UDEC–AUTODYN Hybrid Modeling of a Large-Scale Underground Explosion Test View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-03

AUTHORS

X. F. Deng, S. G. Chen, J. B. Zhu, Y. X. Zhou, Z. Y. Zhao, J. Zhao

ABSTRACT

In this study, numerical modeling of a large-scale decoupled underground explosion test with 10 tons of TNT in Älvdalen, Sweden is performed by combining DEM and FEM with codes UDEC and AUTODYN. AUTODYN is adopted to model the explosion process, blast wave generation, and its action on the explosion chamber surfaces, while UDEC modeling is focused on shock wave propagation in jointed rock masses surrounding the explosion chamber. The numerical modeling results with the hybrid AUTODYN–UDEC method are compared with empirical estimations, purely AUTODYN modeling results, and the field test data. It is found that in terms of peak particle velocity, empirical estimations are much smaller than the measured data, while purely AUTODYN modeling results are larger than the test data. The UDEC–AUTODYN numerical modeling results agree well with the test data. Therefore, the UDEC–AUTODYN method is appropriate in modeling a large-scale explosive detonation in a closed space and the following wave propagation in jointed rock masses. It should be noted that joint mechanical and spatial properties adopted in UDEC–AUTODYN modeling are determined with empirical equations and available geological data, and they may not be sufficiently accurate. More... »

PAGES

737-747

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00603-014-0600-2

DOI

http://dx.doi.org/10.1007/s00603-014-0600-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040791621


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/2008/0914", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Resources Engineering and Extractive Metallurgy", 
        "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": {
          "name": [
            "China Tiesiju Civil Engineering Group Company, LTD., 230023, Hefei, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "X. F.", 
        "id": "sg:person.010615420676.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010615420676.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Southwest Jiaotong University", 
          "id": "https://www.grid.ac/institutes/grid.263901.f", 
          "name": [
            "MOE Key Laboratory of Transportation Tunnel Engineering, Southwest Jiaotong University, 610031, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "S. G.", 
        "id": "sg:person.07541230561.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07541230561.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hong Kong Polytechnic University", 
          "id": "https://www.grid.ac/institutes/grid.16890.36", 
          "name": [
            "Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhu", 
        "givenName": "J. B.", 
        "id": "sg:person.016237253576.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016237253576.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Defence Science and Technology Agency", 
          "id": "https://www.grid.ac/institutes/grid.453444.6", 
          "name": [
            "Defence Science and Technology Agency, 1 Depot Road # 03-01J, 109679, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Y. X.", 
        "id": "sg:person.012665073517.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665073517.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanyang Technological University", 
          "id": "https://www.grid.ac/institutes/grid.59025.3b", 
          "name": [
            "Nanyang Centre for Underground Space and School of Civil and Environmental Engineering, Nanyang Technological University (NTU), Nanyang Avenue, 639798, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Z. Y.", 
        "id": "sg:person.016121224465.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121224465.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Monash University", 
          "id": "https://www.grid.ac/institutes/grid.1002.3", 
          "name": [
            "Department of Civil Engineering, Monash University, Building 60, Clayton, 3800, Melbourne, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "J.", 
        "id": "sg:person.01040162137.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040162137.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0148-9062(97)00322-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000529002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0148-9062(95)00064-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001528890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nag.328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003208539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jb095ib07p11345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004711193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jappgeo.2011.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005127229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jappgeo.2012.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006307671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijrmms.2005.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008042802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s006030170024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009136106", 
          "https://doi.org/10.1007/s006030170024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tust.2008.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012399379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compgeo.2007.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018223015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0266-352x(98)00011-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019743061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1108/02644400410519848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020080167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00603-010-0106-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020469260", 
          "https://doi.org/10.1007/s00603-010-0106-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00603-010-0106-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020469260", 
          "https://doi.org/10.1007/s00603-010-0106-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0148-9062(96)00041-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021307149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2478.1986.tb00522.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027850942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compstruc.2005.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031209681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s006030200013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033047798", 
          "https://doi.org/10.1007/s006030200013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compgeo.2010.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034352091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00603-012-0352-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039713696", 
          "https://doi.org/10.1007/s00603-012-0352-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0267-7261(98)00030-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043358032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1365-1609(00)00013-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044478774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/b11077-18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048582318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0886-7798(00)00013-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049345202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17486020600834613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052178452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-08-040615-2.50016-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052446018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9410(1988)114:4(431)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057586669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)sc.1943-5576.0000038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057641402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00603-012-0286-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086118093", 
          "https://doi.org/10.1007/s00603-012-0286-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00603-012-0287-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086164830", 
          "https://doi.org/10.1007/s00603-012-0287-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-03", 
    "datePublishedReg": "2015-03-01", 
    "description": "In this study, numerical modeling of a large-scale decoupled underground explosion test with 10 tons of TNT in \u00c4lvdalen, Sweden is performed by combining DEM and FEM with codes UDEC and AUTODYN. AUTODYN is adopted to model the explosion process, blast wave generation, and its action on the explosion chamber surfaces, while UDEC modeling is focused on shock wave propagation in jointed rock masses surrounding the explosion chamber. The numerical modeling results with the hybrid AUTODYN\u2013UDEC method are compared with empirical estimations, purely AUTODYN modeling results, and the field test data. It is found that in terms of peak particle velocity, empirical estimations are much smaller than the measured data, while purely AUTODYN modeling results are larger than the test data. The UDEC\u2013AUTODYN numerical modeling results agree well with the test data. Therefore, the UDEC\u2013AUTODYN method is appropriate in modeling a large-scale explosive detonation in a closed space and the following wave propagation in jointed rock masses. It should be noted that joint mechanical and spatial properties adopted in UDEC\u2013AUTODYN modeling are determined with empirical equations and available geological data, and they may not be sufficiently accurate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00603-014-0600-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1052698", 
        "issn": [
          "0723-2632", 
          "1434-453X"
        ], 
        "name": "Rock Mechanics and Rock Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "name": "UDEC\u2013AUTODYN Hybrid Modeling of a Large-Scale Underground Explosion Test", 
    "pagination": "737-747", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c250b5a0fae40f6abcac6c72269aae3f9309daa01d155bf271925dbd9e2cc092"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00603-014-0600-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040791621"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00603-014-0600-2", 
      "https://app.dimensions.ai/details/publication/pub.1040791621"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:13", 
    "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_8675_00000482.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00603-014-0600-2"
  }
]
 

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/s00603-014-0600-2'

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/s00603-014-0600-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00603-014-0600-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00603-014-0600-2'


 

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

203 TRIPLES      21 PREDICATES      56 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00603-014-0600-2 schema:about anzsrc-for:09
2 anzsrc-for:0914
3 schema:author Nd40ebad6cb0d44059084ea991184c28b
4 schema:citation sg:pub.10.1007/s00603-010-0106-5
5 sg:pub.10.1007/s00603-012-0286-2
6 sg:pub.10.1007/s00603-012-0287-1
7 sg:pub.10.1007/s00603-012-0352-9
8 sg:pub.10.1007/s006030170024
9 sg:pub.10.1007/s006030200013
10 https://doi.org/10.1002/nag.328
11 https://doi.org/10.1016/0148-9062(95)00064-x
12 https://doi.org/10.1016/b978-0-08-040615-2.50016-2
13 https://doi.org/10.1016/j.compgeo.2007.01.001
14 https://doi.org/10.1016/j.compgeo.2010.12.002
15 https://doi.org/10.1016/j.compstruc.2005.04.003
16 https://doi.org/10.1016/j.ijrmms.2005.12.007
17 https://doi.org/10.1016/j.jappgeo.2011.01.012
18 https://doi.org/10.1016/j.jappgeo.2012.10.002
19 https://doi.org/10.1016/j.tust.2008.05.005
20 https://doi.org/10.1016/s0148-9062(96)00041-1
21 https://doi.org/10.1016/s0148-9062(97)00322-7
22 https://doi.org/10.1016/s0266-352x(98)00011-1
23 https://doi.org/10.1016/s0267-7261(98)00030-x
24 https://doi.org/10.1016/s0886-7798(00)00013-4
25 https://doi.org/10.1016/s1365-1609(00)00013-7
26 https://doi.org/10.1029/jb095ib07p11345
27 https://doi.org/10.1061/(asce)0733-9410(1988)114:4(431)
28 https://doi.org/10.1061/(asce)sc.1943-5576.0000038
29 https://doi.org/10.1080/17486020600834613
30 https://doi.org/10.1108/02644400410519848
31 https://doi.org/10.1111/j.1365-2478.1986.tb00522.x
32 https://doi.org/10.1201/b11077-18
33 schema:datePublished 2015-03
34 schema:datePublishedReg 2015-03-01
35 schema:description In this study, numerical modeling of a large-scale decoupled underground explosion test with 10 tons of TNT in Älvdalen, Sweden is performed by combining DEM and FEM with codes UDEC and AUTODYN. AUTODYN is adopted to model the explosion process, blast wave generation, and its action on the explosion chamber surfaces, while UDEC modeling is focused on shock wave propagation in jointed rock masses surrounding the explosion chamber. The numerical modeling results with the hybrid AUTODYN–UDEC method are compared with empirical estimations, purely AUTODYN modeling results, and the field test data. It is found that in terms of peak particle velocity, empirical estimations are much smaller than the measured data, while purely AUTODYN modeling results are larger than the test data. The UDEC–AUTODYN numerical modeling results agree well with the test data. Therefore, the UDEC–AUTODYN method is appropriate in modeling a large-scale explosive detonation in a closed space and the following wave propagation in jointed rock masses. It should be noted that joint mechanical and spatial properties adopted in UDEC–AUTODYN modeling are determined with empirical equations and available geological data, and they may not be sufficiently accurate.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf Nf87b55ef4eb44d5abf18fdcb9e063b9a
40 Nf8e011bd5f9e477fa6818f0bd29d8119
41 sg:journal.1052698
42 schema:name UDEC–AUTODYN Hybrid Modeling of a Large-Scale Underground Explosion Test
43 schema:pagination 737-747
44 schema:productId N13769d64a97f4414958831ef72eface8
45 N9ac9c70259a94c50954e4638410271b7
46 Nbd32bbf00506437f945c554b45787def
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040791621
48 https://doi.org/10.1007/s00603-014-0600-2
49 schema:sdDatePublished 2019-04-10T18:13
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N6d33932e890f44bd8c67afdf7b589f3e
52 schema:url http://link.springer.com/10.1007/s00603-014-0600-2
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N017b54978cd54aa3a9499e9ded19a7c1 rdf:first sg:person.016121224465.54
57 rdf:rest N695bb871d405467e89350b89fe12d28b
58 N13769d64a97f4414958831ef72eface8 schema:name readcube_id
59 schema:value c250b5a0fae40f6abcac6c72269aae3f9309daa01d155bf271925dbd9e2cc092
60 rdf:type schema:PropertyValue
61 N1de28f898e1f4e199486c5f1404876d7 rdf:first sg:person.016237253576.05
62 rdf:rest Ne6aa0cf6e4c14b728e8e8feeb337d7c2
63 N593e4bfda2fb4fb8b4322be601807026 rdf:first sg:person.07541230561.22
64 rdf:rest N1de28f898e1f4e199486c5f1404876d7
65 N695bb871d405467e89350b89fe12d28b rdf:first sg:person.01040162137.25
66 rdf:rest rdf:nil
67 N6d33932e890f44bd8c67afdf7b589f3e schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N9ac9c70259a94c50954e4638410271b7 schema:name dimensions_id
70 schema:value pub.1040791621
71 rdf:type schema:PropertyValue
72 Nbd32bbf00506437f945c554b45787def schema:name doi
73 schema:value 10.1007/s00603-014-0600-2
74 rdf:type schema:PropertyValue
75 Nd14cdd69e55a4d968ce2af84225cd505 schema:name China Tiesiju Civil Engineering Group Company, LTD., 230023, Hefei, China
76 rdf:type schema:Organization
77 Nd40ebad6cb0d44059084ea991184c28b rdf:first sg:person.010615420676.32
78 rdf:rest N593e4bfda2fb4fb8b4322be601807026
79 Ne6aa0cf6e4c14b728e8e8feeb337d7c2 rdf:first sg:person.012665073517.97
80 rdf:rest N017b54978cd54aa3a9499e9ded19a7c1
81 Nf87b55ef4eb44d5abf18fdcb9e063b9a schema:issueNumber 2
82 rdf:type schema:PublicationIssue
83 Nf8e011bd5f9e477fa6818f0bd29d8119 schema:volumeNumber 48
84 rdf:type schema:PublicationVolume
85 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
86 schema:name Engineering
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0914 schema:inDefinedTermSet anzsrc-for:
89 schema:name Resources Engineering and Extractive Metallurgy
90 rdf:type schema:DefinedTerm
91 sg:journal.1052698 schema:issn 0723-2632
92 1434-453X
93 schema:name Rock Mechanics and Rock Engineering
94 rdf:type schema:Periodical
95 sg:person.01040162137.25 schema:affiliation https://www.grid.ac/institutes/grid.1002.3
96 schema:familyName Zhao
97 schema:givenName J.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040162137.25
99 rdf:type schema:Person
100 sg:person.010615420676.32 schema:affiliation Nd14cdd69e55a4d968ce2af84225cd505
101 schema:familyName Deng
102 schema:givenName X. F.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010615420676.32
104 rdf:type schema:Person
105 sg:person.012665073517.97 schema:affiliation https://www.grid.ac/institutes/grid.453444.6
106 schema:familyName Zhou
107 schema:givenName Y. X.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012665073517.97
109 rdf:type schema:Person
110 sg:person.016121224465.54 schema:affiliation https://www.grid.ac/institutes/grid.59025.3b
111 schema:familyName Zhao
112 schema:givenName Z. Y.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016121224465.54
114 rdf:type schema:Person
115 sg:person.016237253576.05 schema:affiliation https://www.grid.ac/institutes/grid.16890.36
116 schema:familyName Zhu
117 schema:givenName J. B.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016237253576.05
119 rdf:type schema:Person
120 sg:person.07541230561.22 schema:affiliation https://www.grid.ac/institutes/grid.263901.f
121 schema:familyName Chen
122 schema:givenName S. G.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07541230561.22
124 rdf:type schema:Person
125 sg:pub.10.1007/s00603-010-0106-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020469260
126 https://doi.org/10.1007/s00603-010-0106-5
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s00603-012-0286-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086118093
129 https://doi.org/10.1007/s00603-012-0286-2
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s00603-012-0287-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086164830
132 https://doi.org/10.1007/s00603-012-0287-1
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s00603-012-0352-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039713696
135 https://doi.org/10.1007/s00603-012-0352-9
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s006030170024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009136106
138 https://doi.org/10.1007/s006030170024
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s006030200013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033047798
141 https://doi.org/10.1007/s006030200013
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1002/nag.328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003208539
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/0148-9062(95)00064-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001528890
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/b978-0-08-040615-2.50016-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052446018
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.compgeo.2007.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018223015
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.compgeo.2010.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034352091
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.compstruc.2005.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031209681
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.ijrmms.2005.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008042802
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.jappgeo.2011.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005127229
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.jappgeo.2012.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006307671
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.tust.2008.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012399379
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/s0148-9062(96)00041-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021307149
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/s0148-9062(97)00322-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000529002
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/s0266-352x(98)00011-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019743061
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s0267-7261(98)00030-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043358032
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0886-7798(00)00013-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049345202
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s1365-1609(00)00013-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044478774
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1029/jb095ib07p11345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004711193
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1061/(asce)0733-9410(1988)114:4(431) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057586669
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1061/(asce)sc.1943-5576.0000038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057641402
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1080/17486020600834613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052178452
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1108/02644400410519848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020080167
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1111/j.1365-2478.1986.tb00522.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027850942
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1201/b11077-18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048582318
188 rdf:type schema:CreativeWork
189 https://www.grid.ac/institutes/grid.1002.3 schema:alternateName Monash University
190 schema:name Department of Civil Engineering, Monash University, Building 60, Clayton, 3800, Melbourne, VIC, Australia
191 rdf:type schema:Organization
192 https://www.grid.ac/institutes/grid.16890.36 schema:alternateName Hong Kong Polytechnic University
193 schema:name Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
194 rdf:type schema:Organization
195 https://www.grid.ac/institutes/grid.263901.f schema:alternateName Southwest Jiaotong University
196 schema:name MOE Key Laboratory of Transportation Tunnel Engineering, Southwest Jiaotong University, 610031, Chengdu, China
197 rdf:type schema:Organization
198 https://www.grid.ac/institutes/grid.453444.6 schema:alternateName Defence Science and Technology Agency
199 schema:name Defence Science and Technology Agency, 1 Depot Road # 03-01J, 109679, Singapore, Singapore
200 rdf:type schema:Organization
201 https://www.grid.ac/institutes/grid.59025.3b schema:alternateName Nanyang Technological University
202 schema:name Nanyang Centre for Underground Space and School of Civil and Environmental Engineering, Nanyang Technological University (NTU), Nanyang Avenue, 639798, Singapore, Singapore
203 rdf:type schema:Organization
 




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


...