FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100847470> ?p ?o ?g. }

• W3100847470 endingPage "244104" @default.
• W3100847470 startingPage "244104" @default.
• W3100847470 abstract "The most efficient way to pack equally sized spheres isotropically in 3D is known as the random close packed state, which provides a starting point for many approximations in physics and engineering. However, the particle size distribution of a real granular material is never monodisperse. Here we present a simple but accurate approximation for the random close packing density of hard spheres of any size distribution, based upon a mapping onto a one-dimensional problem. To test this theory we performed extensive simulations for mixtures of elastic spheres with hydrodynamic friction. The simulations show a general (but weak) dependence of the final (essentially hard sphere) packing density on fluid viscosity and on particle size, but this can be eliminated by choosing a specific relation between mass and particle size, making the random close packed volume fraction well-defined. Our theory agrees well with the simulations for bidisperse, tridisperse and log-normal distributions, and correctly reproduces the exact limits for large size ratios." @default.
• W3100847470 created "2020-11-23" @default.
• W3100847470 creator A5010321570 @default.
• W3100847470 creator A5054109971 @default.
• W3100847470 date "2009-12-28" @default.
• W3100847470 modified "2023-10-12" @default.
• W3100847470 title "Close packing density of polydisperse hard spheres" @default.
• W3100847470 cites W1963639457 @default.
• W3100847470 cites W1972812676 @default.
• W3100847470 cites W1973578043 @default.
• W3100847470 cites W1976486335 @default.
• W3100847470 cites W1982220212 @default.
• W3100847470 cites W1998727885 @default.
• W3100847470 cites W2011464788 @default.
• W3100847470 cites W2015559654 @default.
• W3100847470 cites W2025422771 @default.
• W3100847470 cites W2026011478 @default.
• W3100847470 cites W2031715663 @default.
• W3100847470 cites W2032655419 @default.
• W3100847470 cites W2055125981 @default.
• W3100847470 cites W2057439276 @default.
• W3100847470 cites W2072839615 @default.
• W3100847470 cites W2090210375 @default.
• W3100847470 cites W2090459098 @default.
• W3100847470 cites W2093310284 @default.
• W3100847470 cites W2093971019 @default.
• W3100847470 cites W2096848392 @default.
• W3100847470 cites W2114479908 @default.
• W3100847470 cites W2135179691 @default.
• W3100847470 cites W2151615836 @default.
• W3100847470 doi "https://doi.org/10.1063/1.3276799" @default.
• W3100847470 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20059051" @default.
• W3100847470 hasPublicationYear "2009" @default.
• W3100847470 type Work @default.
• W3100847470 sameAs 3100847470 @default.
• W3100847470 citedByCount "263" @default.
• W3100847470 countsByYear W31008474702012 @default.
• W3100847470 countsByYear W31008474702013 @default.
• W3100847470 countsByYear W31008474702014 @default.
• W3100847470 countsByYear W31008474702015 @default.
• W3100847470 countsByYear W31008474702016 @default.
• W3100847470 countsByYear W31008474702017 @default.
• W3100847470 countsByYear W31008474702018 @default.
• W3100847470 countsByYear W31008474702019 @default.
• W3100847470 countsByYear W31008474702020 @default.
• W3100847470 countsByYear W31008474702021 @default.
• W3100847470 countsByYear W31008474702022 @default.
• W3100847470 countsByYear W31008474702023 @default.
• W3100847470 crossrefType "journal-article" @default.
• W3100847470 hasAuthorship W3100847470A5010321570 @default.
• W3100847470 hasAuthorship W3100847470A5054109971 @default.
• W3100847470 hasBestOaLocation W31008474702 @default.
• W3100847470 hasConcept C110121322 @default.
• W3100847470 hasConcept C110161667 @default.
• W3100847470 hasConcept C111368507 @default.
• W3100847470 hasConcept C11432220 @default.
• W3100847470 hasConcept C116628846 @default.
• W3100847470 hasConcept C121332964 @default.
• W3100847470 hasConcept C121864883 @default.
• W3100847470 hasConcept C127172972 @default.
• W3100847470 hasConcept C127313418 @default.
• W3100847470 hasConcept C1276947 @default.
• W3100847470 hasConcept C134306372 @default.
• W3100847470 hasConcept C147789679 @default.
• W3100847470 hasConcept C183893376 @default.
• W3100847470 hasConcept C185592680 @default.
• W3100847470 hasConcept C187530423 @default.
• W3100847470 hasConcept C188027245 @default.
• W3100847470 hasConcept C192562407 @default.
• W3100847470 hasConcept C2524010 @default.
• W3100847470 hasConcept C2778517922 @default.
• W3100847470 hasConcept C32568104 @default.
• W3100847470 hasConcept C33923547 @default.
• W3100847470 hasConcept C46141821 @default.
• W3100847470 hasConcept C57879066 @default.
• W3100847470 hasConcept C62520636 @default.
• W3100847470 hasConcept C65590680 @default.
• W3100847470 hasConcept C72422203 @default.
• W3100847470 hasConcept C74650414 @default.
• W3100847470 hasConcept C97355855 @default.
• W3100847470 hasConcept C99987037 @default.
• W3100847470 hasConceptScore W3100847470C110121322 @default.
• W3100847470 hasConceptScore W3100847470C110161667 @default.
• W3100847470 hasConceptScore W3100847470C111368507 @default.
• W3100847470 hasConceptScore W3100847470C11432220 @default.
• W3100847470 hasConceptScore W3100847470C116628846 @default.
• W3100847470 hasConceptScore W3100847470C121332964 @default.
• W3100847470 hasConceptScore W3100847470C121864883 @default.
• W3100847470 hasConceptScore W3100847470C127172972 @default.
• W3100847470 hasConceptScore W3100847470C127313418 @default.
• W3100847470 hasConceptScore W3100847470C1276947 @default.
• W3100847470 hasConceptScore W3100847470C134306372 @default.
• W3100847470 hasConceptScore W3100847470C147789679 @default.
• W3100847470 hasConceptScore W3100847470C183893376 @default.
• W3100847470 hasConceptScore W3100847470C185592680 @default.
• W3100847470 hasConceptScore W3100847470C187530423 @default.
• W3100847470 hasConceptScore W3100847470C188027245 @default.
• W3100847470 hasConceptScore W3100847470C192562407 @default.

• next