Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308152364> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4308152364 endingPage "109072" @default.
- W4308152364 startingPage "109072" @default.
- W4308152364 abstract "Data-driven turbulence closures have been used to successfully improve the prediction of first order effects in flows where the test case is similar to the training conditions. In this work, we examine the ability of such closures to improve second order effects, such as heat transfer for complex geometries. First, an upper bound for the available performance of the data-driven model is shown by inserting the Reynolds stresses from the high fidelity training data in a stable manner to a modified Reynolds-Averaged Navier–Stokes (RANS) model. Data-driven closures are then developed from this data set with a focus on robustness and the improvement in the heat transfer effects analysed. The geometries considered are four topology optimised square ducts. Each duct is optimised with varying weights of a multi-objective function to maximise heat transfer and minimise pressure losses. One duct is used in training and the remaining three are set aside for testing the developed closure. For the training case, it is found that simple data-driven closures for the Reynolds stresses alone, are capable of improving prediction of the velocity and temperature fields by 38.2% and 34.8% respectively even in complex geometries. These improvements are largely retained in the testing cases demonstrating the robust generalisation of the developed model for this class of flow." @default.
- W4308152364 created "2022-11-08" @default.
- W4308152364 creator A5000790938 @default.
- W4308152364 creator A5032518800 @default.
- W4308152364 creator A5041477124 @default.
- W4308152364 date "2022-12-01" @default.
- W4308152364 modified "2023-09-26" @default.
- W4308152364 title "Robust data-driven turbulence closures for improved heat transfer prediction in complex geometries" @default.
- W4308152364 cites W1528439235 @default.
- W4308152364 cites W1974097079 @default.
- W4308152364 cites W2000276129 @default.
- W4308152364 cites W2008639417 @default.
- W4308152364 cites W2070825591 @default.
- W4308152364 cites W2083098264 @default.
- W4308152364 cites W2110418811 @default.
- W4308152364 cites W2121221908 @default.
- W4308152364 cites W2515586274 @default.
- W4308152364 cites W2534240011 @default.
- W4308152364 cites W2766872946 @default.
- W4308152364 cites W2919874940 @default.
- W4308152364 cites W2995408993 @default.
- W4308152364 cites W3012045275 @default.
- W4308152364 cites W3013108861 @default.
- W4308152364 cites W3048444177 @default.
- W4308152364 cites W3098665322 @default.
- W4308152364 cites W3118486407 @default.
- W4308152364 cites W3151206940 @default.
- W4308152364 cites W3159480617 @default.
- W4308152364 cites W4205779687 @default.
- W4308152364 cites W4221126762 @default.
- W4308152364 cites W4254953719 @default.
- W4308152364 doi "https://doi.org/10.1016/j.ijheatfluidflow.2022.109072" @default.
- W4308152364 hasPublicationYear "2022" @default.
- W4308152364 type Work @default.
- W4308152364 citedByCount "0" @default.
- W4308152364 crossrefType "journal-article" @default.
- W4308152364 hasAuthorship W4308152364A5000790938 @default.
- W4308152364 hasAuthorship W4308152364A5032518800 @default.
- W4308152364 hasAuthorship W4308152364A5041477124 @default.
- W4308152364 hasBestOaLocation W43081523641 @default.
- W4308152364 hasConcept C104317684 @default.
- W4308152364 hasConcept C121332964 @default.
- W4308152364 hasConcept C142724271 @default.
- W4308152364 hasConcept C147196274 @default.
- W4308152364 hasConcept C182748727 @default.
- W4308152364 hasConcept C185592680 @default.
- W4308152364 hasConcept C196558001 @default.
- W4308152364 hasConcept C2781212128 @default.
- W4308152364 hasConcept C32526432 @default.
- W4308152364 hasConcept C41008148 @default.
- W4308152364 hasConcept C50517652 @default.
- W4308152364 hasConcept C55493867 @default.
- W4308152364 hasConcept C57879066 @default.
- W4308152364 hasConcept C63479239 @default.
- W4308152364 hasConcept C71924100 @default.
- W4308152364 hasConceptScore W4308152364C104317684 @default.
- W4308152364 hasConceptScore W4308152364C121332964 @default.
- W4308152364 hasConceptScore W4308152364C142724271 @default.
- W4308152364 hasConceptScore W4308152364C147196274 @default.
- W4308152364 hasConceptScore W4308152364C182748727 @default.
- W4308152364 hasConceptScore W4308152364C185592680 @default.
- W4308152364 hasConceptScore W4308152364C196558001 @default.
- W4308152364 hasConceptScore W4308152364C2781212128 @default.
- W4308152364 hasConceptScore W4308152364C32526432 @default.
- W4308152364 hasConceptScore W4308152364C41008148 @default.
- W4308152364 hasConceptScore W4308152364C50517652 @default.
- W4308152364 hasConceptScore W4308152364C55493867 @default.
- W4308152364 hasConceptScore W4308152364C57879066 @default.
- W4308152364 hasConceptScore W4308152364C63479239 @default.
- W4308152364 hasConceptScore W4308152364C71924100 @default.
- W4308152364 hasFunder F4320309120 @default.
- W4308152364 hasFunder F4320334627 @default.
- W4308152364 hasLocation W43081523641 @default.
- W4308152364 hasOpenAccess W4308152364 @default.
- W4308152364 hasPrimaryLocation W43081523641 @default.
- W4308152364 hasRelatedWork W124091361 @default.
- W4308152364 hasRelatedWork W1576610598 @default.
- W4308152364 hasRelatedWork W1972793046 @default.
- W4308152364 hasRelatedWork W2061300866 @default.
- W4308152364 hasRelatedWork W2385620532 @default.
- W4308152364 hasRelatedWork W2883229276 @default.
- W4308152364 hasRelatedWork W2969508429 @default.
- W4308152364 hasRelatedWork W3097276948 @default.
- W4308152364 hasRelatedWork W3119446693 @default.
- W4308152364 hasRelatedWork W2736675695 @default.
- W4308152364 hasVolume "98" @default.
- W4308152364 isParatext "false" @default.
- W4308152364 isRetracted "false" @default.
- W4308152364 workType "article" @default.