Solving 3D boundary element problems using constrained iterative approach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-09

AUTHORS

Frantz Maerten, Laurent Maerten, Michele Cooke

ABSTRACT

Some major challenges for geophysicists and structural geologists using three-dimensional boundary element method codes (3D-BEM) are: (1) reducing the amount of memory required to solve large and dense systems and (2) incorporation of inequality constraints such as traction inequality constraints (TIC) and displacement inequality constraints (DIC). The latter serves two purposes. First, for example, inequality constraints can be used to simulate frictional slip (using TIC). Second, these constraints can prevent element interpenetration while allowing opening mode (using DIC). We have developed a method that simultaneously incorporates both types of functionality of the inequality constraints. We show that the use of an appropriate iterative solver not only avoids the allocation of significant memory for solving the system (allowing very large model computation and simplifying parallelization on multi-core processors), but also admits interesting features such as natural incorporation of TICs and DICs. Compared to other techniques of contact management (e.g., Lagrange multipliers, penalty method, or complementarity problem), this new simple methodology, which does not use any incremental trial-and-error procedures, brings more flexibility, while making the system more stable and less subject to round-off errors without any computational overhead. We provide validations and comparisons of the inequality constraints implementation using 2D analytical and numerical solutions. More... »

PAGES

551-564

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10596-009-9170-x

DOI

http://dx.doi.org/10.1007/s10596-009-9170-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029939745


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/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "G\u00e9osciences Montpellier", 
          "id": "https://www.grid.ac/institutes/grid.462743.0", 
          "name": [
            "IGEOSS Europe, Parc Euromedecine, 340 rue Louis Pasteur, 34790, Grabels, France", 
            "University of Montpellier 2, Geosciences Montpellier, 34090, Montpellier, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maerten", 
        "givenName": "Frantz", 
        "id": "sg:person.012004347767.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012004347767.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "IGEOSS Europe, Parc Euromedecine, 340 rue Louis Pasteur, 34790, Grabels, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maerten", 
        "givenName": "Laurent", 
        "id": "sg:person.013616113657.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013616113657.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Massachusetts Amherst", 
          "id": "https://www.grid.ac/institutes/grid.266683.f", 
          "name": [
            "230 Morill Science Center, Dept. of Geosciences, University of Massachusetts, Amherst, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cooke", 
        "givenName": "Michele", 
        "id": "sg:person.016010351171.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016010351171.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s006070050015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001171166", 
          "https://doi.org/10.1007/s006070050015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8141(00)00092-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001248258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9991(87)90140-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003548487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.1620210107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005067789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/0120030181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006021080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000jb900264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007036857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8141(97)00015-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011284941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jb091ib09p09452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011616617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enganabound.2009.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013352311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(76)90018-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014195096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(76)90018-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014195096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-246x.2003.01968.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017319717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jb00680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018174741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00126985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019318744", 
          "https://doi.org/10.1007/bf00126985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00126985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019318744", 
          "https://doi.org/10.1007/bf00126985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(92)90066-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021279863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(92)90066-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021279863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001jb000542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021710259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90162-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022423870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90162-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022423870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8141(97)00002-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023446612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90021-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024648561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(88)90021-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024648561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(91)90347-o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026461171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(91)90347-o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026461171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003je002144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031848299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9991(85)90002-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032552752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g25101a.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032834722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8141(96)00097-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040209232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00607-002-1469-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042413514", 
          "https://doi.org/10.1007/s00607-002-1469-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0013-7944(00)00034-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045028406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045630631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(86)90095-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047461438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(86)90095-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047461438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb004997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047856310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(94)90134-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048240692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(94)90134-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048240692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001580050147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051010111", 
          "https://doi.org/10.1007/s001580050147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001580050147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051010111", 
          "https://doi.org/10.1007/s001580050147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001jd001274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052271542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004jb002968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052853728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.238.4830.1105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062534951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1034116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062863418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2495/be080201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098488698"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-09", 
    "datePublishedReg": "2010-09-01", 
    "description": "Some major challenges for geophysicists and structural geologists using three-dimensional boundary element method codes (3D-BEM) are: (1) reducing the amount of memory required to solve large and dense systems and (2) incorporation of inequality constraints such as traction inequality constraints (TIC) and displacement inequality constraints (DIC). The latter serves two purposes. First, for example, inequality constraints can be used to simulate frictional slip (using TIC). Second, these constraints can prevent element interpenetration while allowing opening mode (using DIC). We have developed a method that simultaneously incorporates both types of functionality of the inequality constraints. We show that the use of an appropriate iterative solver not only avoids the allocation of significant memory for solving the system (allowing very large model computation and simplifying parallelization on multi-core processors), but also admits interesting features such as natural incorporation of TICs and DICs. Compared to other techniques of contact management (e.g., Lagrange multipliers, penalty method, or complementarity problem), this new simple methodology, which does not use any incremental trial-and-error procedures, brings more flexibility, while making the system more stable and less subject to round-off errors without any computational overhead. We provide validations and comparisons of the inequality constraints implementation using 2D analytical and numerical solutions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10596-009-9170-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1270275", 
        "issn": [
          "1420-0597", 
          "1573-1499"
        ], 
        "name": "Computational Geosciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Solving 3D boundary element problems using constrained iterative approach", 
    "pagination": "551-564", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8ea10793e2ea37db03d53e58eaad26f5a5a3191bec81410ab49526aa8c840385"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10596-009-9170-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029939745"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10596-009-9170-x", 
      "https://app.dimensions.ai/details/publication/pub.1029939745"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:26", 
    "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/v90/0000000373_0000000373/records_13069_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10596-009-9170-x"
  }
]
 

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/s10596-009-9170-x'

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/s10596-009-9170-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10596-009-9170-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10596-009-9170-x'


 

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

190 TRIPLES      21 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10596-009-9170-x schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author N3b38fabceb3945a0a6c52a495238372f
4 schema:citation sg:pub.10.1007/bf00126985
5 sg:pub.10.1007/s001580050147
6 sg:pub.10.1007/s00607-002-1469-6
7 sg:pub.10.1007/s006070050015
8 https://doi.org/10.1002/nme.1620210107
9 https://doi.org/10.1002/nme.707
10 https://doi.org/10.1016/0021-9991(85)90002-6
11 https://doi.org/10.1016/0021-9991(87)90140-9
12 https://doi.org/10.1016/0045-7825(76)90018-9
13 https://doi.org/10.1016/0045-7825(86)90095-2
14 https://doi.org/10.1016/0045-7949(88)90021-1
15 https://doi.org/10.1016/0045-7949(88)90162-9
16 https://doi.org/10.1016/0045-7949(91)90347-o
17 https://doi.org/10.1016/0191-8141(92)90066-6
18 https://doi.org/10.1016/0191-8141(94)90134-1
19 https://doi.org/10.1016/j.enganabound.2009.10.016
20 https://doi.org/10.1016/s0013-7944(00)00034-5
21 https://doi.org/10.1016/s0191-8141(00)00092-4
22 https://doi.org/10.1016/s0191-8141(96)00097-1
23 https://doi.org/10.1016/s0191-8141(97)00002-3
24 https://doi.org/10.1016/s0191-8141(97)00015-1
25 https://doi.org/10.1029/2000jb900264
26 https://doi.org/10.1029/2001jb000542
27 https://doi.org/10.1029/2001jd001274
28 https://doi.org/10.1029/2003je002144
29 https://doi.org/10.1029/2004jb002968
30 https://doi.org/10.1029/2007jb004997
31 https://doi.org/10.1029/97jb00680
32 https://doi.org/10.1029/jb091ib09p09452
33 https://doi.org/10.1046/j.1365-246x.2003.01968.x
34 https://doi.org/10.1126/science.238.4830.1105
35 https://doi.org/10.1130/g25101a.1
36 https://doi.org/10.1137/1034116
37 https://doi.org/10.1785/0120030181
38 https://doi.org/10.2495/be080201
39 schema:datePublished 2010-09
40 schema:datePublishedReg 2010-09-01
41 schema:description Some major challenges for geophysicists and structural geologists using three-dimensional boundary element method codes (3D-BEM) are: (1) reducing the amount of memory required to solve large and dense systems and (2) incorporation of inequality constraints such as traction inequality constraints (TIC) and displacement inequality constraints (DIC). The latter serves two purposes. First, for example, inequality constraints can be used to simulate frictional slip (using TIC). Second, these constraints can prevent element interpenetration while allowing opening mode (using DIC). We have developed a method that simultaneously incorporates both types of functionality of the inequality constraints. We show that the use of an appropriate iterative solver not only avoids the allocation of significant memory for solving the system (allowing very large model computation and simplifying parallelization on multi-core processors), but also admits interesting features such as natural incorporation of TICs and DICs. Compared to other techniques of contact management (e.g., Lagrange multipliers, penalty method, or complementarity problem), this new simple methodology, which does not use any incremental trial-and-error procedures, brings more flexibility, while making the system more stable and less subject to round-off errors without any computational overhead. We provide validations and comparisons of the inequality constraints implementation using 2D analytical and numerical solutions.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N63ff0d5748034fef9306c2ce9d71fe94
46 N9a1fec76e6464c11b5ea923df99e0b23
47 sg:journal.1270275
48 schema:name Solving 3D boundary element problems using constrained iterative approach
49 schema:pagination 551-564
50 schema:productId N204ad6b0ab5a4afba3b65f9718ca2e7a
51 N3d17056aaf584cc291cd39cedb7e23fa
52 Nd7beb424a2464707a8c958712a86277f
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029939745
54 https://doi.org/10.1007/s10596-009-9170-x
55 schema:sdDatePublished 2019-04-11T14:26
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nd543634e03884ee9b46867e087b442b4
58 schema:url http://link.springer.com/10.1007%2Fs10596-009-9170-x
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N188ef7f2eb9549509c0112298b80c4ae schema:name IGEOSS Europe, Parc Euromedecine, 340 rue Louis Pasteur, 34790, Grabels, France
63 rdf:type schema:Organization
64 N204ad6b0ab5a4afba3b65f9718ca2e7a schema:name dimensions_id
65 schema:value pub.1029939745
66 rdf:type schema:PropertyValue
67 N3b38fabceb3945a0a6c52a495238372f rdf:first sg:person.012004347767.51
68 rdf:rest N7290924f49cf4263b07d1b602d85cc8c
69 N3d17056aaf584cc291cd39cedb7e23fa schema:name doi
70 schema:value 10.1007/s10596-009-9170-x
71 rdf:type schema:PropertyValue
72 N63ff0d5748034fef9306c2ce9d71fe94 schema:volumeNumber 14
73 rdf:type schema:PublicationVolume
74 N7290924f49cf4263b07d1b602d85cc8c rdf:first sg:person.013616113657.47
75 rdf:rest Nebc6c248f6524225a37745912ed8bef0
76 N9a1fec76e6464c11b5ea923df99e0b23 schema:issueNumber 4
77 rdf:type schema:PublicationIssue
78 Nd543634e03884ee9b46867e087b442b4 schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 Nd7beb424a2464707a8c958712a86277f schema:name readcube_id
81 schema:value 8ea10793e2ea37db03d53e58eaad26f5a5a3191bec81410ab49526aa8c840385
82 rdf:type schema:PropertyValue
83 Nebc6c248f6524225a37745912ed8bef0 rdf:first sg:person.016010351171.29
84 rdf:rest rdf:nil
85 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
86 schema:name Mathematical Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
89 schema:name Numerical and Computational Mathematics
90 rdf:type schema:DefinedTerm
91 sg:journal.1270275 schema:issn 1420-0597
92 1573-1499
93 schema:name Computational Geosciences
94 rdf:type schema:Periodical
95 sg:person.012004347767.51 schema:affiliation https://www.grid.ac/institutes/grid.462743.0
96 schema:familyName Maerten
97 schema:givenName Frantz
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012004347767.51
99 rdf:type schema:Person
100 sg:person.013616113657.47 schema:affiliation N188ef7f2eb9549509c0112298b80c4ae
101 schema:familyName Maerten
102 schema:givenName Laurent
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013616113657.47
104 rdf:type schema:Person
105 sg:person.016010351171.29 schema:affiliation https://www.grid.ac/institutes/grid.266683.f
106 schema:familyName Cooke
107 schema:givenName Michele
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016010351171.29
109 rdf:type schema:Person
110 sg:pub.10.1007/bf00126985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019318744
111 https://doi.org/10.1007/bf00126985
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/s001580050147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051010111
114 https://doi.org/10.1007/s001580050147
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s00607-002-1469-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042413514
117 https://doi.org/10.1007/s00607-002-1469-6
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s006070050015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001171166
120 https://doi.org/10.1007/s006070050015
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1002/nme.1620210107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005067789
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1002/nme.707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045630631
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/0021-9991(85)90002-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032552752
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/0021-9991(87)90140-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003548487
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/0045-7825(76)90018-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014195096
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/0045-7825(86)90095-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047461438
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/0045-7949(88)90021-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024648561
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/0045-7949(88)90162-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022423870
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/0045-7949(91)90347-o schema:sameAs https://app.dimensions.ai/details/publication/pub.1026461171
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/0191-8141(92)90066-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021279863
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/0191-8141(94)90134-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048240692
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.enganabound.2009.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013352311
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0013-7944(00)00034-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045028406
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0191-8141(00)00092-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001248258
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0191-8141(96)00097-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040209232
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/s0191-8141(97)00002-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023446612
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0191-8141(97)00015-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011284941
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1029/2000jb900264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007036857
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1029/2001jb000542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021710259
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1029/2001jd001274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052271542
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1029/2003je002144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031848299
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1029/2004jb002968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052853728
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1029/2007jb004997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047856310
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1029/97jb00680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018174741
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1029/jb091ib09p09452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011616617
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1046/j.1365-246x.2003.01968.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017319717
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1126/science.238.4830.1105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062534951
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1130/g25101a.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032834722
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1137/1034116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062863418
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1785/0120030181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006021080
181 rdf:type schema:CreativeWork
182 https://doi.org/10.2495/be080201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098488698
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.266683.f schema:alternateName University of Massachusetts Amherst
185 schema:name 230 Morill Science Center, Dept. of Geosciences, University of Massachusetts, Amherst, MA, USA
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.462743.0 schema:alternateName Géosciences Montpellier
188 schema:name IGEOSS Europe, Parc Euromedecine, 340 rue Louis Pasteur, 34790, Grabels, France
189 University of Montpellier 2, Geosciences Montpellier, 34090, Montpellier, France
190 rdf:type schema:Organization
 




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


...