2022
DOI: 10.1016/j.engfracmech.2022.108813
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Unified fatigue life modelling and uncertainty estimation of Ni-based superalloy family with a supervised machine learning approach

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Cited by 18 publications
(1 citation statement)
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“…Many applications implemented the Bootstrap method for fatigue assessment such as turbine blades [11], overload effects [12], pipelines [10], superalloy [13], fatigue lifetime [14] and many more. Bootstrap methods showed an excellent alternative for generating an abnormal distribution [15], reducing the time taken for the sampling process [12] and requiring fewer assumptions during the simulation process [16].…”
mentioning
confidence: 99%
“…Many applications implemented the Bootstrap method for fatigue assessment such as turbine blades [11], overload effects [12], pipelines [10], superalloy [13], fatigue lifetime [14] and many more. Bootstrap methods showed an excellent alternative for generating an abnormal distribution [15], reducing the time taken for the sampling process [12] and requiring fewer assumptions during the simulation process [16].…”
mentioning
confidence: 99%