Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313648754> ?p ?o ?g. }
- W4313648754 endingPage "107397" @default.
- W4313648754 startingPage "107397" @default.
- W4313648754 abstract "Permeability measurements of engineering textiles exhibit large variability as no standardization method currently exists; numerical permeability prediction is thus an attractive alternative. It has all advantages of virtual material characterization, including the possibility to study the impact of material variability and small-scale parameters. This paper presents the results of an international virtual permeability benchmark, which is a first contribution to permeability predictions for fibrous reinforcements based on real images. In this first stage, the focus was on the microscale computation of fiber bundle permeability. In total 16 participants provided 50 results using different numerical methods, boundary conditions, permeability identification techniques. The scatter of the predicted axial permeability after the elimination of inconsistent results was found to be smaller (14%) than that of the transverse permeability (∼24%). Dominant effects on the permeability were found to be the boundary conditions in tangential direction, number of sub-domains used in the renormalization approach, and the permeability identification technique." @default.
- W4313648754 created "2023-01-07" @default.
- W4313648754 creator A5000418448 @default.
- W4313648754 creator A5006520987 @default.
- W4313648754 creator A5006960371 @default.
- W4313648754 creator A5017622333 @default.
- W4313648754 creator A5019095208 @default.
- W4313648754 creator A5021572335 @default.
- W4313648754 creator A5022533999 @default.
- W4313648754 creator A5026419656 @default.
- W4313648754 creator A5028125397 @default.
- W4313648754 creator A5030841165 @default.
- W4313648754 creator A5033432889 @default.
- W4313648754 creator A5034409280 @default.
- W4313648754 creator A5034545157 @default.
- W4313648754 creator A5034867207 @default.
- W4313648754 creator A5034912667 @default.
- W4313648754 creator A5035226264 @default.
- W4313648754 creator A5036921966 @default.
- W4313648754 creator A5040542188 @default.
- W4313648754 creator A5042321163 @default.
- W4313648754 creator A5045876328 @default.
- W4313648754 creator A5049121540 @default.
- W4313648754 creator A5051560843 @default.
- W4313648754 creator A5053652152 @default.
- W4313648754 creator A5055518991 @default.
- W4313648754 creator A5057085969 @default.
- W4313648754 creator A5059606956 @default.
- W4313648754 creator A5059669129 @default.
- W4313648754 creator A5062200938 @default.
- W4313648754 creator A5063250854 @default.
- W4313648754 creator A5064900608 @default.
- W4313648754 creator A5066541648 @default.
- W4313648754 creator A5066896549 @default.
- W4313648754 creator A5067221701 @default.
- W4313648754 creator A5067854341 @default.
- W4313648754 creator A5069754846 @default.
- W4313648754 creator A5075102681 @default.
- W4313648754 creator A5078891102 @default.
- W4313648754 creator A5079967019 @default.
- W4313648754 creator A5081753063 @default.
- W4313648754 creator A5090007563 @default.
- W4313648754 date "2023-04-01" @default.
- W4313648754 modified "2023-10-15" @default.
- W4313648754 title "Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions" @default.
- W4313648754 cites W1595863715 @default.
- W4313648754 cites W1869345763 @default.
- W4313648754 cites W1965648022 @default.
- W4313648754 cites W1976978985 @default.
- W4313648754 cites W1980388428 @default.
- W4313648754 cites W1997099883 @default.
- W4313648754 cites W2010670550 @default.
- W4313648754 cites W2040290486 @default.
- W4313648754 cites W2040376141 @default.
- W4313648754 cites W2042685268 @default.
- W4313648754 cites W2055179291 @default.
- W4313648754 cites W2057834435 @default.
- W4313648754 cites W2060618736 @default.
- W4313648754 cites W2070711269 @default.
- W4313648754 cites W2072238435 @default.
- W4313648754 cites W2093231456 @default.
- W4313648754 cites W2096105657 @default.
- W4313648754 cites W2125114221 @default.
- W4313648754 cites W2134635972 @default.
- W4313648754 cites W2156858711 @default.
- W4313648754 cites W2178593556 @default.
- W4313648754 cites W2288710980 @default.
- W4313648754 cites W2312809151 @default.
- W4313648754 cites W2322698129 @default.
- W4313648754 cites W2624733994 @default.
- W4313648754 cites W2773939646 @default.
- W4313648754 cites W2790778522 @default.
- W4313648754 cites W2906752110 @default.
- W4313648754 cites W2922219730 @default.
- W4313648754 cites W2963994661 @default.
- W4313648754 cites W3164988321 @default.
- W4313648754 cites W3177646444 @default.
- W4313648754 cites W4210404933 @default.
- W4313648754 doi "https://doi.org/10.1016/j.compositesa.2022.107397" @default.
- W4313648754 hasPublicationYear "2023" @default.
- W4313648754 type Work @default.
- W4313648754 citedByCount "4" @default.
- W4313648754 countsByYear W43136487542023 @default.
- W4313648754 crossrefType "journal-article" @default.
- W4313648754 hasAuthorship W4313648754A5000418448 @default.
- W4313648754 hasAuthorship W4313648754A5006520987 @default.
- W4313648754 hasAuthorship W4313648754A5006960371 @default.
- W4313648754 hasAuthorship W4313648754A5017622333 @default.
- W4313648754 hasAuthorship W4313648754A5019095208 @default.
- W4313648754 hasAuthorship W4313648754A5021572335 @default.
- W4313648754 hasAuthorship W4313648754A5022533999 @default.
- W4313648754 hasAuthorship W4313648754A5026419656 @default.
- W4313648754 hasAuthorship W4313648754A5028125397 @default.
- W4313648754 hasAuthorship W4313648754A5030841165 @default.
- W4313648754 hasAuthorship W4313648754A5033432889 @default.
- W4313648754 hasAuthorship W4313648754A5034409280 @default.
- W4313648754 hasAuthorship W4313648754A5034545157 @default.
- W4313648754 hasAuthorship W4313648754A5034867207 @default.