General Grid Adaptivity for Flow Simulation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1993

AUTHORS

M. J. Marchant , N. P. Weatherill , J. Szmelter

ABSTRACT

Numerical solutions which simulate compressible flows can be greatly improved by mesh adaption. This paper describes the grid adaptivity techniques for mesh refinement, mesh derefinement and node movement. To achieve this flexibility the adaption must be implemented using a suitable data structure, details of which are given. For application to complicated geometries structured, unstructured and hybrid grids are used. Aspects of these mesh generation techniques will be described. Mesh adaptivity will be demonstrated on a variety of 2-dimensional aerospace applications for both inviscid and viscous flow simulation. More... »

PAGES

263-289

Book

TITLE

Multiblock Grid Generation

ISBN

978-3-528-07644-3
978-3-322-87881-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-322-87881-6_24

DOI

http://dx.doi.org/10.1007/978-3-322-87881-6_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007354145


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Swansea University", 
          "id": "https://www.grid.ac/institutes/grid.4827.9", 
          "name": [
            "Institute for Numerical Methods in Engineering, Department of Civil Engineering, University College of Swansea, Singleton Park, Swansea, SA2 8PP, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marchant", 
        "givenName": "M. J.", 
        "id": "sg:person.011005455724.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011005455724.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swansea University", 
          "id": "https://www.grid.ac/institutes/grid.4827.9", 
          "name": [
            "Institute for Numerical Methods in Engineering, Department of Civil Engineering, University College of Swansea, Singleton Park, Swansea, SA2 8PP, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weatherill", 
        "givenName": "N. P.", 
        "id": "sg:person.013270563126.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013270563126.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swansea University", 
          "id": "https://www.grid.ac/institutes/grid.4827.9", 
          "name": [
            "Institute for Numerical Methods in Engineering, Department of Civil Engineering, University College of Swansea, Singleton Park, Swansea, SA2 8PP, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szmelter", 
        "givenName": "J.", 
        "id": "sg:person.012010343271.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012010343271.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/nme.1620320414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012670576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620320414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012670576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620320403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013398247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620320403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013398247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9991(84)90073-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040329170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9991(87)90093-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043124761"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1993", 
    "datePublishedReg": "1993-01-01", 
    "description": "Numerical solutions which simulate compressible flows can be greatly improved by mesh adaption. This paper describes the grid adaptivity techniques for mesh refinement, mesh derefinement and node movement. To achieve this flexibility the adaption must be implemented using a suitable data structure, details of which are given. For application to complicated geometries structured, unstructured and hybrid grids are used. Aspects of these mesh generation techniques will be described. Mesh adaptivity will be demonstrated on a variety of 2-dimensional aerospace applications for both inviscid and viscous flow simulation.", 
    "editor": [
      {
        "familyName": "Weatherill", 
        "givenName": "Nigel P.", 
        "type": "Person"
      }, 
      {
        "familyName": "Marchant", 
        "givenName": "Michael J.", 
        "type": "Person"
      }, 
      {
        "familyName": "King", 
        "givenName": "D. A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-322-87881-6_24", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-528-07644-3", 
        "978-3-322-87881-6"
      ], 
      "name": "Multiblock Grid Generation", 
      "type": "Book"
    }, 
    "name": "General Grid Adaptivity for Flow Simulation", 
    "pagination": "263-289", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-322-87881-6_24"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "230804582ee6b2fdb1550f83c6117a7996740e67f1be334146e74f1caad0826e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007354145"
        ]
      }
    ], 
    "publisher": {
      "location": "Wiesbaden", 
      "name": "Vieweg+Teubner Verlag", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-322-87881-6_24", 
      "https://app.dimensions.ai/details/publication/pub.1007354145"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T18:09", 
    "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_8681_00000247.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-322-87881-6_24"
  }
]
 

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.10.1007/978-3-322-87881-6_24'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-322-87881-6_24'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-322-87881-6_24'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-322-87881-6_24'


 

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

101 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-322-87881-6_24 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N92d3a9b6a8fb432e814a398b6b79cb8a
4 schema:citation https://doi.org/10.1002/nme.1620320403
5 https://doi.org/10.1002/nme.1620320414
6 https://doi.org/10.1016/0021-9991(84)90073-1
7 https://doi.org/10.1016/0021-9991(87)90093-3
8 schema:datePublished 1993
9 schema:datePublishedReg 1993-01-01
10 schema:description Numerical solutions which simulate compressible flows can be greatly improved by mesh adaption. This paper describes the grid adaptivity techniques for mesh refinement, mesh derefinement and node movement. To achieve this flexibility the adaption must be implemented using a suitable data structure, details of which are given. For application to complicated geometries structured, unstructured and hybrid grids are used. Aspects of these mesh generation techniques will be described. Mesh adaptivity will be demonstrated on a variety of 2-dimensional aerospace applications for both inviscid and viscous flow simulation.
11 schema:editor Ne29dabbd35f641ee9b34e2050319a95f
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Nd9abd8e70cb640a2849d98d83f527700
16 schema:name General Grid Adaptivity for Flow Simulation
17 schema:pagination 263-289
18 schema:productId Nbdd836fee7224a28b77df3cae21fedae
19 Nf14f2da1dc3041b0bb43c36f6f5aca0c
20 Nfd7b8d44b014457186ed46d2e9eeb8b9
21 schema:publisher N9f9884651f5d4d1b8eae31c6c0d32bde
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007354145
23 https://doi.org/10.1007/978-3-322-87881-6_24
24 schema:sdDatePublished 2019-04-15T18:09
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher N0124915cfedd4b9496a899bb6ee0f562
27 schema:url http://link.springer.com/10.1007/978-3-322-87881-6_24
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N0124915cfedd4b9496a899bb6ee0f562 schema:name Springer Nature - SN SciGraph project
32 rdf:type schema:Organization
33 N2160014bd9054612b912ee83a8e36485 rdf:first N44179ed17b684e94a64c9488741bdaf9
34 rdf:rest rdf:nil
35 N2b0ab362fd4b413d93c4055e8116f3de schema:familyName Weatherill
36 schema:givenName Nigel P.
37 rdf:type schema:Person
38 N44179ed17b684e94a64c9488741bdaf9 schema:familyName King
39 schema:givenName D. A.
40 rdf:type schema:Person
41 N92d3a9b6a8fb432e814a398b6b79cb8a rdf:first sg:person.011005455724.21
42 rdf:rest Nea4e5c0cb93c4d0aa5564748ca923109
43 N998488dfb46d4fecaf1fc1d16be6cf89 rdf:first Ncbffc23031dd42788e11a11cfa8825f9
44 rdf:rest N2160014bd9054612b912ee83a8e36485
45 N9f9884651f5d4d1b8eae31c6c0d32bde schema:location Wiesbaden
46 schema:name Vieweg+Teubner Verlag
47 rdf:type schema:Organisation
48 Nbdd836fee7224a28b77df3cae21fedae schema:name dimensions_id
49 schema:value pub.1007354145
50 rdf:type schema:PropertyValue
51 Ncbffc23031dd42788e11a11cfa8825f9 schema:familyName Marchant
52 schema:givenName Michael J.
53 rdf:type schema:Person
54 Nd0fb850d6e18480aaa4a75e65f50460c rdf:first sg:person.012010343271.08
55 rdf:rest rdf:nil
56 Nd9abd8e70cb640a2849d98d83f527700 schema:isbn 978-3-322-87881-6
57 978-3-528-07644-3
58 schema:name Multiblock Grid Generation
59 rdf:type schema:Book
60 Ne29dabbd35f641ee9b34e2050319a95f rdf:first N2b0ab362fd4b413d93c4055e8116f3de
61 rdf:rest N998488dfb46d4fecaf1fc1d16be6cf89
62 Nea4e5c0cb93c4d0aa5564748ca923109 rdf:first sg:person.013270563126.27
63 rdf:rest Nd0fb850d6e18480aaa4a75e65f50460c
64 Nf14f2da1dc3041b0bb43c36f6f5aca0c schema:name doi
65 schema:value 10.1007/978-3-322-87881-6_24
66 rdf:type schema:PropertyValue
67 Nfd7b8d44b014457186ed46d2e9eeb8b9 schema:name readcube_id
68 schema:value 230804582ee6b2fdb1550f83c6117a7996740e67f1be334146e74f1caad0826e
69 rdf:type schema:PropertyValue
70 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
71 schema:name Information and Computing Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
74 schema:name Artificial Intelligence and Image Processing
75 rdf:type schema:DefinedTerm
76 sg:person.011005455724.21 schema:affiliation https://www.grid.ac/institutes/grid.4827.9
77 schema:familyName Marchant
78 schema:givenName M. J.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011005455724.21
80 rdf:type schema:Person
81 sg:person.012010343271.08 schema:affiliation https://www.grid.ac/institutes/grid.4827.9
82 schema:familyName Szmelter
83 schema:givenName J.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012010343271.08
85 rdf:type schema:Person
86 sg:person.013270563126.27 schema:affiliation https://www.grid.ac/institutes/grid.4827.9
87 schema:familyName Weatherill
88 schema:givenName N. P.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013270563126.27
90 rdf:type schema:Person
91 https://doi.org/10.1002/nme.1620320403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013398247
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1002/nme.1620320414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012670576
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0021-9991(84)90073-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040329170
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/0021-9991(87)90093-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043124761
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.4827.9 schema:alternateName Swansea University
100 schema:name Institute for Numerical Methods in Engineering, Department of Civil Engineering, University College of Swansea, Singleton Park, Swansea, SA2 8PP, UK
101 rdf:type schema:Organization
 




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


...