On kinetic models for polyatomic gases and their hydrodynamic limits View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Marzia Bisi, Giampiero Spiga

ABSTRACT

Starting from a kinetic Boltzmann or BGK description of a polyatomic gas, on the basis of a discrete structure of internal energy levels, an asymptotic Chapman–Enskog analysis is performed in the continuum limit in order to achieve consistent fluid-dynamic Navier–Stokes equations for the macroscopic fields. Among the various transport coefficients, emphasis is given to the dynamical pressure, which characterizes molecules with non-translational degrees of freedom, and which vanishes in the mono-atomic limit. More... »

PAGES

113-124

References to SciGraph publications

Journal

TITLE

Ricerche di Matematica

ISSUE

1

VOLUME

66

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11587-016-0289-5

DOI

http://dx.doi.org/10.1007/s11587-016-0289-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039840954


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Department of Mathematics and Computer Science, University of Parma, Parco Area delle Scienze 53/A, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bisi", 
        "givenName": "Marzia", 
        "id": "sg:person.07365727065.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07365727065.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Department of Mathematics and Computer Science, University of Parma, Parco Area delle Scienze 53/A, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spiga", 
        "givenName": "Giampiero", 
        "id": "sg:person.012650736763.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012650736763.15"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.euromechflu.2007.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006162695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-1580-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019345667", 
          "https://doi.org/10.1007/978-1-4612-1580-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-1580-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019345667", 
          "https://doi.org/10.1007/978-1-4612-1580-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1019194113816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021650995", 
          "https://doi.org/10.1023/a:1019194113816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11587-015-0247-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026532205", 
          "https://doi.org/10.1007/s11587-015-0247-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2012.08.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029968905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1032401596", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-13341-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032401596", 
          "https://doi.org/10.1007/978-3-319-13341-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-13341-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032401596", 
          "https://doi.org/10.1007/978-3-319-13341-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euromechflu.2004.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049712416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1014033703134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052095259", 
          "https://doi.org/10.1023/a:1014033703134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1808651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057823774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.94.511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060462281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrev.94.511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060462281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.81.036327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060740303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.81.036327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060740303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/95/55002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064233665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/krm.2011.4.259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071740854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4310/cms.2016.v14.n2.a1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072459331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/2621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098868566"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-06", 
    "datePublishedReg": "2017-06-01", 
    "description": "Starting from a kinetic Boltzmann or BGK description of a polyatomic gas, on the basis of a discrete structure of internal energy levels, an asymptotic Chapman\u2013Enskog analysis is performed in the continuum limit in order to achieve consistent fluid-dynamic Navier\u2013Stokes equations for the macroscopic fields. Among the various transport coefficients, emphasis is given to the dynamical pressure, which characterizes molecules with non-translational degrees of freedom, and which vanishes in the mono-atomic limit.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11587-016-0289-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136342", 
        "issn": [
          "0035-5038", 
          "1827-3491"
        ], 
        "name": "Ricerche di Matematica", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "66"
      }
    ], 
    "name": "On kinetic models for polyatomic gases and their hydrodynamic limits", 
    "pagination": "113-124", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bdc88f7ced3613001a8d8db4c28caecd8970ba7b3e4e6b3f979cd5df9a9e109d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11587-016-0289-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039840954"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11587-016-0289-5", 
      "https://app.dimensions.ai/details/publication/pub.1039840954"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11587-016-0289-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11587-016-0289-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11587-016-0289-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11587-016-0289-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11587-016-0289-5'


 

This table displays all metadata directly associated to this object as RDF triples.

120 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11587-016-0289-5 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author Nb356044f04164d629a37ed007175bec8
4 schema:citation sg:pub.10.1007/978-1-4612-1580-6
5 sg:pub.10.1007/978-3-319-13341-6
6 sg:pub.10.1007/s11587-015-0247-7
7 sg:pub.10.1023/a:1014033703134
8 sg:pub.10.1023/a:1019194113816
9 https://app.dimensions.ai/details/publication/pub.1032401596
10 https://doi.org/10.1016/j.euromechflu.2004.07.004
11 https://doi.org/10.1016/j.euromechflu.2007.05.001
12 https://doi.org/10.1016/j.physleta.2012.08.030
13 https://doi.org/10.1063/1.1808651
14 https://doi.org/10.1103/physrev.94.511
15 https://doi.org/10.1103/physreve.81.036327
16 https://doi.org/10.1142/2621
17 https://doi.org/10.1209/0295-5075/95/55002
18 https://doi.org/10.3934/krm.2011.4.259
19 https://doi.org/10.4310/cms.2016.v14.n2.a1
20 schema:datePublished 2017-06
21 schema:datePublishedReg 2017-06-01
22 schema:description Starting from a kinetic Boltzmann or BGK description of a polyatomic gas, on the basis of a discrete structure of internal energy levels, an asymptotic Chapman–Enskog analysis is performed in the continuum limit in order to achieve consistent fluid-dynamic Navier–Stokes equations for the macroscopic fields. Among the various transport coefficients, emphasis is given to the dynamical pressure, which characterizes molecules with non-translational degrees of freedom, and which vanishes in the mono-atomic limit.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N0aae8620a08846f8a4bef1a13e821b03
27 N59b68d570dd249d9a5455300259578eb
28 sg:journal.1136342
29 schema:name On kinetic models for polyatomic gases and their hydrodynamic limits
30 schema:pagination 113-124
31 schema:productId N08a04c73a6b04cb3b345cd7d38dffbb5
32 N6b5aede3f5cc44faa07121b62b61a632
33 N9144df3e72ef4acb978147378bd39262
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039840954
35 https://doi.org/10.1007/s11587-016-0289-5
36 schema:sdDatePublished 2019-04-10T15:54
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Nc3f865f16b0240548aeb7138b7d133dd
39 schema:url http://link.springer.com/10.1007%2Fs11587-016-0289-5
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N08a04c73a6b04cb3b345cd7d38dffbb5 schema:name doi
44 schema:value 10.1007/s11587-016-0289-5
45 rdf:type schema:PropertyValue
46 N0aae8620a08846f8a4bef1a13e821b03 schema:volumeNumber 66
47 rdf:type schema:PublicationVolume
48 N59b68d570dd249d9a5455300259578eb schema:issueNumber 1
49 rdf:type schema:PublicationIssue
50 N6b5aede3f5cc44faa07121b62b61a632 schema:name readcube_id
51 schema:value bdc88f7ced3613001a8d8db4c28caecd8970ba7b3e4e6b3f979cd5df9a9e109d
52 rdf:type schema:PropertyValue
53 N9144df3e72ef4acb978147378bd39262 schema:name dimensions_id
54 schema:value pub.1039840954
55 rdf:type schema:PropertyValue
56 Nb356044f04164d629a37ed007175bec8 rdf:first sg:person.07365727065.28
57 rdf:rest Neff88fd2a9264b3d90344d7763348e77
58 Nc3f865f16b0240548aeb7138b7d133dd schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 Neff88fd2a9264b3d90344d7763348e77 rdf:first sg:person.012650736763.15
61 rdf:rest rdf:nil
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
66 schema:name Interdisciplinary Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1136342 schema:issn 0035-5038
69 1827-3491
70 schema:name Ricerche di Matematica
71 rdf:type schema:Periodical
72 sg:person.012650736763.15 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
73 schema:familyName Spiga
74 schema:givenName Giampiero
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012650736763.15
76 rdf:type schema:Person
77 sg:person.07365727065.28 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
78 schema:familyName Bisi
79 schema:givenName Marzia
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07365727065.28
81 rdf:type schema:Person
82 sg:pub.10.1007/978-1-4612-1580-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019345667
83 https://doi.org/10.1007/978-1-4612-1580-6
84 rdf:type schema:CreativeWork
85 sg:pub.10.1007/978-3-319-13341-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032401596
86 https://doi.org/10.1007/978-3-319-13341-6
87 rdf:type schema:CreativeWork
88 sg:pub.10.1007/s11587-015-0247-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026532205
89 https://doi.org/10.1007/s11587-015-0247-7
90 rdf:type schema:CreativeWork
91 sg:pub.10.1023/a:1014033703134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052095259
92 https://doi.org/10.1023/a:1014033703134
93 rdf:type schema:CreativeWork
94 sg:pub.10.1023/a:1019194113816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021650995
95 https://doi.org/10.1023/a:1019194113816
96 rdf:type schema:CreativeWork
97 https://app.dimensions.ai/details/publication/pub.1032401596 schema:CreativeWork
98 https://doi.org/10.1016/j.euromechflu.2004.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049712416
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.euromechflu.2007.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006162695
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.physleta.2012.08.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029968905
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1063/1.1808651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057823774
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1103/physrev.94.511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060462281
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1103/physreve.81.036327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060740303
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1142/2621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098868566
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1209/0295-5075/95/55002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064233665
113 rdf:type schema:CreativeWork
114 https://doi.org/10.3934/krm.2011.4.259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071740854
115 rdf:type schema:CreativeWork
116 https://doi.org/10.4310/cms.2016.v14.n2.a1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072459331
117 rdf:type schema:CreativeWork
118 https://www.grid.ac/institutes/grid.10383.39 schema:alternateName University of Parma
119 schema:name Department of Mathematics and Computer Science, University of Parma, Parco Area delle Scienze 53/A, 43124, Parma, Italy
120 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...