Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386625541> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4386625541 endingPage "109626" @default.
- W4386625541 startingPage "109626" @default.
- W4386625541 abstract "In this paper, the fatigue failure behavior of pre-corroded Al-Li alloy 2050-T8 was investigated through measured multi-source experimental information involving 3D corrosion morphology, 3D-DIC strain fields, SEM fractography, and EBSD material microstructure. A data-driven fatigue life prediction model for pre-corroded aluminum alloy was developed based on machine learning, in which the characteristic parameters of corrosion macro-morphology, local corrosion micro-morphology, and loading condition were trained by XGBoost algorithm to be associated with the residual fatigue life. Experimental results show that corrosion pits induce fatigue macro-crack initiation with varied time, amount, and specific location, due to the diverse corrosion morphologies. Four typical forms of fatigue micro-crack initiation were summarized, i.e., corrosion micro-pit, corrosion jut-in, corrosion tunnel, and pit sub-surface, mainly attributed to the mechanisms of local stress/strain concentration or local material embrittlement. It was demonstrated that the proposed data-driven model can effectively predict the fatigue life of pre-corroded aluminum alloy with high accuracy." @default.
- W4386625541 created "2023-09-13" @default.
- W4386625541 creator A5003274445 @default.
- W4386625541 creator A5007259674 @default.
- W4386625541 creator A5013277489 @default.
- W4386625541 creator A5048279362 @default.
- W4386625541 date "2023-11-01" @default.
- W4386625541 modified "2023-09-27" @default.
- W4386625541 title "Multi-source data driven fatigue failure analysis and life prediction of pre-corroded aluminum–lithium alloy 2050-T8" @default.
- W4386625541 cites W1104818627 @default.
- W4386625541 cites W1963845871 @default.
- W4386625541 cites W1983125563 @default.
- W4386625541 cites W2003574735 @default.
- W4386625541 cites W2003644209 @default.
- W4386625541 cites W2007154910 @default.
- W4386625541 cites W2012464602 @default.
- W4386625541 cites W2021353327 @default.
- W4386625541 cites W2032755020 @default.
- W4386625541 cites W2047444517 @default.
- W4386625541 cites W2069618247 @default.
- W4386625541 cites W2081773897 @default.
- W4386625541 cites W2083338872 @default.
- W4386625541 cites W2094086965 @default.
- W4386625541 cites W2094433857 @default.
- W4386625541 cites W2126926374 @default.
- W4386625541 cites W2161843740 @default.
- W4386625541 cites W2403648369 @default.
- W4386625541 cites W2535148033 @default.
- W4386625541 cites W2912458815 @default.
- W4386625541 cites W2961604913 @default.
- W4386625541 cites W2961631180 @default.
- W4386625541 cites W2995012791 @default.
- W4386625541 cites W3016496230 @default.
- W4386625541 cites W3017250910 @default.
- W4386625541 cites W3081570714 @default.
- W4386625541 cites W3114692006 @default.
- W4386625541 cites W3124590480 @default.
- W4386625541 cites W3158410592 @default.
- W4386625541 cites W3159623433 @default.
- W4386625541 cites W3171236242 @default.
- W4386625541 cites W4220717890 @default.
- W4386625541 cites W4285401038 @default.
- W4386625541 cites W618349037 @default.
- W4386625541 doi "https://doi.org/10.1016/j.engfracmech.2023.109626" @default.
- W4386625541 hasPublicationYear "2023" @default.
- W4386625541 type Work @default.
- W4386625541 citedByCount "0" @default.
- W4386625541 crossrefType "journal-article" @default.
- W4386625541 hasAuthorship W4386625541A5003274445 @default.
- W4386625541 hasAuthorship W4386625541A5007259674 @default.
- W4386625541 hasAuthorship W4386625541A5013277489 @default.
- W4386625541 hasAuthorship W4386625541A5048279362 @default.
- W4386625541 hasConcept C142282041 @default.
- W4386625541 hasConcept C191897082 @default.
- W4386625541 hasConcept C192562407 @default.
- W4386625541 hasConcept C20625102 @default.
- W4386625541 hasConcept C2780026712 @default.
- W4386625541 hasConcept C27805521 @default.
- W4386625541 hasConcept C2781089209 @default.
- W4386625541 hasConcept C37292000 @default.
- W4386625541 hasConcept C45780264 @default.
- W4386625541 hasConcept C513153333 @default.
- W4386625541 hasConcept C87976508 @default.
- W4386625541 hasConceptScore W4386625541C142282041 @default.
- W4386625541 hasConceptScore W4386625541C191897082 @default.
- W4386625541 hasConceptScore W4386625541C192562407 @default.
- W4386625541 hasConceptScore W4386625541C20625102 @default.
- W4386625541 hasConceptScore W4386625541C2780026712 @default.
- W4386625541 hasConceptScore W4386625541C27805521 @default.
- W4386625541 hasConceptScore W4386625541C2781089209 @default.
- W4386625541 hasConceptScore W4386625541C37292000 @default.
- W4386625541 hasConceptScore W4386625541C45780264 @default.
- W4386625541 hasConceptScore W4386625541C513153333 @default.
- W4386625541 hasConceptScore W4386625541C87976508 @default.
- W4386625541 hasFunder F4320321001 @default.
- W4386625541 hasFunder F4320328119 @default.
- W4386625541 hasFunder F4320335787 @default.
- W4386625541 hasLocation W43866255411 @default.
- W4386625541 hasOpenAccess W4386625541 @default.
- W4386625541 hasPrimaryLocation W43866255411 @default.
- W4386625541 hasRelatedWork W2010733322 @default.
- W4386625541 hasRelatedWork W2017297204 @default.
- W4386625541 hasRelatedWork W2123155170 @default.
- W4386625541 hasRelatedWork W2354862285 @default.
- W4386625541 hasRelatedWork W2379855728 @default.
- W4386625541 hasRelatedWork W2390561364 @default.
- W4386625541 hasRelatedWork W2591248554 @default.
- W4386625541 hasRelatedWork W3097783663 @default.
- W4386625541 hasRelatedWork W4205648827 @default.
- W4386625541 hasRelatedWork W4221125667 @default.
- W4386625541 hasVolume "292" @default.
- W4386625541 isParatext "false" @default.
- W4386625541 isRetracted "false" @default.
- W4386625541 workType "article" @default.