Multiscale modeling for long-term life prediction of CFRP structures under cyclic loading View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-03

AUTHORS

Masayuki Nakada, Yasushi Miyano

ABSTRACT

Long-term life prediction of carbon fiber reinforced polymers (CFRP) structures under cyclic loading is performed by multiscale modeling as the combination of fiber scale, layer scale, and structure scale. The concept of failure index for fiber and matrix based on the micromechanics of failure theory (MMF) developed by Sung-Kyu Ha is introduced for the determination of the failure corner in structure, failure layer in laminates, and failure mode of fiber or matrix. The accelerated testing methodology (ATM) developed by the authors is used for long-term life prediction of CFRP structures. An MMF/ATM method combined with MMF and ATM is applied to the long-term life prediction of open hole compressive CFRP laminates under cyclic loading as well as static loading. Then the predicted results are compared with the experimental ones. Results clarified that MMF/ATM method is useful for the long-term life prediction of CFRP structures under static and cyclic loading because the results mutually agree well. More... »

PAGES

19-32

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s41939-017-0003-7

DOI

http://dx.doi.org/10.1007/s41939-017-0003-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092654566


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": "Kanazawa Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.444537.5", 
          "name": [
            "Materials System Research Laboratory, Kanazawa Institute of Technology, 3-1 Yatsukaho, 924-0838, Hakusan, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakada", 
        "givenName": "Masayuki", 
        "id": "sg:person.014144672716.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014144672716.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kanazawa Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.444537.5", 
          "name": [
            "Materials System Research Laboratory, Kanazawa Institute of Technology, 3-1 Yatsukaho, 924-0838, Hakusan, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyano", 
        "givenName": "Yasushi", 
        "id": "sg:person.014750603631.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014750603631.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1163/156855199x00236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005164300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2472/jsms.24.156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041522730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10704-005-9062-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048304712", 
          "https://doi.org/10.1007/s10704-005-9062-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10704-005-9062-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048304712", 
          "https://doi.org/10.1007/s10704-005-9062-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009873124095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052555908", 
          "https://doi.org/10.1023/a:1009873124095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998313515019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053784464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998313515019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053784464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1631024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062073183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998307088611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998307088611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308088590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308088590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308093911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308093911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308093913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0021998308093913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063621998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/002199839703100605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063625048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/002199839703100605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063625048"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03", 
    "datePublishedReg": "2018-03-01", 
    "description": "Long-term life prediction of carbon fiber reinforced polymers (CFRP) structures under cyclic loading is performed by multiscale modeling as the combination of fiber scale, layer scale, and structure scale. The concept of failure index for fiber and matrix based on the micromechanics of failure theory (MMF) developed by Sung-Kyu Ha is introduced for the determination of the failure corner in structure, failure layer in laminates, and failure mode of fiber or matrix. The accelerated testing methodology (ATM) developed by the authors is used for long-term life prediction of CFRP structures. An MMF/ATM method combined with MMF and ATM is applied to the long-term life prediction of open hole compressive CFRP laminates under cyclic loading as well as static loading. Then the predicted results are compared with the experimental ones. Results clarified that MMF/ATM method is useful for the long-term life prediction of CFRP structures under static and cyclic loading because the results mutually agree well.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s41939-017-0003-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1301423", 
        "issn": [
          "2520-8160", 
          "2520-8179"
        ], 
        "name": "Multiscale and Multidisciplinary Modeling, Experiments and Design", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Multiscale modeling for long-term life prediction of CFRP structures under cyclic loading", 
    "pagination": "19-32", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "13b05de9e889eb18ac46003ea3b1f8c4970220966f30e9af9a3bfe584d955273"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s41939-017-0003-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092654566"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s41939-017-0003-7", 
      "https://app.dimensions.ai/details/publication/pub.1092654566"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:22", 
    "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_8678_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs41939-017-0003-7"
  }
]
 

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/s41939-017-0003-7'

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/s41939-017-0003-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41939-017-0003-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41939-017-0003-7'


 

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

103 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s41939-017-0003-7 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 schema:author Nb4127bbef7cc41f493377b5c9cea499f
4 schema:citation sg:pub.10.1007/s10704-005-9062-6
5 sg:pub.10.1023/a:1009873124095
6 https://doi.org/10.1115/1.1631024
7 https://doi.org/10.1163/156855199x00236
8 https://doi.org/10.1177/0021998307088611
9 https://doi.org/10.1177/0021998308088590
10 https://doi.org/10.1177/0021998308093911
11 https://doi.org/10.1177/0021998308093913
12 https://doi.org/10.1177/0021998313515019
13 https://doi.org/10.1177/002199839703100605
14 https://doi.org/10.2472/jsms.24.156
15 schema:datePublished 2018-03
16 schema:datePublishedReg 2018-03-01
17 schema:description Long-term life prediction of carbon fiber reinforced polymers (CFRP) structures under cyclic loading is performed by multiscale modeling as the combination of fiber scale, layer scale, and structure scale. The concept of failure index for fiber and matrix based on the micromechanics of failure theory (MMF) developed by Sung-Kyu Ha is introduced for the determination of the failure corner in structure, failure layer in laminates, and failure mode of fiber or matrix. The accelerated testing methodology (ATM) developed by the authors is used for long-term life prediction of CFRP structures. An MMF/ATM method combined with MMF and ATM is applied to the long-term life prediction of open hole compressive CFRP laminates under cyclic loading as well as static loading. Then the predicted results are compared with the experimental ones. Results clarified that MMF/ATM method is useful for the long-term life prediction of CFRP structures under static and cyclic loading because the results mutually agree well.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf Nc28bae11f06045479d95b3125684d738
22 Nf30c43807c7a481da54ccbe536493ebc
23 sg:journal.1301423
24 schema:name Multiscale modeling for long-term life prediction of CFRP structures under cyclic loading
25 schema:pagination 19-32
26 schema:productId N7a844a24101142eda357a107d337221b
27 N7c5cc596cb114fc19db458bc210714e5
28 Nb2fa3a55bcdf40069320372c40835fe8
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092654566
30 https://doi.org/10.1007/s41939-017-0003-7
31 schema:sdDatePublished 2019-04-10T19:22
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher Nc8ef7c8a87d34bd59e5a6163471e1eec
34 schema:url https://link.springer.com/10.1007%2Fs41939-017-0003-7
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N232f9b48a6a940b88ad5ff03559f12dd rdf:first sg:person.014750603631.13
39 rdf:rest rdf:nil
40 N7a844a24101142eda357a107d337221b schema:name readcube_id
41 schema:value 13b05de9e889eb18ac46003ea3b1f8c4970220966f30e9af9a3bfe584d955273
42 rdf:type schema:PropertyValue
43 N7c5cc596cb114fc19db458bc210714e5 schema:name doi
44 schema:value 10.1007/s41939-017-0003-7
45 rdf:type schema:PropertyValue
46 Nb2fa3a55bcdf40069320372c40835fe8 schema:name dimensions_id
47 schema:value pub.1092654566
48 rdf:type schema:PropertyValue
49 Nb4127bbef7cc41f493377b5c9cea499f rdf:first sg:person.014144672716.69
50 rdf:rest N232f9b48a6a940b88ad5ff03559f12dd
51 Nc28bae11f06045479d95b3125684d738 schema:volumeNumber 1
52 rdf:type schema:PublicationVolume
53 Nc8ef7c8a87d34bd59e5a6163471e1eec schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 Nf30c43807c7a481da54ccbe536493ebc schema:issueNumber 1
56 rdf:type schema:PublicationIssue
57 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
58 schema:name Engineering
59 rdf:type schema:DefinedTerm
60 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
61 schema:name Civil Engineering
62 rdf:type schema:DefinedTerm
63 sg:journal.1301423 schema:issn 2520-8160
64 2520-8179
65 schema:name Multiscale and Multidisciplinary Modeling, Experiments and Design
66 rdf:type schema:Periodical
67 sg:person.014144672716.69 schema:affiliation https://www.grid.ac/institutes/grid.444537.5
68 schema:familyName Nakada
69 schema:givenName Masayuki
70 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014144672716.69
71 rdf:type schema:Person
72 sg:person.014750603631.13 schema:affiliation https://www.grid.ac/institutes/grid.444537.5
73 schema:familyName Miyano
74 schema:givenName Yasushi
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014750603631.13
76 rdf:type schema:Person
77 sg:pub.10.1007/s10704-005-9062-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048304712
78 https://doi.org/10.1007/s10704-005-9062-6
79 rdf:type schema:CreativeWork
80 sg:pub.10.1023/a:1009873124095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052555908
81 https://doi.org/10.1023/a:1009873124095
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1115/1.1631024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062073183
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1163/156855199x00236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005164300
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1177/0021998307088611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063621936
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1177/0021998308088590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063621943
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1177/0021998308093911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063621996
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1177/0021998308093913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063621998
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1177/0021998313515019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053784464
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1177/002199839703100605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063625048
98 rdf:type schema:CreativeWork
99 https://doi.org/10.2472/jsms.24.156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041522730
100 rdf:type schema:CreativeWork
101 https://www.grid.ac/institutes/grid.444537.5 schema:alternateName Kanazawa Institute of Technology
102 schema:name Materials System Research Laboratory, Kanazawa Institute of Technology, 3-1 Yatsukaho, 924-0838, Hakusan, Ishikawa, Japan
103 rdf:type schema:Organization
 




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


...