“…Figure 7 3, from [19], presents the da/dN versus ∆Κ curves for a AA2324-T359 aluminium alloy tested at values of R = -1, 0.3, 0.5 and 0.7. Figure 4, from [20], presents the da/dN versus ∆Κ curves for a AA7050-T7451 tested at values of R = 0.1 and 0.7. The common feature of each of these plots is that for a given CDF (i.e.…”
Section: Effect Of R-ratiomentioning
confidence: 99%
“…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:…”
Section: Introductionmentioning
confidence: 99%
“…and, as explained in [20,32,36], the values of A and ∆K thr are chosen to ensure that Equation (7) captures the entire crack growth history. This approach has the advantage that it can represent the growth of both long and small, naturally-occurring, cracks and can capture the variability seen in crack-growth histories as observed in both constant amplitude and operational flight-load spectra [24,32] as well as the coalescence of small cracks and their subsequent growth.…”
“…Figure 7 3, from [19], presents the da/dN versus ∆Κ curves for a AA2324-T359 aluminium alloy tested at values of R = -1, 0.3, 0.5 and 0.7. Figure 4, from [20], presents the da/dN versus ∆Κ curves for a AA7050-T7451 tested at values of R = 0.1 and 0.7. The common feature of each of these plots is that for a given CDF (i.e.…”
Section: Effect Of R-ratiomentioning
confidence: 99%
“…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:…”
Section: Introductionmentioning
confidence: 99%
“…and, as explained in [20,32,36], the values of A and ∆K thr are chosen to ensure that Equation (7) captures the entire crack growth history. This approach has the advantage that it can represent the growth of both long and small, naturally-occurring, cracks and can capture the variability seen in crack-growth histories as observed in both constant amplitude and operational flight-load spectra [24,32] as well as the coalescence of small cracks and their subsequent growth.…”
“…These include: − assuming plasticity induced crack closure on the measured long crack data and adjusting the predicted growth for this [i.e. adjusted compliance ratio] [7]; − correlating crack growth to the crack tip opening displacement parameter [10]; − predicting formation of dislocations ahead of the crack front to correlate with crack growth [11]; − adjusting the effective threshold down [12]; − assuming exponential growth and a very low (or zero) growth threshold [13]; − determining a critical strain/distance threshold based on local notch/crack geometry [14,15]; and − using the average crack growth for spectra that contain repeating blocks of variable loading, [16]. The Threshold and Small Crack (TASC) research program at DST has used another approach: an innovative test and analysis technique to directly measure the crack growth rates of small cracks growing as the result of stress intensities just above the cyclic threshold region (∆K th ).…”
Abstract. The fatigue or durability life of a few critical structural metallic components often sets the safe and/or economic useful life of a military airframe. In the case of aluminium airframe components, growth rates, at or soon after fatigue crack nucleation are being driven by near threshold local cyclic stress intensities and thus are very low. Standard crack growth rate data is usually generated from large cracks, and therefore do not represent the growth of small cracks (typically <1mm). Discussed here is an innovative test and analysis technique to measure the growth rates of small cracks growing as the result of stress intensities just above the cyclic growth threshold. Using post-test quantitative fractographic examination of fatigue crack surfaces from a series of 7XXX test coupons, crack growth rates and observations of related growth phenomenon in the threshold region have been made. To better predict small crack growth rates under a range of aircraft loading spectra a method by which standard material data models could be adapted is proposed. Early results suggest that for small cracks this method could be useful in informing engineers on the relative severity of various spectra and leading to more accurate predictions of small crack growth rates which can dominate the fatigue life of airframe components..
“…Therefore, it was concluded that the fatigue threshold was controlled by G max alone. Recently Jones et al [23,24] used a variant of the Hartman-Schijve equation to eliminate the effect of load ratio on mode I and mode II fatigue crack growth in a wide variety of polymer composites. However, in order to predict the crack growth rate at a specified range of the stress intensity factor, the method requires the measurement of the fatigue threshold for each load ratio of interest.…”
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