Evaluation of Meso-damage Processes in Concrete by X-Ray CT Scanning Techniques Under Real-Time Uniaxial Compression Testing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-06

AUTHORS

Wei Tian, Nv Han

ABSTRACT

Concrete damage characteristics were investigated by X-ray computed tomography (CT) under uniaxial compression, with medical X-ray CT and a loading device used to carry out real-time uniaxial compression scanning tests, obtaining two-dimensional CT images of crack generation, propagation, coalescence, and failure. Damage deterioration of internal structures under different loading conditions was analyzed by means of a digital image-processing technique, which allowed the recognition and extraction of meso cracks. Furthermore, the crack lengths were extracted and measured from CT images. Methods of divisional regions were applied to carry out the quantitative analysis of CT numbers in specific representative regions. The fractal dimensions (FDs) of crack propagation in CT images were estimated using the box-counting dimension, and the relationship between the strain, crack propagation, and FD examined. Complicated and disordered internal cracks were clearly observed with increased load. The results indicated that such CT tests were a promising means for identifying the evolution and propagation of internal cracks and for studying the mesoscopic damage fracture mechanism under uniaxial compression. More... »

PAGES

44

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10921-019-0585-6

DOI

http://dx.doi.org/10.1007/s10921-019-0585-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113061824


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chang'an University", 
          "id": "https://www.grid.ac/institutes/grid.440661.1", 
          "name": [
            "School of Civil Engineering, Chang\u2019an University, 710061, Xi\u2019an, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tian", 
        "givenName": "Wei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tongji University", 
          "id": "https://www.grid.ac/institutes/grid.24516.34", 
          "name": [
            "Department of Structural Engineering, Tongji University, 200092, Shanghai, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Nv", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.conbuildmat.2014.06.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004079517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compositesb.2015.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009640156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0013-7944(02)00019-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019958785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cemconcomp.2011.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021313649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.engfracmech.2014.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025451759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12046-014-0305-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034822381", 
          "https://doi.org/10.1007/s12046-014-0305-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conbuildmat.2015.03.103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036006799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0013-7944(02)00157-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036556098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conbuildmat.2010.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042015285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/zamm.19790590830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044658682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cemconres.2004.08.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048736068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0008-8846(99)00212-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049060631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cemconres.2013.03.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050305883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cemconcomp.2018.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101385634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conbuildmat.2018.05.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104250534"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-06", 
    "datePublishedReg": "2019-06-01", 
    "description": "Concrete damage characteristics were investigated by X-ray computed tomography (CT) under uniaxial compression, with medical X-ray CT and a loading device used to carry out real-time uniaxial compression scanning tests, obtaining two-dimensional CT images of crack generation, propagation, coalescence, and failure. Damage deterioration of internal structures under different loading conditions was analyzed by means of a digital image-processing technique, which allowed the recognition and extraction of meso cracks. Furthermore, the crack lengths were extracted and measured from CT images. Methods of divisional regions were applied to carry out the quantitative analysis of CT numbers in specific representative regions. The fractal dimensions (FDs) of crack propagation in CT images were estimated using the box-counting dimension, and the relationship between the strain, crack propagation, and FD examined. Complicated and disordered internal cracks were clearly observed with increased load. The results indicated that such CT tests were a promising means for identifying the evolution and propagation of internal cracks and for studying the mesoscopic damage fracture mechanism under uniaxial compression.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10921-019-0585-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136450", 
        "issn": [
          "0195-9298", 
          "1573-4862"
        ], 
        "name": "Journal of Nondestructive Evaluation", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Evaluation of Meso-damage Processes in Concrete by X-Ray CT Scanning Techniques Under Real-Time Uniaxial Compression Testing", 
    "pagination": "44", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "feba7042ce00b6fa5f136cf10b4d8d8af1d1c416fe2a4ba6265d9d17f8a2bcf3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10921-019-0585-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113061824"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10921-019-0585-6", 
      "https://app.dimensions.ai/details/publication/pub.1113061824"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:19", 
    "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/v90/0000000368_0000000368/records_78950_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10921-019-0585-6"
  }
]
 

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/s10921-019-0585-6'

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/s10921-019-0585-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10921-019-0585-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10921-019-0585-6'


 

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

115 TRIPLES      21 PREDICATES      42 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10921-019-0585-6 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nf59157230360471aa7d995677fe13724
4 schema:citation sg:pub.10.1007/s12046-014-0305-y
5 https://doi.org/10.1002/zamm.19790590830
6 https://doi.org/10.1016/j.cemconcomp.2011.01.008
7 https://doi.org/10.1016/j.cemconcomp.2018.03.004
8 https://doi.org/10.1016/j.cemconres.2004.08.016
9 https://doi.org/10.1016/j.cemconres.2013.03.020
10 https://doi.org/10.1016/j.compositesb.2015.11.007
11 https://doi.org/10.1016/j.conbuildmat.2010.05.005
12 https://doi.org/10.1016/j.conbuildmat.2014.06.046
13 https://doi.org/10.1016/j.conbuildmat.2015.03.103
14 https://doi.org/10.1016/j.conbuildmat.2018.05.052
15 https://doi.org/10.1016/j.engfracmech.2014.10.016
16 https://doi.org/10.1016/s0008-8846(99)00212-4
17 https://doi.org/10.1016/s0013-7944(02)00019-x
18 https://doi.org/10.1016/s0013-7944(02)00157-1
19 schema:datePublished 2019-06
20 schema:datePublishedReg 2019-06-01
21 schema:description Concrete damage characteristics were investigated by X-ray computed tomography (CT) under uniaxial compression, with medical X-ray CT and a loading device used to carry out real-time uniaxial compression scanning tests, obtaining two-dimensional CT images of crack generation, propagation, coalescence, and failure. Damage deterioration of internal structures under different loading conditions was analyzed by means of a digital image-processing technique, which allowed the recognition and extraction of meso cracks. Furthermore, the crack lengths were extracted and measured from CT images. Methods of divisional regions were applied to carry out the quantitative analysis of CT numbers in specific representative regions. The fractal dimensions (FDs) of crack propagation in CT images were estimated using the box-counting dimension, and the relationship between the strain, crack propagation, and FD examined. Complicated and disordered internal cracks were clearly observed with increased load. The results indicated that such CT tests were a promising means for identifying the evolution and propagation of internal cracks and for studying the mesoscopic damage fracture mechanism under uniaxial compression.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N07521caecc114450bcdb525855a43ad8
26 Nd24d91be3a1b4a309458c9e467699b99
27 sg:journal.1136450
28 schema:name Evaluation of Meso-damage Processes in Concrete by X-Ray CT Scanning Techniques Under Real-Time Uniaxial Compression Testing
29 schema:pagination 44
30 schema:productId N249e0eebbf3f4a4c8b222b221cad1a28
31 N3ae7df11478346f38005a259063c8942
32 Ne2d45a446ce448c9ba68e5733d6acc06
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113061824
34 https://doi.org/10.1007/s10921-019-0585-6
35 schema:sdDatePublished 2019-04-11T13:19
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher Nd1655faded794ffca57c82ea75e89925
38 schema:url https://link.springer.com/10.1007%2Fs10921-019-0585-6
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N07521caecc114450bcdb525855a43ad8 schema:issueNumber 2
43 rdf:type schema:PublicationIssue
44 N1dd988e031514c31a409a25a2e6f7ecc schema:affiliation https://www.grid.ac/institutes/grid.440661.1
45 schema:familyName Tian
46 schema:givenName Wei
47 rdf:type schema:Person
48 N249e0eebbf3f4a4c8b222b221cad1a28 schema:name readcube_id
49 schema:value feba7042ce00b6fa5f136cf10b4d8d8af1d1c416fe2a4ba6265d9d17f8a2bcf3
50 rdf:type schema:PropertyValue
51 N3ae7df11478346f38005a259063c8942 schema:name doi
52 schema:value 10.1007/s10921-019-0585-6
53 rdf:type schema:PropertyValue
54 N7ebee42a72fd430ea5be52a5bf646527 schema:affiliation https://www.grid.ac/institutes/grid.24516.34
55 schema:familyName Han
56 schema:givenName Nv
57 rdf:type schema:Person
58 Nd04abae0cfd14d178ce3996980d9d7ed rdf:first N7ebee42a72fd430ea5be52a5bf646527
59 rdf:rest rdf:nil
60 Nd1655faded794ffca57c82ea75e89925 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 Nd24d91be3a1b4a309458c9e467699b99 schema:volumeNumber 38
63 rdf:type schema:PublicationVolume
64 Ne2d45a446ce448c9ba68e5733d6acc06 schema:name dimensions_id
65 schema:value pub.1113061824
66 rdf:type schema:PropertyValue
67 Nf59157230360471aa7d995677fe13724 rdf:first N1dd988e031514c31a409a25a2e6f7ecc
68 rdf:rest Nd04abae0cfd14d178ce3996980d9d7ed
69 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
70 schema:name Information and Computing Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
73 schema:name Artificial Intelligence and Image Processing
74 rdf:type schema:DefinedTerm
75 sg:journal.1136450 schema:issn 0195-9298
76 1573-4862
77 schema:name Journal of Nondestructive Evaluation
78 rdf:type schema:Periodical
79 sg:pub.10.1007/s12046-014-0305-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1034822381
80 https://doi.org/10.1007/s12046-014-0305-y
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1002/zamm.19790590830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044658682
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1016/j.cemconcomp.2011.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021313649
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/j.cemconcomp.2018.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101385634
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/j.cemconres.2004.08.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048736068
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/j.cemconres.2013.03.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050305883
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/j.compositesb.2015.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009640156
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.conbuildmat.2010.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042015285
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.conbuildmat.2014.06.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004079517
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.conbuildmat.2015.03.103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036006799
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.conbuildmat.2018.05.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104250534
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.engfracmech.2014.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025451759
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/s0008-8846(99)00212-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049060631
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/s0013-7944(02)00019-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019958785
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/s0013-7944(02)00157-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036556098
109 rdf:type schema:CreativeWork
110 https://www.grid.ac/institutes/grid.24516.34 schema:alternateName Tongji University
111 schema:name Department of Structural Engineering, Tongji University, 200092, Shanghai, People’s Republic of China
112 rdf:type schema:Organization
113 https://www.grid.ac/institutes/grid.440661.1 schema:alternateName Chang'an University
114 schema:name School of Civil Engineering, Chang’an University, 710061, Xi’an, People’s Republic of China
115 rdf:type schema:Organization
 




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


...