Systematic Laboratory Test on Structural Performance of Corroded Reinforced Concrete and Its Utilization in Practice View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011-01-13

AUTHORS

Takashi Yamamoto , Michiaki Oyado , Yasuhiro Mikata , Koichi Kobayashi , Takumi Shimomura

ABSTRACT

A great number of loading tests have been performed on load-carrying behaviour of RC members with the corroded reinforcing steel. However, it is difficult to find the quantitative relationship between the degree of corrosion and the loading capacity. This may be attributed to a scatter in the results of the loading test due to the non-uniformity in the reduced cross sectional area of the corroded reinforcement and some differences in the experimental technique. Such scatter of the results also leads to the difficulty in the selection of the target of the numerical analysis, which must be useful for the estimation of the structural performance. JSCE (Japan Society of Civil Engineers) Committee 331 conducted a systematic laboratory test on the structural performance of RC beam deteriorated by the corrosion of the reinforcement according to the common experimental procedure. The objectives of the common test are to grasp the essence of the scatter in the result of load-carrying capacity. In this study, the flexural behaviour of RC beam, which is degraded due to the chloride ion attack, was focused on without taking into consideration shear failure or bond failure of the tensile reinforcement. The results of the common test show that the large ratio of the corrosion weight loss was highly likely to induce the failure due to the fracture of the longitudinal reinforcement, because the longitudinal scatter in the cross-sectional area of corroded reinforcement increases as the corrosion loss increases. More... »

PAGES

113-124

References to SciGraph publications

Book

TITLE

Modelling of Corroding Concrete Structures

ISBN

978-94-007-0676-7
978-94-007-0677-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-007-0677-4_7

DOI

http://dx.doi.org/10.1007/978-94-007-0677-4_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010301002


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/2008/0905", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Civil Engineering", 
        "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": {
          "alternateName": "Kyoto University", 
          "id": "https://www.grid.ac/institutes/grid.258799.8", 
          "name": [
            "Kyoto University, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Takashi", 
        "id": "sg:person.016222605557.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016222605557.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Railway Technical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.471474.5", 
          "name": [
            "Railway Technical Research Institute, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oyado", 
        "givenName": "Michiaki", 
        "id": "sg:person.016113371753.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016113371753.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Osaka Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.419937.1", 
          "name": [
            "Osaka Institute of Technology, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mikata", 
        "givenName": "Yasuhiro", 
        "id": "sg:person.016506252031.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506252031.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gifu University", 
          "id": "https://www.grid.ac/institutes/grid.256342.4", 
          "name": [
            "Gifu University, Gifu, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Koichi", 
        "id": "sg:person.013646315721.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013646315721.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagaoka University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.260427.5", 
          "name": [
            "Nagaoka University of Technology, Niigata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimomura", 
        "givenName": "Takumi", 
        "id": "sg:person.016616726071.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016616726071.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02480533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014122753", 
          "https://doi.org/10.1007/bf02480533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14359/18624", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067277755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14359/2687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067278344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1680/istbu.1993.23373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068231661"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-01-13", 
    "datePublishedReg": "2011-01-13", 
    "description": "A great number of loading tests have been performed on load-carrying behaviour of RC members with the corroded reinforcing steel. However, it is difficult to find the quantitative relationship between the degree of corrosion and the loading capacity. This may be attributed to a scatter in the results of the loading test due to the non-uniformity in the reduced cross sectional area of the corroded reinforcement and some differences in the experimental technique. Such scatter of the results also leads to the difficulty in the selection of the target of the numerical analysis, which must be useful for the estimation of the structural performance. JSCE (Japan Society of Civil Engineers) Committee 331 conducted a systematic laboratory test on the structural performance of RC beam deteriorated by the corrosion of the reinforcement according to the common experimental procedure. The objectives of the common test are to grasp the essence of the scatter in the result of load-carrying capacity. In this study, the flexural behaviour of RC beam, which is degraded due to the chloride ion attack, was focused on without taking into consideration shear failure or bond failure of the tensile reinforcement. The results of the common test show that the large ratio of the corrosion weight loss was highly likely to induce the failure due to the fracture of the longitudinal reinforcement, because the longitudinal scatter in the cross-sectional area of corroded reinforcement increases as the corrosion loss increases.", 
    "editor": [
      {
        "familyName": "Andrade", 
        "givenName": "Carmen", 
        "type": "Person"
      }, 
      {
        "familyName": "Mancini", 
        "givenName": "Giuseppe", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-007-0677-4_7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-94-007-0676-7", 
        "978-94-007-0677-4"
      ], 
      "name": "Modelling of Corroding Concrete Structures", 
      "type": "Book"
    }, 
    "name": "Systematic Laboratory Test on Structural Performance of Corroded Reinforced Concrete and Its Utilization in Practice", 
    "pagination": "113-124", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010301002"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-007-0677-4_7"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "31134667d652e6a1f1365b4f8dd4cf36be27faf67117dd33f36b8bafbbe8923b"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-007-0677-4_7", 
      "https://app.dimensions.ai/details/publication/pub.1010301002"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:38", 
    "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/v90/0000000365_0000000365/records_71701_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-94-007-0677-4_7"
  }
]
 

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.10.1007/978-94-007-0677-4_7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0677-4_7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0677-4_7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-0677-4_7'


 

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

123 TRIPLES      23 PREDICATES      30 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-007-0677-4_7 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 schema:author N8585ed8fcbf04a1183bec248ce818548
4 schema:citation sg:pub.10.1007/bf02480533
5 https://doi.org/10.14359/18624
6 https://doi.org/10.14359/2687
7 https://doi.org/10.1680/istbu.1993.23373
8 schema:datePublished 2011-01-13
9 schema:datePublishedReg 2011-01-13
10 schema:description A great number of loading tests have been performed on load-carrying behaviour of RC members with the corroded reinforcing steel. However, it is difficult to find the quantitative relationship between the degree of corrosion and the loading capacity. This may be attributed to a scatter in the results of the loading test due to the non-uniformity in the reduced cross sectional area of the corroded reinforcement and some differences in the experimental technique. Such scatter of the results also leads to the difficulty in the selection of the target of the numerical analysis, which must be useful for the estimation of the structural performance. JSCE (Japan Society of Civil Engineers) Committee 331 conducted a systematic laboratory test on the structural performance of RC beam deteriorated by the corrosion of the reinforcement according to the common experimental procedure. The objectives of the common test are to grasp the essence of the scatter in the result of load-carrying capacity. In this study, the flexural behaviour of RC beam, which is degraded due to the chloride ion attack, was focused on without taking into consideration shear failure or bond failure of the tensile reinforcement. The results of the common test show that the large ratio of the corrosion weight loss was highly likely to induce the failure due to the fracture of the longitudinal reinforcement, because the longitudinal scatter in the cross-sectional area of corroded reinforcement increases as the corrosion loss increases.
11 schema:editor N057085cd18be47a7ac994ea982822663
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Ne7e489a3be2a43cf94563b2e4f1e213f
16 schema:name Systematic Laboratory Test on Structural Performance of Corroded Reinforced Concrete and Its Utilization in Practice
17 schema:pagination 113-124
18 schema:productId N3dfcc82eea0745ddb716d9d641fb72e4
19 Nc805a94960cb44d583f0899b93cf9599
20 Nf5399595220645bdb394224dc009e13b
21 schema:publisher N68dce0c32c554b9390a711ac8772ccab
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010301002
23 https://doi.org/10.1007/978-94-007-0677-4_7
24 schema:sdDatePublished 2019-04-16T08:38
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher N5d71c948106c41ba8f7e176a57096005
27 schema:url https://link.springer.com/10.1007%2F978-94-007-0677-4_7
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N057085cd18be47a7ac994ea982822663 rdf:first Ndd526ba56bb74727af0ef2383fad95fb
32 rdf:rest Nafe7721871d343bf824f94dc2faae0aa
33 N1a752fc3929944e5ae0b456c8f74c906 rdf:first sg:person.013646315721.55
34 rdf:rest N956e2e2431f44bd2a282ac5eca0e682e
35 N3dfcc82eea0745ddb716d9d641fb72e4 schema:name doi
36 schema:value 10.1007/978-94-007-0677-4_7
37 rdf:type schema:PropertyValue
38 N5d71c948106c41ba8f7e176a57096005 schema:name Springer Nature - SN SciGraph project
39 rdf:type schema:Organization
40 N68dce0c32c554b9390a711ac8772ccab schema:location Dordrecht
41 schema:name Springer Netherlands
42 rdf:type schema:Organisation
43 N6e690d77f8f84278bc9b4dcb9aa466b2 schema:familyName Mancini
44 schema:givenName Giuseppe
45 rdf:type schema:Person
46 N74725fc6884347c8b2ccd62c2093bc29 rdf:first sg:person.016506252031.50
47 rdf:rest N1a752fc3929944e5ae0b456c8f74c906
48 N8585ed8fcbf04a1183bec248ce818548 rdf:first sg:person.016222605557.08
49 rdf:rest Nc149483de1ef4e18a893b515e808ef62
50 N956e2e2431f44bd2a282ac5eca0e682e rdf:first sg:person.016616726071.99
51 rdf:rest rdf:nil
52 Nafe7721871d343bf824f94dc2faae0aa rdf:first N6e690d77f8f84278bc9b4dcb9aa466b2
53 rdf:rest rdf:nil
54 Nc149483de1ef4e18a893b515e808ef62 rdf:first sg:person.016113371753.73
55 rdf:rest N74725fc6884347c8b2ccd62c2093bc29
56 Nc805a94960cb44d583f0899b93cf9599 schema:name dimensions_id
57 schema:value pub.1010301002
58 rdf:type schema:PropertyValue
59 Ndd526ba56bb74727af0ef2383fad95fb schema:familyName Andrade
60 schema:givenName Carmen
61 rdf:type schema:Person
62 Ne7e489a3be2a43cf94563b2e4f1e213f schema:isbn 978-94-007-0676-7
63 978-94-007-0677-4
64 schema:name Modelling of Corroding Concrete Structures
65 rdf:type schema:Book
66 Nf5399595220645bdb394224dc009e13b schema:name readcube_id
67 schema:value 31134667d652e6a1f1365b4f8dd4cf36be27faf67117dd33f36b8bafbbe8923b
68 rdf:type schema:PropertyValue
69 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
70 schema:name Engineering
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
73 schema:name Civil Engineering
74 rdf:type schema:DefinedTerm
75 sg:person.013646315721.55 schema:affiliation https://www.grid.ac/institutes/grid.256342.4
76 schema:familyName Kobayashi
77 schema:givenName Koichi
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013646315721.55
79 rdf:type schema:Person
80 sg:person.016113371753.73 schema:affiliation https://www.grid.ac/institutes/grid.471474.5
81 schema:familyName Oyado
82 schema:givenName Michiaki
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016113371753.73
84 rdf:type schema:Person
85 sg:person.016222605557.08 schema:affiliation https://www.grid.ac/institutes/grid.258799.8
86 schema:familyName Yamamoto
87 schema:givenName Takashi
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016222605557.08
89 rdf:type schema:Person
90 sg:person.016506252031.50 schema:affiliation https://www.grid.ac/institutes/grid.419937.1
91 schema:familyName Mikata
92 schema:givenName Yasuhiro
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016506252031.50
94 rdf:type schema:Person
95 sg:person.016616726071.99 schema:affiliation https://www.grid.ac/institutes/grid.260427.5
96 schema:familyName Shimomura
97 schema:givenName Takumi
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016616726071.99
99 rdf:type schema:Person
100 sg:pub.10.1007/bf02480533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014122753
101 https://doi.org/10.1007/bf02480533
102 rdf:type schema:CreativeWork
103 https://doi.org/10.14359/18624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067277755
104 rdf:type schema:CreativeWork
105 https://doi.org/10.14359/2687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067278344
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1680/istbu.1993.23373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068231661
108 rdf:type schema:CreativeWork
109 https://www.grid.ac/institutes/grid.256342.4 schema:alternateName Gifu University
110 schema:name Gifu University, Gifu, Japan
111 rdf:type schema:Organization
112 https://www.grid.ac/institutes/grid.258799.8 schema:alternateName Kyoto University
113 schema:name Kyoto University, Kyoto, Japan
114 rdf:type schema:Organization
115 https://www.grid.ac/institutes/grid.260427.5 schema:alternateName Nagaoka University of Technology
116 schema:name Nagaoka University of Technology, Niigata, Japan
117 rdf:type schema:Organization
118 https://www.grid.ac/institutes/grid.419937.1 schema:alternateName Osaka Institute of Technology
119 schema:name Osaka Institute of Technology, Osaka, Japan
120 rdf:type schema:Organization
121 https://www.grid.ac/institutes/grid.471474.5 schema:alternateName Railway Technical Research Institute
122 schema:name Railway Technical Research Institute, Tokyo, Japan
123 rdf:type schema:Organization
 




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


...