FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380758195> ?p ?o ?g. }

• W4380758195 endingPage "105960" @default.
• W4380758195 startingPage "105960" @default.
• W4380758195 abstract "A physics-informed machine learning model is developed that can replace the numerical simulations of porous media. By learning the communications among grid cells in the numerical domain, this model is capable of accurately predicting flow fields for new sets of simulation runs. Because of the many possible random arrangements of particles and their orientation with respect to each other, generalization of permeability with high accuracy is not trivial - nor is it practical using conventional means. Furthermore, building a comprehensive database for different grain/pore arrangements is not possible because of the cost of running numerical simulations to generate the database that represent all possible arrangements. The objective is to predict grid-level flow fields in porous media as a priori to determining permeability of porous media. The rationale is that once the detailed grid-level dynamics can be accurately predicted using data-driven approach, for any configuration/topology of the porous media, the detailed dynamics could be predicted without any need for new expensive numerical simulation runs. In this work, a physics-informed deep learning model is developed by using the results from Lattice-Boltzmann simulations of randomly distributed circular grains to represent the porous media. A variety of porous structures are developed by changing the number, size, and location of circular grains. The deep U-Net and ResNet neural network architectures are combined to train a deep learning model which avoids the vanishing gradient issues. The continuity and momentum conservation equations are embedded into the loss function of deep learning architecture. Robustness of the developed model is then tested for numerous variations of porous media which have not been used for developing the model." @default.
• W4380758195 created "2023-06-16" @default.
• W4380758195 creator A5025000519 @default.
• W4380758195 creator A5059039054 @default.
• W4380758195 creator A5075223706 @default.
• W4380758195 creator A5091813714 @default.
• W4380758195 date "2023-10-01" @default.
• W4380758195 modified "2023-10-14" @default.
• W4380758195 title "Physics-informed data-driven model for fluid flow in porous media" @default.
• W4380758195 cites W1482188528 @default.
• W4380758195 cites W1837372616 @default.
• W4380758195 cites W1971144721 @default.
• W4380758195 cites W1973600879 @default.
• W4380758195 cites W1995514446 @default.
• W4380758195 cites W2002589306 @default.
• W4380758195 cites W2003637147 @default.
• W4380758195 cites W2034732093 @default.
• W4380758195 cites W2046599671 @default.
• W4380758195 cites W2048806419 @default.
• W4380758195 cites W2075325008 @default.
• W4380758195 cites W2082006552 @default.
• W4380758195 cites W2086157762 @default.
• W4380758195 cites W2093445429 @default.
• W4380758195 cites W2100495367 @default.
• W4380758195 cites W2105786252 @default.
• W4380758195 cites W2117242079 @default.
• W4380758195 cites W2118113566 @default.
• W4380758195 cites W2180503039 @default.
• W4380758195 cites W2222429467 @default.
• W4380758195 cites W2419065213 @default.
• W4380758195 cites W2513091077 @default.
• W4380758195 cites W2517872815 @default.
• W4380758195 cites W2606759614 @default.
• W4380758195 cites W2732119521 @default.
• W4380758195 cites W2784733489 @default.
• W4380758195 cites W2792952603 @default.
• W4380758195 cites W2795664256 @default.
• W4380758195 cites W2888331556 @default.
• W4380758195 cites W2896338148 @default.
• W4380758195 cites W2916032760 @default.
• W4380758195 cites W2948230027 @default.
• W4380758195 cites W2962403043 @default.
• W4380758195 cites W2982353498 @default.
• W4380758195 cites W3005606886 @default.
• W4380758195 cites W3008149932 @default.
• W4380758195 cites W3100968477 @default.
• W4380758195 cites W4205866548 @default.
• W4380758195 cites W595626121 @default.
• W4380758195 doi "https://doi.org/10.1016/j.compfluid.2023.105960" @default.
• W4380758195 hasPublicationYear "2023" @default.
• W4380758195 type Work @default.
• W4380758195 citedByCount "0" @default.
• W4380758195 crossrefType "journal-article" @default.
• W4380758195 hasAuthorship W4380758195A5025000519 @default.
• W4380758195 hasAuthorship W4380758195A5059039054 @default.
• W4380758195 hasAuthorship W4380758195A5075223706 @default.
• W4380758195 hasAuthorship W4380758195A5091813714 @default.
• W4380758195 hasConcept C105569014 @default.
• W4380758195 hasConcept C108583219 @default.
• W4380758195 hasConcept C119857082 @default.
• W4380758195 hasConcept C121332964 @default.
• W4380758195 hasConcept C127313418 @default.
• W4380758195 hasConcept C154945302 @default.
• W4380758195 hasConcept C187320778 @default.
• W4380758195 hasConcept C187691185 @default.
• W4380758195 hasConcept C21821499 @default.
• W4380758195 hasConcept C2524010 @default.
• W4380758195 hasConcept C33923547 @default.
• W4380758195 hasConcept C41008148 @default.
• W4380758195 hasConcept C459310 @default.
• W4380758195 hasConcept C50644808 @default.
• W4380758195 hasConcept C57879066 @default.
• W4380758195 hasConcept C6648577 @default.
• W4380758195 hasConcept C90278072 @default.
• W4380758195 hasConceptScore W4380758195C105569014 @default.
• W4380758195 hasConceptScore W4380758195C108583219 @default.
• W4380758195 hasConceptScore W4380758195C119857082 @default.
• W4380758195 hasConceptScore W4380758195C121332964 @default.
• W4380758195 hasConceptScore W4380758195C127313418 @default.
• W4380758195 hasConceptScore W4380758195C154945302 @default.
• W4380758195 hasConceptScore W4380758195C187320778 @default.
• W4380758195 hasConceptScore W4380758195C187691185 @default.
• W4380758195 hasConceptScore W4380758195C21821499 @default.
• W4380758195 hasConceptScore W4380758195C2524010 @default.
• W4380758195 hasConceptScore W4380758195C33923547 @default.
• W4380758195 hasConceptScore W4380758195C41008148 @default.
• W4380758195 hasConceptScore W4380758195C459310 @default.
• W4380758195 hasConceptScore W4380758195C50644808 @default.
• W4380758195 hasConceptScore W4380758195C57879066 @default.
• W4380758195 hasConceptScore W4380758195C6648577 @default.
• W4380758195 hasConceptScore W4380758195C90278072 @default.
• W4380758195 hasLocation W43807581951 @default.
• W4380758195 hasOpenAccess W4380758195 @default.
• W4380758195 hasPrimaryLocation W43807581951 @default.
• W4380758195 hasRelatedWork W1975748363 @default.
• W4380758195 hasRelatedWork W2057403527 @default.
• W4380758195 hasRelatedWork W2100541122 @default.
• W4380758195 hasRelatedWork W2329580140 @default.

• next