Modeling mixed-mode fracture propagation in isotropic elastic three dimensional solid View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-01

AUTHORS

Chunfang Meng, Frantz Maerten, David D. Pollard

ABSTRACT

A planar fracture when subjected to sufficient tensile and shear stresses will propagate off-plane, in what is known as mixed-mode propagation. Predicting the fracture path relies on an accurate calculation of the near-tip stress and an appropriate propagation criterion. The new criterion we present scales the propagation magnitude and direction with the near-tip tensile stress in the form of vectors that originate from the fracture tip-line. Boundary element method (BEM) models enable us to calculate the near-tip stress field of an arbitrary fracture. We use analytical Eshelby’s solution that evaluates near-tip stress of an ellipsoidal fracture to validate the BEM results. We feed the near-tip stress to the propagation criterion to determine the propagation vectors, and grow the BEM mesh by adding new tip-elements whose size and orientation are given by the propagation vectors. Then, we feed the new mesh back to the BEM to calculate the new near-tip stress. By running the BEM and the propagation criterion in a loop, we are able to model 3D fracture propagation. More... »

PAGES

45-57

Journal

TITLE

International Journal of Fracture

ISSUE

1-2

VOLUME

179

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10704-012-9771-6

DOI

http://dx.doi.org/10.1007/s10704-012-9771-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023275263


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/2008/0403", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Stanford University", 
          "id": "https://www.grid.ac/institutes/grid.168010.e", 
          "name": [
            "Department of Geological and Environmental Sciences, Stanford University, 94305-2115, Stanford, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meng", 
        "givenName": "Chunfang", 
        "id": "sg:person.010574361461.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010574361461.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Schlumberger (France)", 
          "id": "https://www.grid.ac/institutes/grid.410410.0", 
          "name": [
            "IGEOSS, Schlumberger, Montpelier, 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": {
          "alternateName": "Stanford University", 
          "id": "https://www.grid.ac/institutes/grid.168010.e", 
          "name": [
            "Department of Geological and Environmental Sciences, Stanford University, 94305-2115, Stanford, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pollard", 
        "givenName": "David D.", 
        "id": "sg:person.013536034507.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013536034507.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1130/0016-7606(1982)93<1291:faiode>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002311075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10704-008-9307-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003851297", 
          "https://doi.org/10.1007/s10704-008-9307-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0207(20000520)48:2<211::aid-nme875>3.0.co;2-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005095696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(93)90129-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009357498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(93)90129-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009357498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1959.0173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009560286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95jb02507", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011005103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011988371", 
          "https://doi.org/10.1038/nature08862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011988371", 
          "https://doi.org/10.1038/nature08862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(91)90046-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013296688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0191-8141(91)90046-l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013296688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-7944(69)90010-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015016858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0013-7944(69)90010-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015016858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00466-007-0210-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018010444", 
          "https://doi.org/10.1007/s00466-007-0210-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00466-007-0210-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018010444", 
          "https://doi.org/10.1007/s00466-007-0210-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-3489-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135097", 
          "https://doi.org/10.1007/978-94-009-3489-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-3489-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135097", 
          "https://doi.org/10.1007/978-94-009-3489-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00016267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018559670", 
          "https://doi.org/10.1007/bf00016267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00016267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018559670", 
          "https://doi.org/10.1007/bf00016267"
        ], 
        "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/10.1046/j.1460-2695.2002.00413.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024339664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00012619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825552", 
          "https://doi.org/10.1007/bf00012619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00012619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825552", 
          "https://doi.org/10.1007/bf00012619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10596-009-9170-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029939745", 
          "https://doi.org/10.1007/s10596-009-9170-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10596-009-9170-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029939745", 
          "https://doi.org/10.1007/s10596-009-9170-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10596-009-9170-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029939745", 
          "https://doi.org/10.1007/s10596-009-9170-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb005284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032975786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00024-008-0315-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033631795", 
          "https://doi.org/10.1007/s00024-008-0315-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jb01587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034977954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cageo.2011.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038487944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10704-010-9476-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038973419", 
          "https://doi.org/10.1007/s10704-010-9476-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10704-010-9476-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038973419", 
          "https://doi.org/10.1007/s10704-010-9476-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1020770506931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040115944", 
          "https://doi.org/10.1023/a:1020770506931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1957.0133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052645938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.3167130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062105052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.3656897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062136979"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-01", 
    "datePublishedReg": "2013-01-01", 
    "description": "A planar fracture when subjected to sufficient tensile and shear stresses will propagate off-plane, in what is known as mixed-mode propagation. Predicting the fracture path relies on an accurate calculation of the near-tip stress and an appropriate propagation criterion. The new criterion we present scales the propagation magnitude and direction with the near-tip tensile stress in the form of vectors that originate from the fracture tip-line. Boundary element method (BEM) models enable us to calculate the near-tip stress field of an arbitrary fracture. We use analytical Eshelby\u2019s solution that evaluates near-tip stress of an ellipsoidal fracture to validate the BEM results. We feed the near-tip stress to the propagation criterion to determine the propagation vectors, and grow the BEM mesh by adding new tip-elements whose size and orientation are given by the propagation vectors. Then, we feed the new mesh back to the BEM to calculate the new near-tip stress. By running the BEM and the propagation criterion in a loop, we are able to model 3D fracture propagation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10704-012-9771-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1124104", 
        "issn": [
          "0376-9429", 
          "1573-2673"
        ], 
        "name": "International Journal of Fracture", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "179"
      }
    ], 
    "name": "Modeling mixed-mode fracture propagation in isotropic elastic three dimensional solid", 
    "pagination": "45-57", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6ee3712927513bf1a8bd4d55f8b419dc0e40b4a23b73993c908e562c3be613aa"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10704-012-9771-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023275263"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10704-012-9771-6", 
      "https://app.dimensions.ai/details/publication/pub.1023275263"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:08", 
    "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_8659_00000488.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10704-012-9771-6"
  }
]
 

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/s10704-012-9771-6'

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/s10704-012-9771-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10704-012-9771-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10704-012-9771-6'


 

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

164 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10704-012-9771-6 schema:about anzsrc-for:04
2 anzsrc-for:0403
3 schema:author N715d195e56af4ab9b6f2cb0c9110fc06
4 schema:citation sg:pub.10.1007/978-94-009-3489-4
5 sg:pub.10.1007/bf00012619
6 sg:pub.10.1007/bf00016267
7 sg:pub.10.1007/bf00126985
8 sg:pub.10.1007/s00024-008-0315-y
9 sg:pub.10.1007/s00466-007-0210-x
10 sg:pub.10.1007/s10596-009-9170-x
11 sg:pub.10.1007/s10704-008-9307-2
12 sg:pub.10.1007/s10704-010-9476-7
13 sg:pub.10.1023/a:1020770506931
14 sg:pub.10.1038/nature08862
15 https://doi.org/10.1002/(sici)1097-0207(20000520)48:2<211::aid-nme875>3.0.co;2-a
16 https://doi.org/10.1016/0013-7944(69)90010-1
17 https://doi.org/10.1016/0191-8141(91)90046-l
18 https://doi.org/10.1016/0191-8141(93)90129-x
19 https://doi.org/10.1016/j.cageo.2011.07.008
20 https://doi.org/10.1029/2007jb005284
21 https://doi.org/10.1029/95jb02507
22 https://doi.org/10.1029/97jb01587
23 https://doi.org/10.1046/j.1460-2695.2002.00413.x
24 https://doi.org/10.1098/rspa.1957.0133
25 https://doi.org/10.1098/rspa.1959.0173
26 https://doi.org/10.1115/1.3167130
27 https://doi.org/10.1115/1.3656897
28 https://doi.org/10.1130/0016-7606(1982)93<1291:faiode>2.0.co;2
29 schema:datePublished 2013-01
30 schema:datePublishedReg 2013-01-01
31 schema:description A planar fracture when subjected to sufficient tensile and shear stresses will propagate off-plane, in what is known as mixed-mode propagation. Predicting the fracture path relies on an accurate calculation of the near-tip stress and an appropriate propagation criterion. The new criterion we present scales the propagation magnitude and direction with the near-tip tensile stress in the form of vectors that originate from the fracture tip-line. Boundary element method (BEM) models enable us to calculate the near-tip stress field of an arbitrary fracture. We use analytical Eshelby’s solution that evaluates near-tip stress of an ellipsoidal fracture to validate the BEM results. We feed the near-tip stress to the propagation criterion to determine the propagation vectors, and grow the BEM mesh by adding new tip-elements whose size and orientation are given by the propagation vectors. Then, we feed the new mesh back to the BEM to calculate the new near-tip stress. By running the BEM and the propagation criterion in a loop, we are able to model 3D fracture propagation.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N1e075d1bf4614804bba7c151b466dbaf
36 N23269c44a9a44b20964014cf5574b213
37 sg:journal.1124104
38 schema:name Modeling mixed-mode fracture propagation in isotropic elastic three dimensional solid
39 schema:pagination 45-57
40 schema:productId N33537910c2324d3bb6675046497606ff
41 N41c06d5b64154fd4bfe8b48c5f2b517b
42 N6d12dbe9de0143949b8a3418ab8382e2
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023275263
44 https://doi.org/10.1007/s10704-012-9771-6
45 schema:sdDatePublished 2019-04-10T13:08
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Nc8bcb056f4424ab28775ec3f7b86d398
48 schema:url http://link.springer.com/10.1007/s10704-012-9771-6
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N07e25ed11ad348f0be1ffb2234850b4e rdf:first sg:person.012004347767.51
53 rdf:rest N2067ad9e63514f089d0977ab8e9180fc
54 N1e075d1bf4614804bba7c151b466dbaf schema:volumeNumber 179
55 rdf:type schema:PublicationVolume
56 N2067ad9e63514f089d0977ab8e9180fc rdf:first sg:person.013536034507.96
57 rdf:rest rdf:nil
58 N23269c44a9a44b20964014cf5574b213 schema:issueNumber 1-2
59 rdf:type schema:PublicationIssue
60 N33537910c2324d3bb6675046497606ff schema:name dimensions_id
61 schema:value pub.1023275263
62 rdf:type schema:PropertyValue
63 N41c06d5b64154fd4bfe8b48c5f2b517b schema:name readcube_id
64 schema:value 6ee3712927513bf1a8bd4d55f8b419dc0e40b4a23b73993c908e562c3be613aa
65 rdf:type schema:PropertyValue
66 N6d12dbe9de0143949b8a3418ab8382e2 schema:name doi
67 schema:value 10.1007/s10704-012-9771-6
68 rdf:type schema:PropertyValue
69 N715d195e56af4ab9b6f2cb0c9110fc06 rdf:first sg:person.010574361461.99
70 rdf:rest N07e25ed11ad348f0be1ffb2234850b4e
71 Nc8bcb056f4424ab28775ec3f7b86d398 schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
74 schema:name Earth Sciences
75 rdf:type schema:DefinedTerm
76 anzsrc-for:0403 schema:inDefinedTermSet anzsrc-for:
77 schema:name Geology
78 rdf:type schema:DefinedTerm
79 sg:journal.1124104 schema:issn 0376-9429
80 1573-2673
81 schema:name International Journal of Fracture
82 rdf:type schema:Periodical
83 sg:person.010574361461.99 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
84 schema:familyName Meng
85 schema:givenName Chunfang
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010574361461.99
87 rdf:type schema:Person
88 sg:person.012004347767.51 schema:affiliation https://www.grid.ac/institutes/grid.410410.0
89 schema:familyName Maerten
90 schema:givenName Frantz
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012004347767.51
92 rdf:type schema:Person
93 sg:person.013536034507.96 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
94 schema:familyName Pollard
95 schema:givenName David D.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013536034507.96
97 rdf:type schema:Person
98 sg:pub.10.1007/978-94-009-3489-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018135097
99 https://doi.org/10.1007/978-94-009-3489-4
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/bf00012619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024825552
102 https://doi.org/10.1007/bf00012619
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/bf00016267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018559670
105 https://doi.org/10.1007/bf00016267
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/bf00126985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019318744
108 https://doi.org/10.1007/bf00126985
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/s00024-008-0315-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1033631795
111 https://doi.org/10.1007/s00024-008-0315-y
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/s00466-007-0210-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018010444
114 https://doi.org/10.1007/s00466-007-0210-x
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s10596-009-9170-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029939745
117 https://doi.org/10.1007/s10596-009-9170-x
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s10704-008-9307-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003851297
120 https://doi.org/10.1007/s10704-008-9307-2
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s10704-010-9476-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038973419
123 https://doi.org/10.1007/s10704-010-9476-7
124 rdf:type schema:CreativeWork
125 sg:pub.10.1023/a:1020770506931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040115944
126 https://doi.org/10.1023/a:1020770506931
127 rdf:type schema:CreativeWork
128 sg:pub.10.1038/nature08862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011988371
129 https://doi.org/10.1038/nature08862
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/(sici)1097-0207(20000520)48:2<211::aid-nme875>3.0.co;2-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1005095696
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/0013-7944(69)90010-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015016858
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/0191-8141(91)90046-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1013296688
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/0191-8141(93)90129-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009357498
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.cageo.2011.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038487944
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1029/2007jb005284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032975786
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1029/95jb02507 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011005103
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1029/97jb01587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034977954
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1046/j.1460-2695.2002.00413.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024339664
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1098/rspa.1957.0133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052645938
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1098/rspa.1959.0173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009560286
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1115/1.3167130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062105052
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1115/1.3656897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062136979
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1130/0016-7606(1982)93<1291:faiode>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002311075
158 rdf:type schema:CreativeWork
159 https://www.grid.ac/institutes/grid.168010.e schema:alternateName Stanford University
160 schema:name Department of Geological and Environmental Sciences, Stanford University, 94305-2115, Stanford, CA, USA
161 rdf:type schema:Organization
162 https://www.grid.ac/institutes/grid.410410.0 schema:alternateName Schlumberger (France)
163 schema:name IGEOSS, Schlumberger, Montpelier, France
164 rdf:type schema:Organization
 




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


...