2019
DOI: 10.1016/j.tafmec.2019.102239
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The perturbation series method based on the logarithm equation for fatigue crack growth prediction

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Cited by 3 publications
(3 citation statements)
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“…The results show that the fatigue crack growth (FCG) rate increases as the notch cycle (N) increases, which is a common behavior observed in fatigue cracks [18]. The base material (CT-BM) has a shorter fatigue life compared to the welding zones (RS, SZ, and AS), indicating that the weld joint has effectively hindered the expansion of fatigue cracks.…”
Section: Fatigue Crack Growth Behavior With Different Notch Locationsmentioning
confidence: 90%
“…The results show that the fatigue crack growth (FCG) rate increases as the notch cycle (N) increases, which is a common behavior observed in fatigue cracks [18]. The base material (CT-BM) has a shorter fatigue life compared to the welding zones (RS, SZ, and AS), indicating that the weld joint has effectively hindered the expansion of fatigue cracks.…”
Section: Fatigue Crack Growth Behavior With Different Notch Locationsmentioning
confidence: 90%
“…Ankang Cheng established a fatigue crack growth prediction model based on the energy principle (18). Zhiping Qiu proposed a disturbance order method for fatigue crack growth prediction considering the initial crack length error (19). M N M Husnain predicted fatigue crack growth from the perspective of damage tolerance (20).…”
Section: Introductionmentioning
confidence: 99%
“…The perturbation series solution is considered as a modification of the nominal solution obtained by the deterministic method. Due to its conspicuous features of high computational efficiency and good approximation accuracy [45], the perturbation method has been proven to be a valid and efficient approach in various fields, including structural dynamic response calculation [46], structural eigenvalue problems [47], fatigue crack growth evolution predicting [48,49] and so on. Recently, Qiu [50,51] has applied the perturbation theory to analyze the dynamic response of linear Hamiltonian systems and Birkhoffian systems with stochastic and interval uncertainties, respectively.…”
Section: Introductionmentioning
confidence: 99%