Generalised Mesh and Adaptivity Techniques for Computational Fluid Dynamics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1991

AUTHORS

N. P. Weatherill

ABSTRACT

After more than a decade of interest and research effort there is still considerable attention given to techniques for the construction of meshes. This is because the majority of people involved with computational methods have to face the problem of mesh generation. For some applications the process is relatively simple, for others mesh generation represents the major problem in the numerical simulation procedure. Techniques applicable to the former class of problem are now widely understood. Methods for use in problems defined in complicated domains have been developed by a relatively small group of workers in both industry and academia. Today, automatic grid generation generally follows the body aligned approach in the form of structured multiblock, utilising interpolation or elliptic solvers, or unstructured meshes of tetrahedra constructed using the advancing front or Delaunay approaches. Much success has been achieved using the overlapping mesh approach, which is now synonymous with the ‘Chimera’ method, although this is not widely used outside a few notable groups. More... »

PAGES

398-409

Book

TITLE

The finite element method in the 1990’s

ISBN

978-3-662-10328-9
978-3-662-10326-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-10326-5_40

DOI

http://dx.doi.org/10.1007/978-3-662-10326-5_40

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040907688


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/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute for Numerical Methods in Engineering, University College of Swansea, Singleton Park, SA2 8PP, Swansea, UK", 
          "id": "http://www.grid.ac/institutes/grid.4827.9", 
          "name": [
            "Institute for Numerical Methods in Engineering, University College of Swansea, Singleton Park, SA2 8PP, Swansea, 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"
      }
    ], 
    "datePublished": "1991", 
    "datePublishedReg": "1991-01-01", 
    "description": "After more than a decade of interest and research effort there is still considerable attention given to techniques for the construction of meshes. This is because the majority of people involved with computational methods have to face the problem of mesh generation. For some applications the process is relatively simple, for others mesh generation represents the major problem in the numerical simulation procedure. Techniques applicable to the former class of problem are now widely understood. Methods for use in problems defined in complicated domains have been developed by a relatively small group of workers in both industry and academia. Today, automatic grid generation generally follows the body aligned approach in the form of structured multiblock, utilising interpolation or elliptic solvers, or unstructured meshes of tetrahedra constructed using the advancing front or Delaunay approaches. Much success has been achieved using the overlapping mesh approach, which is now synonymous with the \u2018Chimera\u2019 method, although this is not widely used outside a few notable groups.", 
    "editor": [
      {
        "familyName": "O\u00f1ate", 
        "givenName": "E.", 
        "type": "Person"
      }, 
      {
        "familyName": "Periaux", 
        "givenName": "J.", 
        "type": "Person"
      }, 
      {
        "familyName": "Samuelsson", 
        "givenName": "A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-10326-5_40", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-662-10328-9", 
        "978-3-662-10326-5"
      ], 
      "name": "The finite element method in the 1990\u2019s", 
      "type": "Book"
    }, 
    "keywords": [
      "automatic grid generation", 
      "adaptivity techniques", 
      "mesh generation", 
      "grid generation", 
      "complicated domains", 
      "structured multiblock", 
      "elliptic solver", 
      "construction of meshes", 
      "computational methods", 
      "Delaunay approach", 
      "unstructured meshes", 
      "mesh approach", 
      "research efforts", 
      "mesh", 
      "computational fluid dynamics", 
      "major problem", 
      "technique", 
      "simulation procedure", 
      "solver", 
      "considerable attention", 
      "interpolation", 
      "method", 
      "academia", 
      "generation", 
      "applications", 
      "notable group", 
      "fluid dynamics", 
      "former class", 
      "domain", 
      "today", 
      "construction", 
      "industry", 
      "efforts", 
      "class", 
      "interest", 
      "multiblock", 
      "process", 
      "small group", 
      "use", 
      "success", 
      "attention", 
      "people", 
      "procedure", 
      "decades", 
      "front", 
      "problem", 
      "dynamics", 
      "form", 
      "majority of people", 
      "decades of interest", 
      "numerical simulation procedure", 
      "approach", 
      "workers", 
      "body", 
      "majority", 
      "group", 
      "tetrahedra", 
      "chimeras", 
      "Generalised Mesh"
    ], 
    "name": "Generalised Mesh and Adaptivity Techniques for Computational Fluid Dynamics", 
    "pagination": "398-409", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040907688"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-10326-5_40"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-10326-5_40", 
      "https://app.dimensions.ai/details/publication/pub.1040907688"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-11-01T18:59", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/chapter/chapter_404.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-10326-5_40"
  }
]
 

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.10.1007/978-3-662-10326-5_40'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10326-5_40'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10326-5_40'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10326-5_40'


 

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

129 TRIPLES      23 PREDICATES      85 URIs      78 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-10326-5_40 schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author N3be43b89eeab4d13b48bc6c704d968d0
4 schema:datePublished 1991
5 schema:datePublishedReg 1991-01-01
6 schema:description After more than a decade of interest and research effort there is still considerable attention given to techniques for the construction of meshes. This is because the majority of people involved with computational methods have to face the problem of mesh generation. For some applications the process is relatively simple, for others mesh generation represents the major problem in the numerical simulation procedure. Techniques applicable to the former class of problem are now widely understood. Methods for use in problems defined in complicated domains have been developed by a relatively small group of workers in both industry and academia. Today, automatic grid generation generally follows the body aligned approach in the form of structured multiblock, utilising interpolation or elliptic solvers, or unstructured meshes of tetrahedra constructed using the advancing front or Delaunay approaches. Much success has been achieved using the overlapping mesh approach, which is now synonymous with the ‘Chimera’ method, although this is not widely used outside a few notable groups.
7 schema:editor N22ea1af98b194da2bf5a5b060c6476c6
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Ne3a8936b7f1c4c5aa44112bb34a9ce2b
12 schema:keywords Delaunay approach
13 Generalised Mesh
14 academia
15 adaptivity techniques
16 applications
17 approach
18 attention
19 automatic grid generation
20 body
21 chimeras
22 class
23 complicated domains
24 computational fluid dynamics
25 computational methods
26 considerable attention
27 construction
28 construction of meshes
29 decades
30 decades of interest
31 domain
32 dynamics
33 efforts
34 elliptic solver
35 fluid dynamics
36 form
37 former class
38 front
39 generation
40 grid generation
41 group
42 industry
43 interest
44 interpolation
45 major problem
46 majority
47 majority of people
48 mesh
49 mesh approach
50 mesh generation
51 method
52 multiblock
53 notable group
54 numerical simulation procedure
55 people
56 problem
57 procedure
58 process
59 research efforts
60 simulation procedure
61 small group
62 solver
63 structured multiblock
64 success
65 technique
66 tetrahedra
67 today
68 unstructured meshes
69 use
70 workers
71 schema:name Generalised Mesh and Adaptivity Techniques for Computational Fluid Dynamics
72 schema:pagination 398-409
73 schema:productId N73baa54aebd745718f91a0afaf8a6f3a
74 Nfb35044617d94c44b81280b7a7849ec4
75 schema:publisher Nb328368de10d4555bcadfd3252d75381
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040907688
77 https://doi.org/10.1007/978-3-662-10326-5_40
78 schema:sdDatePublished 2021-11-01T18:59
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N4bf1dbeff06c40b9aa97f1d685ec4e28
81 schema:url https://doi.org/10.1007/978-3-662-10326-5_40
82 sgo:license sg:explorer/license/
83 sgo:sdDataset chapters
84 rdf:type schema:Chapter
85 N01548d1996a143778e17f1c6056f1cbf schema:familyName Periaux
86 schema:givenName J.
87 rdf:type schema:Person
88 N127f37288cc04009a4dafd40f3270db3 schema:familyName Samuelsson
89 schema:givenName A.
90 rdf:type schema:Person
91 N22ea1af98b194da2bf5a5b060c6476c6 rdf:first N24140faaa7d345e1bec04de7fc5adc15
92 rdf:rest Nd29f9455fa054d2e878a8cfbeec63848
93 N24140faaa7d345e1bec04de7fc5adc15 schema:familyName Oñate
94 schema:givenName E.
95 rdf:type schema:Person
96 N3be43b89eeab4d13b48bc6c704d968d0 rdf:first sg:person.013270563126.27
97 rdf:rest rdf:nil
98 N4bf1dbeff06c40b9aa97f1d685ec4e28 schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N73baa54aebd745718f91a0afaf8a6f3a schema:name doi
101 schema:value 10.1007/978-3-662-10326-5_40
102 rdf:type schema:PropertyValue
103 Nb328368de10d4555bcadfd3252d75381 schema:name Springer Nature
104 rdf:type schema:Organisation
105 Nd29f9455fa054d2e878a8cfbeec63848 rdf:first N01548d1996a143778e17f1c6056f1cbf
106 rdf:rest Ne546edf1f3ba43a89b0679e900a3a99f
107 Ne3a8936b7f1c4c5aa44112bb34a9ce2b schema:isbn 978-3-662-10326-5
108 978-3-662-10328-9
109 schema:name The finite element method in the 1990’s
110 rdf:type schema:Book
111 Ne546edf1f3ba43a89b0679e900a3a99f rdf:first N127f37288cc04009a4dafd40f3270db3
112 rdf:rest rdf:nil
113 Nfb35044617d94c44b81280b7a7849ec4 schema:name dimensions_id
114 schema:value pub.1040907688
115 rdf:type schema:PropertyValue
116 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
117 schema:name Mathematical Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
120 schema:name Numerical and Computational Mathematics
121 rdf:type schema:DefinedTerm
122 sg:person.013270563126.27 schema:affiliation grid-institutes:grid.4827.9
123 schema:familyName Weatherill
124 schema:givenName N. P.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013270563126.27
126 rdf:type schema:Person
127 grid-institutes:grid.4827.9 schema:alternateName Institute for Numerical Methods in Engineering, University College of Swansea, Singleton Park, SA2 8PP, Swansea, UK
128 schema:name Institute for Numerical Methods in Engineering, University College of Swansea, Singleton Park, SA2 8PP, Swansea, UK
129 rdf:type schema:Organization
 




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


...