“…Furthermore, equation (5) also predicts that this relationship should hold regardless of the material or the nature of the spectra. The accuracy of this prediction 11 is illustrated in both [27,28] and is shown in Figure 11, see [28] for more details.…”
Section: A Master Curve Representation For Crack Growth In Operationamentioning
confidence: 95%
“…It was subsequently also shown to hold for cracks growing in both operational aircraft and in full scale fatigue tests under representative operational load spectra [36], see Figure 11. Nevertheless, as shown in [27,28], this approach predicts that, for tests on centre cracked panels and surface and edge cracks under repeated block loading, for the majority of the fatigue life we should see a near linear relationship between the number of load blocks and the log of the crack length. Furthermore, equation (5) also predicts that this relationship should hold regardless of the material or the nature of the spectra.…”
Section: A Master Curve Representation For Crack Growth In Operationamentioning
confidence: 96%
“…to a steel bridge, then it is essential that, in these tests, the cracks are first allowed to developed naturally and then patched/repaired. One means of achieving this is to grow cracks from small etch pits [28], another way is to use lasers to create small near micron size initial notches [29,30].…”
Section: Experimental Test and Analysis Requirements For Cfrp Repairsmentioning
confidence: 99%
“…The physical reason for this 7 formulation is that, as explained in [49,50], the growth of cracks that initiate from small naturally occurring material discontinuities behave, as explained by 4 Nevertheless limited crack growth was observed in operational aircraft. 5 Here it should be noted that it is now know that for a range of materials tested under a range of operational load spectra the growth of cracks that initiate and grow from small naturally occurring material discontinuities can be accurately computed using the R ratio independent da/dN versus ΔK small crack relationship and setting closure effects to zero [27,28,[34][35][36][37]. 6 This is also referred to as exponential crack growth.…”
“…Furthermore, equation (5) also predicts that this relationship should hold regardless of the material or the nature of the spectra. The accuracy of this prediction 11 is illustrated in both [27,28] and is shown in Figure 11, see [28] for more details.…”
Section: A Master Curve Representation For Crack Growth In Operationamentioning
confidence: 95%
“…It was subsequently also shown to hold for cracks growing in both operational aircraft and in full scale fatigue tests under representative operational load spectra [36], see Figure 11. Nevertheless, as shown in [27,28], this approach predicts that, for tests on centre cracked panels and surface and edge cracks under repeated block loading, for the majority of the fatigue life we should see a near linear relationship between the number of load blocks and the log of the crack length. Furthermore, equation (5) also predicts that this relationship should hold regardless of the material or the nature of the spectra.…”
Section: A Master Curve Representation For Crack Growth In Operationamentioning
confidence: 96%
“…to a steel bridge, then it is essential that, in these tests, the cracks are first allowed to developed naturally and then patched/repaired. One means of achieving this is to grow cracks from small etch pits [28], another way is to use lasers to create small near micron size initial notches [29,30].…”
Section: Experimental Test and Analysis Requirements For Cfrp Repairsmentioning
confidence: 99%
“…The physical reason for this 7 formulation is that, as explained in [49,50], the growth of cracks that initiate from small naturally occurring material discontinuities behave, as explained by 4 Nevertheless limited crack growth was observed in operational aircraft. 5 Here it should be noted that it is now know that for a range of materials tested under a range of operational load spectra the growth of cracks that initiate and grow from small naturally occurring material discontinuities can be accurately computed using the R ratio independent da/dN versus ΔK small crack relationship and setting closure effects to zero [27,28,[34][35][36][37]. 6 This is also referred to as exponential crack growth.…”
“…The Hartman-Schijve equation used in [1,8,11,20,24,25,32,36,[39][40][41][42][43][44] is basically an empirical equation that for metals takes the form:…”
High duty engineering component life is usually demonstrated through extensive testing and statistical analysis applied to empirical curve-fit equations. Because of this, the extent of the testing required is huge and costly: it must consider the load cycle range and test to high numbers of cycles. Additive Manufacturing (AM) for high duty components has brought to the fore the question of the effect of porosity and surface roughness on fatigue life, and how the true life of a critical component can be assessed conservatively. The authors propose the first step toward the development of a fatigue model based on well-established engineering physics principles, by creating computational specimens with modeled surface roughness and porosity, and subjected to cyclic loading using Finite Element Analysis. They show that the combination of roughness features and sub-surface pores leads to an equivalent plastic strain distribution pattern that suggests an emergent physical process that has not been reported before, and which indicates that the component strength and life reduction arising from surface roughness can be made significantly worse by the presence of porosity. The development of such phenomenological understanding should lead to improved life prediction techniques, more cost effective test procedures, and the development of better AM methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.