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Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model

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https://hal-mines-paristech.archives-ouvertes.fr/hal-03137185
Contributor : Bibliotheque Mines Paristech <>
Submitted on : Wednesday, February 10, 2021 - 11:41:52 AM
Last modification on : Friday, February 12, 2021 - 3:05:51 AM

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Hai-Feng Gao, Enrico Zio, Anjenq Wang, Guang-Chen Bai, Cheng-Wei Fei. Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model. Aerospace Science and Technology, Elsevier, 2020, 104, pp.105957. ⟨10.1016/j.ast.2020.105957⟩. ⟨hal-03137185⟩

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