Experimental investigation on compaction and Atterberg limits characteristics of soils: Aspects of clay content using artificial mixtures View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02

AUTHORS

Kunyong Zhang, Charkley Nai Frederick

ABSTRACT

The influence of different proportions of clay minerals on the moisture density relationship and index properties of clay soils are not clearly understood because of the different factors that come into play in natural soil formation. This study used 11 different remolded samples prepared by combining double mixtures of commercially available powdered kaolinite, montmorillonite and quartz in proportions of 30%, 50%, 70% and 100% based on dry unit weight to investigate the relationship between different proportions of clay minerals with index properties and compaction characteristics of clay soils. The results described the influence of different proportions of clay minerals on the liquid limit, plastic limit and plasticity index measured using the fall cone penetration test. Also, the variation of maximum dry density and optimum moisture content with different clay mineral proportions has been analyzed. In addition, equations are presented with significant correlations to show the relationship between Atterberg limits, compaction parameters and the proportion of clay minerals. Knowledge on the effect of the different clay minerals on the moisture density relationship and index properties can be used to predict the behavior of compacted clay soils encountered in engineering practices and reduce the time and effort needed for assessing the suitability of clay soils and clay liners for engineering use. More... »

PAGES

546-553

References to SciGraph publications

  • 2016-04. Prediction of Compaction Characteristics of Fine-Grained Soils Using Consistency Limits in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • Journal

    TITLE

    KSCE Journal of Civil Engineering

    ISSUE

    2

    VOLUME

    21

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12205-017-1580-z

    DOI

    http://dx.doi.org/10.1007/s12205-017-1580-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007156848


    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/2008/0503", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Soil Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Hohai University", 
              "id": "https://www.grid.ac/institutes/grid.257065.3", 
              "name": [
                "Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, 210098, Nanjing, China", 
                "Geotechnical Research Institute, Hohai University, 210098, Nanjing, Jiangsu, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Kunyong", 
            "id": "sg:person.015472370137.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015472370137.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hohai University", 
              "id": "https://www.grid.ac/institutes/grid.257065.3", 
              "name": [
                "Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, 210098, Nanjing, China", 
                "Geotechnical Research Institute, Hohai University, 210098, Nanjing, Jiangsu, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Frederick", 
            "givenName": "Charkley Nai", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.3208/sandf.38.247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003653342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t92-056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021123349"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3208/sandf.47.887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024619645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t92-042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032829462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13369-015-1918-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035906990", 
              "https://doi.org/10.1007/s13369-015-1918-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13369-015-1918-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035906990", 
              "https://doi.org/10.1007/s13369-015-1918-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.trgeo.2014.09.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041797871"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t99-068", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045422387"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t98-066", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048546757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t08-022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048850837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.clay.2011.04.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050801258"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/t96-104-324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053146786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1061/(asce)1090-0241(1998)124:9(907)", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057617972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1061/(asce)1090-0241(2003)129:8(774)", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057618720"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1061/(asce)gt.1943-5606.0000022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057632012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1061/(asce)gt.1943-5606.0000639", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057632609"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.12989/gae.2010.2.1.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064860555"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.12989/gae.2014.6.4.403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064860670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/gtj10124j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067614620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/gtj10411j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067615153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/gtj10521j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067615276"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/geot.1981.31.2.181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068209867"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/geot.1994.44.2.217", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068210580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/geot.1997.47.2.363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068210793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/geot.2002.52.10.761", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068211199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/geot.2003.53.7.669", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068211360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1680/grim.2005.9.1.17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068212596"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1520/stp39322s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1088496512"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-02", 
        "datePublishedReg": "2017-02-01", 
        "description": "The influence of different proportions of clay minerals on the moisture density relationship and index properties of clay soils are not clearly understood because of the different factors that come into play in natural soil formation. This study used 11 different remolded samples prepared by combining double mixtures of commercially available powdered kaolinite, montmorillonite and quartz in proportions of 30%, 50%, 70% and 100% based on dry unit weight to investigate the relationship between different proportions of clay minerals with index properties and compaction characteristics of clay soils. The results described the influence of different proportions of clay minerals on the liquid limit, plastic limit and plasticity index measured using the fall cone penetration test. Also, the variation of maximum dry density and optimum moisture content with different clay mineral proportions has been analyzed. In addition, equations are presented with significant correlations to show the relationship between Atterberg limits, compaction parameters and the proportion of clay minerals. Knowledge on the effect of the different clay minerals on the moisture density relationship and index properties can be used to predict the behavior of compacted clay soils encountered in engineering practices and reduce the time and effort needed for assessing the suitability of clay soils and clay liners for engineering use.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s12205-017-1580-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136365", 
            "issn": [
              "1226-7988", 
              "1976-3808"
            ], 
            "name": "KSCE Journal of Civil Engineering", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "21"
          }
        ], 
        "name": "Experimental investigation on compaction and Atterberg limits characteristics of soils: Aspects of clay content using artificial mixtures", 
        "pagination": "546-553", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "22171bb7ef54b67d28105796383e4978817d6a2a85bba47a76dde904d0e81fa0"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12205-017-1580-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1007156848"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12205-017-1580-z", 
          "https://app.dimensions.ai/details/publication/pub.1007156848"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:30", 
        "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/v90/0000000346_0000000346/records_99803_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs12205-017-1580-z"
      }
    ]
     

    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/s12205-017-1580-z'

    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/s12205-017-1580-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12205-017-1580-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12205-017-1580-z'


     

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

    150 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12205-017-1580-z schema:about anzsrc-for:05
    2 anzsrc-for:0503
    3 schema:author N9c8373cdb1a449909960e7c5465c9c14
    4 schema:citation sg:pub.10.1007/s13369-015-1918-0
    5 https://doi.org/10.1016/j.clay.2011.04.021
    6 https://doi.org/10.1016/j.trgeo.2014.09.002
    7 https://doi.org/10.1061/(asce)1090-0241(1998)124:9(907)
    8 https://doi.org/10.1061/(asce)1090-0241(2003)129:8(774)
    9 https://doi.org/10.1061/(asce)gt.1943-5606.0000022
    10 https://doi.org/10.1061/(asce)gt.1943-5606.0000639
    11 https://doi.org/10.1139/t08-022
    12 https://doi.org/10.1139/t92-042
    13 https://doi.org/10.1139/t92-056
    14 https://doi.org/10.1139/t96-104-324
    15 https://doi.org/10.1139/t98-066
    16 https://doi.org/10.1139/t99-068
    17 https://doi.org/10.12989/gae.2010.2.1.019
    18 https://doi.org/10.12989/gae.2014.6.4.403
    19 https://doi.org/10.1520/gtj10124j
    20 https://doi.org/10.1520/gtj10411j
    21 https://doi.org/10.1520/gtj10521j
    22 https://doi.org/10.1520/stp39322s
    23 https://doi.org/10.1680/geot.1981.31.2.181
    24 https://doi.org/10.1680/geot.1994.44.2.217
    25 https://doi.org/10.1680/geot.1997.47.2.363
    26 https://doi.org/10.1680/geot.2002.52.10.761
    27 https://doi.org/10.1680/geot.2003.53.7.669
    28 https://doi.org/10.1680/grim.2005.9.1.17
    29 https://doi.org/10.3208/sandf.38.247
    30 https://doi.org/10.3208/sandf.47.887
    31 schema:datePublished 2017-02
    32 schema:datePublishedReg 2017-02-01
    33 schema:description The influence of different proportions of clay minerals on the moisture density relationship and index properties of clay soils are not clearly understood because of the different factors that come into play in natural soil formation. This study used 11 different remolded samples prepared by combining double mixtures of commercially available powdered kaolinite, montmorillonite and quartz in proportions of 30%, 50%, 70% and 100% based on dry unit weight to investigate the relationship between different proportions of clay minerals with index properties and compaction characteristics of clay soils. The results described the influence of different proportions of clay minerals on the liquid limit, plastic limit and plasticity index measured using the fall cone penetration test. Also, the variation of maximum dry density and optimum moisture content with different clay mineral proportions has been analyzed. In addition, equations are presented with significant correlations to show the relationship between Atterberg limits, compaction parameters and the proportion of clay minerals. Knowledge on the effect of the different clay minerals on the moisture density relationship and index properties can be used to predict the behavior of compacted clay soils encountered in engineering practices and reduce the time and effort needed for assessing the suitability of clay soils and clay liners for engineering use.
    34 schema:genre research_article
    35 schema:inLanguage en
    36 schema:isAccessibleForFree false
    37 schema:isPartOf N9b614e4fc822469bb6af6288387c98d0
    38 Ne222dae0b7c1435aa9cfac518a6ea444
    39 sg:journal.1136365
    40 schema:name Experimental investigation on compaction and Atterberg limits characteristics of soils: Aspects of clay content using artificial mixtures
    41 schema:pagination 546-553
    42 schema:productId N98b66db81d22468ba24a239803d4b57e
    43 Nc7b4fb8c9c4446b6826fe4b0555c6002
    44 Nf281bdfdaec943e7992523d4a399f497
    45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007156848
    46 https://doi.org/10.1007/s12205-017-1580-z
    47 schema:sdDatePublished 2019-04-11T09:30
    48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    49 schema:sdPublisher Ndfd3906e80ad43c2a037ea53b4466a2e
    50 schema:url https://link.springer.com/10.1007%2Fs12205-017-1580-z
    51 sgo:license sg:explorer/license/
    52 sgo:sdDataset articles
    53 rdf:type schema:ScholarlyArticle
    54 N1ead43eb0a6c4c29b66ef1a4e74534a8 schema:affiliation https://www.grid.ac/institutes/grid.257065.3
    55 schema:familyName Frederick
    56 schema:givenName Charkley Nai
    57 rdf:type schema:Person
    58 N98b66db81d22468ba24a239803d4b57e schema:name doi
    59 schema:value 10.1007/s12205-017-1580-z
    60 rdf:type schema:PropertyValue
    61 N9b614e4fc822469bb6af6288387c98d0 schema:volumeNumber 21
    62 rdf:type schema:PublicationVolume
    63 N9c8373cdb1a449909960e7c5465c9c14 rdf:first sg:person.015472370137.47
    64 rdf:rest Nc0799b588cb64a91b1be034783a91bd1
    65 Nc0799b588cb64a91b1be034783a91bd1 rdf:first N1ead43eb0a6c4c29b66ef1a4e74534a8
    66 rdf:rest rdf:nil
    67 Nc7b4fb8c9c4446b6826fe4b0555c6002 schema:name readcube_id
    68 schema:value 22171bb7ef54b67d28105796383e4978817d6a2a85bba47a76dde904d0e81fa0
    69 rdf:type schema:PropertyValue
    70 Ndfd3906e80ad43c2a037ea53b4466a2e schema:name Springer Nature - SN SciGraph project
    71 rdf:type schema:Organization
    72 Ne222dae0b7c1435aa9cfac518a6ea444 schema:issueNumber 2
    73 rdf:type schema:PublicationIssue
    74 Nf281bdfdaec943e7992523d4a399f497 schema:name dimensions_id
    75 schema:value pub.1007156848
    76 rdf:type schema:PropertyValue
    77 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    78 schema:name Environmental Sciences
    79 rdf:type schema:DefinedTerm
    80 anzsrc-for:0503 schema:inDefinedTermSet anzsrc-for:
    81 schema:name Soil Sciences
    82 rdf:type schema:DefinedTerm
    83 sg:journal.1136365 schema:issn 1226-7988
    84 1976-3808
    85 schema:name KSCE Journal of Civil Engineering
    86 rdf:type schema:Periodical
    87 sg:person.015472370137.47 schema:affiliation https://www.grid.ac/institutes/grid.257065.3
    88 schema:familyName Zhang
    89 schema:givenName Kunyong
    90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015472370137.47
    91 rdf:type schema:Person
    92 sg:pub.10.1007/s13369-015-1918-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035906990
    93 https://doi.org/10.1007/s13369-015-1918-0
    94 rdf:type schema:CreativeWork
    95 https://doi.org/10.1016/j.clay.2011.04.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050801258
    96 rdf:type schema:CreativeWork
    97 https://doi.org/10.1016/j.trgeo.2014.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041797871
    98 rdf:type schema:CreativeWork
    99 https://doi.org/10.1061/(asce)1090-0241(1998)124:9(907) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057617972
    100 rdf:type schema:CreativeWork
    101 https://doi.org/10.1061/(asce)1090-0241(2003)129:8(774) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057618720
    102 rdf:type schema:CreativeWork
    103 https://doi.org/10.1061/(asce)gt.1943-5606.0000022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057632012
    104 rdf:type schema:CreativeWork
    105 https://doi.org/10.1061/(asce)gt.1943-5606.0000639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057632609
    106 rdf:type schema:CreativeWork
    107 https://doi.org/10.1139/t08-022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048850837
    108 rdf:type schema:CreativeWork
    109 https://doi.org/10.1139/t92-042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032829462
    110 rdf:type schema:CreativeWork
    111 https://doi.org/10.1139/t92-056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021123349
    112 rdf:type schema:CreativeWork
    113 https://doi.org/10.1139/t96-104-324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053146786
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1139/t98-066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048546757
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1139/t99-068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045422387
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.12989/gae.2010.2.1.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064860555
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.12989/gae.2014.6.4.403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064860670
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1520/gtj10124j schema:sameAs https://app.dimensions.ai/details/publication/pub.1067614620
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1520/gtj10411j schema:sameAs https://app.dimensions.ai/details/publication/pub.1067615153
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1520/gtj10521j schema:sameAs https://app.dimensions.ai/details/publication/pub.1067615276
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1520/stp39322s schema:sameAs https://app.dimensions.ai/details/publication/pub.1088496512
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1680/geot.1981.31.2.181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068209867
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1680/geot.1994.44.2.217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068210580
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1680/geot.1997.47.2.363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068210793
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1680/geot.2002.52.10.761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068211199
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1680/geot.2003.53.7.669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068211360
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1680/grim.2005.9.1.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068212596
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.3208/sandf.38.247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003653342
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.3208/sandf.47.887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024619645
    146 rdf:type schema:CreativeWork
    147 https://www.grid.ac/institutes/grid.257065.3 schema:alternateName Hohai University
    148 schema:name Geotechnical Research Institute, Hohai University, 210098, Nanjing, Jiangsu, P.R. China
    149 Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, 210098, Nanjing, China
    150 rdf:type schema:Organization
     




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


    ...