2020
DOI: 10.1016/j.ijfatigue.2020.105669
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Response to Comment on paper: A unified frequency domain fatigue damage modeling approach for random-on-random spectrum [Z. Li and A. Ince. Int J Fatigue, 2019;124:123–137]

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Cited by 2 publications
(2 citation statements)
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“…At present, the performance of single crystal superalloy is mostly obtained by the experiment using the separately casted alloy cut into standard specimens. Many studies have been conducted on standard specimens in order to better clarify the fatigue behavior of nickel-based single crystal superalloy, especially the effects of environment, material defects, loading waveforms and frequency, and temperature [4][5][6][7]. However, turbine blade is casted one time by directional solidification technology.…”
Section: Introductionmentioning
confidence: 99%
“…At present, the performance of single crystal superalloy is mostly obtained by the experiment using the separately casted alloy cut into standard specimens. Many studies have been conducted on standard specimens in order to better clarify the fatigue behavior of nickel-based single crystal superalloy, especially the effects of environment, material defects, loading waveforms and frequency, and temperature [4][5][6][7]. However, turbine blade is casted one time by directional solidification technology.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of low fatigue modeling it is important that this approach allows to estimate fatigue not only at the stage of crack initiation and also during the crack propagation [13,14]. The continuum damage methods make it possible to determine fatigue life for different materials; apart from steel it can be used for other materials including titanium alloy, concrete, rubber, composites and different structural components e. g. aeroengine blade, bridges, steam turbine rotor, plexiglas resist [8,11,[15][16][17][18][19][20]. Characteristics of continuum damage methods allow to take into consideration the load sequence effect [21].…”
Section: Introductionmentioning
confidence: 99%