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• W3127947514 abstract "Abstract The present paper describes a probabilistic framework to predict the fatigue life and failure mode under various thermo-mechanical loading conditions. Specifically, inclusion- and matrix-driven competing failure modes are examined within nickel-based superalloys. The critical accumulated plastic strain energy density (APSED) is employed as a unified metric to predict fatigue crack initiation in metals, which is favorable due to the usage of a single unknown parameter and its capability to predict failure across loading conditions and failure modes. In this research, we characterize the temperature-dependent variation of the critical APSED using a Bayesian inference framework and predict the competing failure modes in a coarse grain variant of RR1000 with varying strain range and temperature. The critical APSED appears to decrease along a vertically reflected sigmoidal curve with increasing temperature. Further, (a) the prediction of a failure mode, (b) failure mode associated with the minimum life, and (c) the change in the location associated with the matrix-driven failure mode with increasing temperature and decreasing strain range are consistent with the experimentally observed trends in RR1000, as well as other Nickel-based superalloys, documented in the literature. Finally, for each simulated loading condition, the uncertainty in the fatigue life is quantified as a prediction interval computed based on a $$95%$$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mrow> <mml:mn>95</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> confidence level of the critical APSED and the computed APSED from simulations. The overall framework provides a promising step towards microstructural-based fatigue life determination of components and enables a location-specific lifing approach." @default.
• W3127947514 created "2021-02-15" @default.
• W3127947514 creator A5082636926 @default.
• W3127947514 creator A5089964667 @default.
• W3127947514 date "2021-01-28" @default.
• W3127947514 modified "2023-10-16" @default.
• W3127947514 title "A Probabilistic Fatigue Framework to Enable Location-Specific Lifing for Critical Thermo-mechanical Engineering Applications" @default.
• W3127947514 cites W1837369808 @default.
• W3127947514 cites W1881390669 @default.
• W3127947514 cites W1976431085 @default.
• W3127947514 cites W1985558904 @default.
• W3127947514 cites W1990487328 @default.
• W3127947514 cites W1992594410 @default.
• W3127947514 cites W1993120765 @default.
• W3127947514 cites W1998158943 @default.
• W3127947514 cites W2001802243 @default.
• W3127947514 cites W2001941800 @default.
• W3127947514 cites W2015008554 @default.
• W3127947514 cites W2015240388 @default.
• W3127947514 cites W2017285069 @default.
• W3127947514 cites W2018111239 @default.
• W3127947514 cites W2022610554 @default.
• W3127947514 cites W2028247479 @default.
• W3127947514 cites W2032728044 @default.
• W3127947514 cites W2032931724 @default.
• W3127947514 cites W2037502111 @default.
• W3127947514 cites W2046480487 @default.
• W3127947514 cites W2047553514 @default.
• W3127947514 cites W2049228124 @default.
• W3127947514 cites W2056760934 @default.
• W3127947514 cites W2057022818 @default.
• W3127947514 cites W2062395428 @default.
• W3127947514 cites W2065413648 @default.
• W3127947514 cites W2065994278 @default.
• W3127947514 cites W2066586772 @default.
• W3127947514 cites W2073981404 @default.
• W3127947514 cites W2074423439 @default.
• W3127947514 cites W2076415773 @default.
• W3127947514 cites W2077679340 @default.
• W3127947514 cites W2080264003 @default.
• W3127947514 cites W2083728295 @default.
• W3127947514 cites W2089809119 @default.
• W3127947514 cites W2102323087 @default.
• W3127947514 cites W2103821336 @default.
• W3127947514 cites W2128015741 @default.
• W3127947514 cites W2138309709 @default.
• W3127947514 cites W2155159282 @default.
• W3127947514 cites W2161635253 @default.
• W3127947514 cites W2168262336 @default.
• W3127947514 cites W2228200459 @default.
• W3127947514 cites W2253524226 @default.
• W3127947514 cites W2297864306 @default.
• W3127947514 cites W2316102981 @default.
• W3127947514 cites W2329428526 @default.
• W3127947514 cites W2368473721 @default.
• W3127947514 cites W2500536078 @default.
• W3127947514 cites W2523016144 @default.
• W3127947514 cites W2544968136 @default.
• W3127947514 cites W2597058750 @default.
• W3127947514 cites W2606153249 @default.
• W3127947514 cites W2736080336 @default.
• W3127947514 cites W2737121974 @default.
• W3127947514 cites W2765134984 @default.
• W3127947514 cites W2772444701 @default.
• W3127947514 cites W2789959669 @default.
• W3127947514 cites W2795926835 @default.
• W3127947514 cites W2796359647 @default.
• W3127947514 cites W2797017014 @default.
• W3127947514 cites W2855289976 @default.
• W3127947514 cites W2859224107 @default.
• W3127947514 cites W287430752 @default.
• W3127947514 cites W2884360189 @default.
• W3127947514 cites W2901544834 @default.
• W3127947514 cites W2902833357 @default.
• W3127947514 cites W2915488606 @default.
• W3127947514 cites W2951676744 @default.
• W3127947514 cites W2963399409 @default.
• W3127947514 cites W2971962370 @default.
• W3127947514 cites W2989006213 @default.
• W3127947514 cites W3005454430 @default.
• W3127947514 cites W3007360910 @default.
• W3127947514 cites W3014846534 @default.
• W3127947514 cites W3015079256 @default.
• W3127947514 cites W3022408793 @default.
• W3127947514 cites W3037923096 @default.
• W3127947514 cites W3081866317 @default.
• W3127947514 cites W3095468610 @default.
• W3127947514 cites W4245402324 @default.
• W3127947514 cites W4253194302 @default.
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• W3127947514 doi "https://doi.org/10.1007/s40192-021-00198-4" @default.
• W3127947514 hasPublicationYear "2021" @default.
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