FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385781754> ?p ?o ?g. }

• W4385781754 endingPage "109550" @default.
• W4385781754 startingPage "109550" @default.
• W4385781754 abstract "This paper proposes a surrogate modeling approach based on XGboost machine learning technique, in order to establish a data-driven mapping relationship between input and output abstracted from practical finite element analysis (FEA) results. It facilitates novel insights into an efficient application of creep-fatigue reliability assessment in low-pressure turbine disc without a large amount of high-fidelity FEA cases. In detail, a general technical route is proposed for the probabilistic estimations of creep-fatigue lifetimes, where the multi-source uncertainties in the sequenced levels are synchronously considered. Subjected to typical creep-fatigue load spectrum, precise weakness hotspot is identified at the 1st bottom fir-tree groove of the turbine disc. Based on hotspot-based strategy, it is found that XGboost-involved surrogate modeling approach significantly improves the computational efficiency. The common results show that logarithmic creep-fatigue lifetimes roughly obey the normal distributions with the present of uncertainty sources, regardless of the multi-source combinations. Specifically, geometric tolerance plays an important role in reliability assessment results, which not only makes conservative gap but also shows high sensitivity in the reliability assessments." @default.
• W4385781754 created "2023-08-13" @default.
• W4385781754 creator A5002498810 @default.
• W4385781754 creator A5009219051 @default.
• W4385781754 creator A5016356589 @default.
• W4385781754 creator A5018504335 @default.
• W4385781754 creator A5082041254 @default.
• W4385781754 creator A5087231395 @default.
• W4385781754 date "2023-12-01" @default.
• W4385781754 modified "2023-10-17" @default.
• W4385781754 title "Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty" @default.
• W4385781754 cites W1576825000 @default.
• W4385781754 cites W1969423837 @default.
• W4385781754 cites W2007560771 @default.
• W4385781754 cites W2017722564 @default.
• W4385781754 cites W2028501442 @default.
• W4385781754 cites W2032355287 @default.
• W4385781754 cites W2064220382 @default.
• W4385781754 cites W2076349930 @default.
• W4385781754 cites W2114060094 @default.
• W4385781754 cites W2165700458 @default.
• W4385781754 cites W2175473154 @default.
• W4385781754 cites W2256942714 @default.
• W4385781754 cites W2520879866 @default.
• W4385781754 cites W2554302783 @default.
• W4385781754 cites W2565516711 @default.
• W4385781754 cites W2626215932 @default.
• W4385781754 cites W2752137862 @default.
• W4385781754 cites W2757101479 @default.
• W4385781754 cites W2765914451 @default.
• W4385781754 cites W2792998889 @default.
• W4385781754 cites W2802654927 @default.
• W4385781754 cites W2807071118 @default.
• W4385781754 cites W2883072816 @default.
• W4385781754 cites W2922446902 @default.
• W4385781754 cites W2943499605 @default.
• W4385781754 cites W2943857328 @default.
• W4385781754 cites W2949293156 @default.
• W4385781754 cites W2978497776 @default.
• W4385781754 cites W3002053017 @default.
• W4385781754 cites W3002295516 @default.
• W4385781754 cites W3008516500 @default.
• W4385781754 cites W3015952220 @default.
• W4385781754 cites W3025605929 @default.
• W4385781754 cites W3082758367 @default.
• W4385781754 cites W3087199467 @default.
• W4385781754 cites W3122455945 @default.
• W4385781754 cites W3126272279 @default.
• W4385781754 cites W3161443471 @default.
• W4385781754 cites W3175108350 @default.
• W4385781754 cites W3175503139 @default.
• W4385781754 cites W3183217260 @default.
• W4385781754 cites W3193974286 @default.
• W4385781754 cites W3215380826 @default.
• W4385781754 cites W3216925839 @default.
• W4385781754 cites W3217291690 @default.
• W4385781754 cites W4220931415 @default.
• W4385781754 cites W4223917210 @default.
• W4385781754 cites W4225678079 @default.
• W4385781754 cites W4280591973 @default.
• W4385781754 cites W4281867437 @default.
• W4385781754 cites W4306686802 @default.
• W4385781754 cites W4309200495 @default.
• W4385781754 cites W4313410663 @default.
• W4385781754 doi "https://doi.org/10.1016/j.ress.2023.109550" @default.
• W4385781754 hasPublicationYear "2023" @default.
• W4385781754 type Work @default.
• W4385781754 citedByCount "1" @default.
• W4385781754 crossrefType "journal-article" @default.
• W4385781754 hasAuthorship W4385781754A5002498810 @default.
• W4385781754 hasAuthorship W4385781754A5009219051 @default.
• W4385781754 hasAuthorship W4385781754A5016356589 @default.
• W4385781754 hasAuthorship W4385781754A5018504335 @default.
• W4385781754 hasAuthorship W4385781754A5082041254 @default.
• W4385781754 hasAuthorship W4385781754A5087231395 @default.
• W4385781754 hasConcept C121332964 @default.
• W4385781754 hasConcept C127313418 @default.
• W4385781754 hasConcept C127413603 @default.
• W4385781754 hasConcept C135628077 @default.
• W4385781754 hasConcept C146481406 @default.
• W4385781754 hasConcept C149912024 @default.
• W4385781754 hasConcept C154945302 @default.
• W4385781754 hasConcept C159985019 @default.
• W4385781754 hasConcept C163258240 @default.
• W4385781754 hasConcept C192562407 @default.
• W4385781754 hasConcept C200601418 @default.
• W4385781754 hasConcept C2778449969 @default.
• W4385781754 hasConcept C41008148 @default.
• W4385781754 hasConcept C43214815 @default.
• W4385781754 hasConcept C49937458 @default.
• W4385781754 hasConcept C62520636 @default.
• W4385781754 hasConcept C66938386 @default.
• W4385781754 hasConcept C78519656 @default.
• W4385781754 hasConcept C8058405 @default.
• W4385781754 hasConceptScore W4385781754C121332964 @default.
• W4385781754 hasConceptScore W4385781754C127313418 @default.
• W4385781754 hasConceptScore W4385781754C127413603 @default.
• W4385781754 hasConceptScore W4385781754C135628077 @default.

• next