generally greater than 1 but equal to 1 when geometrical shapes of the crack tip opening are identical.
4.3 Fatigue growth based on local strain approach
According to Hafezi et al. [75], stress–strain fields at a crack tip vicinity can be calculated using a combination of elastic–plastic analysis and fatigue damage law to predict failure of elementary material representative with either the stress life or the strain–life approach (local strain based). The stress-life approach in fatigue life prediction of representative elementary material is usually used at the designed stage of structures and employed when nominal elastic stresses and strains are present. But the local strain-based approach is preferred if the elementary material is subjected to nominally cyclic elastic stresses and strains with stress concentration that may lead to local cyclic plasticity, thus it is used in fatigue life prediction of crack initiation on notched component of materials [47, 76]. The local strain-based approach considers stresses and strains at the crack tip and associated stress intensity factor to compute total fatigue life of both crack initiation and propagation [77, 78]. Several models have been proposed to replace the fatigue life prediction in the last 4 decades. Among the famous models were Coffin [79] and Manson [80] that proposed to replace the fracture mechanics-based fatigue crack growth model with the local strain-based approach. The Coffin–Manson [79, 80] model for computing a material failure relationship is given as:
where \(\Delta {\mathcal{E}} =\) strain range; \(\sigma_{f}^{I} =\) fatigue strength coefficient; \(\varepsilon_{f}^{I} =\) fatigue ductility coefficient; \(N_{f} =\) number of cycles required for representative material to fail; \(d =\) fatigue strength exponent and \(c =\) fatigue ductility exponent.
Morrow [81] proposed another local strain-based approach for computing fatigue life of a material by modifying Coffin–Manson’s Eq. (122) to account for mean stress, \(\sigma_{m}\) effect on fatigue life. The Morrow local strain-based model is given in the form:
Similar, the local strain-based model for fatigue damage parameter was proposed by Smith–Watson–Topper [82] to account for maximum stress and stress ratio effect. The Smith–Watson–Topper [82] model is represented in the form:
Noroozi et al. [83,84,85] recently derived a mathematical relationship between the fracture fatigue crack growth and the local strain-based approach for fatigue growth prediction. The Noroozi et al. [84, 85] model suggested using strain-life approach with either Smith–Watson–Topper’s Eq. (124) or Morrow’s Eq. (123) and considers the residual stress and the stress ratio effect on fatigue life prediction. The model is developed to compute the elastoplastic stresses and strains at the elementary material blocks ahead of the crack tip (Fig. 10) and represented in the form:
where \(\rho^{*} =\) elementary material block size while the \(\frac{da }{{dN}} \) is defined as follow:
where \(k_{max,tot} =\) maximum total stress intensity factor; \(\Delta k_{tot} =\) total stress intensity factor range. The \(k_{max,tot} \) and \(\Delta k_{tot}\) are defined further in Eq. (127) and (128) respectively:
where \(k_{r} =\) residual stress intensity factor.
Huffman [86] recently derived another mathematical relation between the fatigue crack growth and the local strain approach using strain energy densities from applied loads and the strain energy of dislocations to compute the strain-life, stress-life and fatigue crack growth rate. Huffman [86] fatigue crack growth rate based on a strain energy density model is given in the form:
where \(U_{d} =\) dislocation strain energy; \( \rho_{c} =\) critical dislocation density; \(K^{I} =\) cyclic strength coefficient; \(n^{I} =\) cyclic strain hardening exponent, \(\sigma_{a} =\) = applied stress; \(\Delta a =\) crack length range.
4.4 Probabilistic models of local strain approach
The local strain-based fatigue life prediction models by Coffin–Manson and Smith–Watson–Topper (SWT) are deterministic methods [46]. Thus, Castillo and Fernández-Canteli [87] proposed probabilistic fatigue life models for stress and strain-based fatigue damage using Weibull distribution. Castillo and Fernandez-Canteli [87] formulated probabilistic strain life \(\left( {{\mathbb{P}} - \varepsilon_{a} - N} \right)\) model by assuming that the fatigue life and total strain amplitude are random variables, represented as:
where \({\mathbb{P}} =\) probability of failure; \(N_{o}\) and \(\varepsilon_{ao} =\) normalilizing values; \(\lambda , \delta\) and \(\beta =\) non-dimensional Weibull model parameters. Their physical meanings shown in Fig. 11 are defined as:
\(N_{o} =\) threshold value of lifetime; \(\varepsilon_{ao} =\) endurance limit of \(\varepsilon_{a}\); \(\lambda =\) parameter defining the position of the corresponding zero-percentile curve; \(\delta =\) scale parameter and \(\beta =\) shape parameter. The probability depends solely on the product of \(N_{f}^{*} \varepsilon_{a}^{*}\), defined as \(N_{f}^{*} =\) dimensionless life \(\left( { = \log \left( {N_{f} /N_{o} } \right)} \right)\) and \(\varepsilon_{a}^{*} =\) dimensionless strain amplitude \(\left( { = \log \left( {\varepsilon_{a} /\varepsilon_{ao} } \right)} \right)\). Thus,
Furthermore, strain life and Smith–Watson–Topper (SWT) deterministic models have shown identical characteristics in fatigue damage analysis [46, 88]. Therefore, probabilistic fatigue life model of \({\mathbb{P}} - \varepsilon_{a} - N\) field developed by Castillo and Fernández-Cansteli [87] had been extended to develop probabilistic Smith–Watson–Topper life \(\left( {{\mathbb{P}} - SWT - N} \right)\) model, and is given as:
where \(SWT_{o} =\) normalilizing value, but \(SWT_{o} =\) fatigue limit of \(SWT\) for physical meaning parameter. The physical meaning parameters of Eq. (132) parameters are shown in Fig. 12. Similarly, the probability depends solely on the product of \(N_{f}^{*} SWT^{*}\) and \(SWT^{*} =\) damage parameter \(\left( { = \log \left( {SWT/SWT_{o} } \right)} \right).\) Thus,
5 Conclusions
This paper presents a review of mathematical derivation of stress concentration, fracture stress, stress intensity factor, crack tip opening displacement and J-integral from the first principle. The linear elastic parameter shows the stress field tends to zero as the tip of crack approaches zero, thus it is only applicable to brittle materials. But the elastic plastic parameters show the stress field solutions are not equal to zero at both the blunted and sharp crack tips, thus applicable to ductile materials. The paper considers further the fatigue life correlation with J-integral, crack tip opening displacement and local strain-based approach methods. The prediction of fatigue crack growth rate with the J-integral and the crack tip opening displacement parameters considers the plasticity, crack shielding and fatigue threshold effect. On the other hand, the fatigue life prediction of crack initiation and propagation of notched specimens with the local strain-based approach considers maximum stress and residual stress intensity factor, thus has several benefits over the fatigue life prediction with conventional stress intensity factor.
Abbreviations
- \(\Delta {\text{k}}\) :
-
Applied stress intensity factor
- \(\Gamma\) :
-
Close path
- \({\text{dv}}\) :
-
Change in load displacement
- \(n\) :
-
Constant for deeply notched specimen
- \( \psi , \chi \) :
-
Complex analytical function
- \(\overline{z}\) :
-
Conjugate function
- \(a\) :
-
Crack length
- \(\Delta a\) :
-
Change in crack length
- \(k_{op}\) :
-
Crack opening stress factor
- \(\Delta CTOD\) :
-
Crack tip opening displacement
- \(k_{c}\) :
-
Critical fracture toughness of material
- \(\rho_{c}\) :
-
Critical dislocation density
- \(r\) :
-
Crack tip radius
- \(k^{I}\) :
-
Cyclic strength coefficient
- \(n^{I}\) :
-
Cyclic strain hardening exponent
- \(\rho\) :
-
Density
- \(U_{d}\) :
-
Dislocation strain energy
- \(u_{x, y}\) :
-
Displacement field in X and Y direction
- \(u_{i}\) :
-
Displacement vector
- \(ds\) :
-
Displacement along contour
- \(\Delta {\text{k}}_{eff}\) :
-
Effective stress intensity factor range
- \(\gamma_{s}\) :
-
Elastic surface energy
- \(\rho^{*}\) :
-
Elementary material block size
- \(\alpha\) :
-
Ellipse coordinate lines
- \(G \) :
-
Energy release rate
- \(da/dN\) :
-
Fatigue crack growth rate
- \(\varepsilon_{f}^{I}\) :
-
Fatigue ductility coefficient
- \(c\) :
-
Fatigue ductility exponent
- \(\sigma_{f}^{I}\) :
-
Fatigue strength coefficient
- \(d\) :
-
Fatigue strength exponent
- \(\Phi\) :
-
General stress function
- \(\beta\) :
-
Hyperbola coordinate lines
- \(da\) :
-
Incremental crack length
- \(dN\) :
-
Incremental number of stress cycle
- \(\left( z \right)\) :
-
Integral of complex function
- \(da\) :
-
Incremental crack length
- \(\Delta J\) :
-
J-integral range
- \(R\) :
-
Stress ratio
- \(V_{max}\) :
-
Maximum load line displacement
- \(\sigma_{max}\) :
-
Maximum stress
- \(k_{max}\) :
-
Maximum stress intensity factor range
- \(\sigma_{m}\) :
-
Mean stress
- \(k_{max, tot}\) :
-
Maximum total stress intensity factor range
- \(k_{min}\) :
-
Minimum stress intensity factor range
- \(V_{min}\) :
-
Minimum load line displacement
- \(N_{f}\) :
-
Number of cycles required for representative material
- \(C_{k} ,m_{k} \) :
-
Paris empirical parameters based on stress intensity factors test data
- \(C_{\delta } ,m_{\delta } \) :
-
Paris empirical parameters based on CTOD test data
- \(C_{J} ,m_{J} \) :
-
Paris empirical parameters based on J-integral test data
- \(n_{k}\) :
-
Path surrounding crack tip
- \(r_{\rho }\) :
-
Plastic zone size
- \(\pi\) :
-
Potential energy
- \(B\) :
-
Specimen thickness
- \(k_{r}\) :
-
Residual stress intensity factor
- \(\varepsilon\) :
-
Strain
- \(U^{*}\) :
-
Strained energy per unit volume
- \({\text{U}}\) :
-
External strained energy in the body
- \({\text{W}}\) :
-
Work done by external body
- \(\Delta \varepsilon\) :
-
Strain range
- \(\varepsilon_{ij}\) :
-
Strain tensor
- \(\sigma_{r, \theta , z}\) :
-
Stress components in polar coordinate
- \(\sigma_{xx, yy, zz}\) :
-
Stress components in cartesian coordinate
- \(k\) :
-
Stress concentration
- \(\sigma\) :
-
Stress
- \(k_{1}\) :
-
Stress intensity factor
- \(k_{th}\) :
-
Stress intensity factor threshold
- \(R\) :
-
Stress ratio
- \(\Delta k_{ tot}\) :
-
Total stress intensity factor
- \(T_{i}\) :
-
Traction Vector
- \(n_{j}\) :
-
Unit normal vector
- \(b\) :
-
Uncracked ligament length
- \(W_{s}\) :
-
Work required creating new surface
- \(E\) :
-
Young modulus
- \(\sigma_{ys}\) :
-
Yield strength
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Ameh, E.S. Consolidated derivation of fracture mechanics parameters and fatigue theoretical evolution models: basic review. SN Appl. Sci. 2, 1800 (2020). https://doi.org/10.1007/s42452-020-03563-8
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DOI: https://doi.org/10.1007/s42452-020-03563-8