Interval design point method for calculating the reliability of structural systems View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-11

AUTHORS

Zao Ni, ZhiPing Qiu

ABSTRACT

The evaluation of reliability for structural system is important in engineering practices. In this paper, by combining the design point method, JC method, interval analysis theory, and increment load method, we propose a new interval design point method for the reliability of structural systems in which the distribution parameters of random variables are described as interval variables. The proposed method may provide exact probabilistic interval reliability of structures whose random variables can have either a normal or abnormal distribution form. At last, we show the feasibility of the proposed approach through a typical example. More... »

PAGES

2151-2161

Journal

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11433-013-5210-6

DOI

http://dx.doi.org/10.1007/s11433-013-5210-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022294659


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": {
          "name": [
            "Shanghai Aircraft Design and Research institute, COMAC, 201210, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ni", 
        "givenName": "Zao", 
        "id": "sg:person.013537110233.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013537110233.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beihang University", 
          "id": "https://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Institute of Solid Mechanics, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qiu", 
        "givenName": "ZhiPing", 
        "id": "sg:person.014412456557.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014412456557.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10409-007-0111-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005202403", 
          "https://doi.org/10.1007/s10409-007-0111-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10409-007-0111-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005202403", 
          "https://doi.org/10.1007/s10409-007-0111-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03601217208905347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009505121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4730(93)90003-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010799303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4730(93)90003-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010799303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/2.164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013818383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-7091-2501-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018404762", 
          "https://doi.org/10.1007/978-3-7091-2501-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-7091-2501-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018404762", 
          "https://doi.org/10.1007/978-3-7091-2501-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(93)90197-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025820646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7825(93)90197-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025820646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7462(94)90053-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032975552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(78)90046-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043548958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0045-7949(78)90046-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043548958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijsolstr.2008.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045469978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8320(90)90093-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050078740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0951-8320(90)90093-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050078740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0026-2714(96)00002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053360467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1.9781611970906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098556260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9780470316511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109496281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109496281", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-11", 
    "datePublishedReg": "2013-11-01", 
    "description": "The evaluation of reliability for structural system is important in engineering practices. In this paper, by combining the design point method, JC method, interval analysis theory, and increment load method, we propose a new interval design point method for the reliability of structural systems in which the distribution parameters of random variables are described as interval variables. The proposed method may provide exact probabilistic interval reliability of structures whose random variables can have either a normal or abnormal distribution form. At last, we show the feasibility of the proposed approach through a typical example.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11433-013-5210-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1282972", 
        "issn": [
          "1674-7348", 
          "1869-1927"
        ], 
        "name": "Science China Physics, Mechanics & Astronomy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "56"
      }
    ], 
    "name": "Interval design point method for calculating the reliability of structural systems", 
    "pagination": "2151-2161", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6a3736357645253554805d5689f6384f25ae0d3fbec3c4a4357ef36d82f06eef"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11433-013-5210-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022294659"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11433-013-5210-6", 
      "https://app.dimensions.ai/details/publication/pub.1022294659"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:19", 
    "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/v90/0000000001_0000000264/records_8678_00000586.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11433-013-5210-6"
  }
]
 

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/s11433-013-5210-6'

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/s11433-013-5210-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11433-013-5210-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11433-013-5210-6'


 

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

113 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11433-013-5210-6 schema:about anzsrc-for:09
2 anzsrc-for:0905
3 schema:author Ndf5b0de7dc5c4f44b629c5fcc96c2492
4 schema:citation sg:pub.10.1007/978-3-7091-2501-4
5 sg:pub.10.1007/s10409-007-0111-4
6 https://app.dimensions.ai/details/publication/pub.1109496281
7 https://doi.org/10.1002/9780470316511
8 https://doi.org/10.1016/0020-7462(94)90053-1
9 https://doi.org/10.1016/0045-7825(93)90197-6
10 https://doi.org/10.1016/0045-7949(78)90046-9
11 https://doi.org/10.1016/0167-4730(93)90003-j
12 https://doi.org/10.1016/0951-8320(90)90093-3
13 https://doi.org/10.1016/j.ijsolstr.2008.01.005
14 https://doi.org/10.1016/s0026-2714(96)00002-9
15 https://doi.org/10.1080/03601217208905347
16 https://doi.org/10.1137/1.9781611970906
17 https://doi.org/10.2514/2.164
18 schema:datePublished 2013-11
19 schema:datePublishedReg 2013-11-01
20 schema:description The evaluation of reliability for structural system is important in engineering practices. In this paper, by combining the design point method, JC method, interval analysis theory, and increment load method, we propose a new interval design point method for the reliability of structural systems in which the distribution parameters of random variables are described as interval variables. The proposed method may provide exact probabilistic interval reliability of structures whose random variables can have either a normal or abnormal distribution form. At last, we show the feasibility of the proposed approach through a typical example.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N00212d2757c3430ab39898f611ec6e53
25 N854bb979893c43d1afbb1e9e75749f1b
26 sg:journal.1282972
27 schema:name Interval design point method for calculating the reliability of structural systems
28 schema:pagination 2151-2161
29 schema:productId N3c1eac2d795a4b0db73751eff66abaaf
30 N9bc8fe32a21a4fde96b263a09ec0d177
31 Nd442f0a4b26d4c15b4a5430d9178f7d6
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022294659
33 https://doi.org/10.1007/s11433-013-5210-6
34 schema:sdDatePublished 2019-04-10T19:19
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N548df1502ec64868847aad6dc8789942
37 schema:url http://link.springer.com/10.1007%2Fs11433-013-5210-6
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N00212d2757c3430ab39898f611ec6e53 schema:issueNumber 11
42 rdf:type schema:PublicationIssue
43 N3c1eac2d795a4b0db73751eff66abaaf schema:name dimensions_id
44 schema:value pub.1022294659
45 rdf:type schema:PropertyValue
46 N548df1502ec64868847aad6dc8789942 schema:name Springer Nature - SN SciGraph project
47 rdf:type schema:Organization
48 N5eba9698d718481ca7605e9e31707577 rdf:first sg:person.014412456557.05
49 rdf:rest rdf:nil
50 N854bb979893c43d1afbb1e9e75749f1b schema:volumeNumber 56
51 rdf:type schema:PublicationVolume
52 N9bc8fe32a21a4fde96b263a09ec0d177 schema:name doi
53 schema:value 10.1007/s11433-013-5210-6
54 rdf:type schema:PropertyValue
55 Nd442f0a4b26d4c15b4a5430d9178f7d6 schema:name readcube_id
56 schema:value 6a3736357645253554805d5689f6384f25ae0d3fbec3c4a4357ef36d82f06eef
57 rdf:type schema:PropertyValue
58 Ndf5b0de7dc5c4f44b629c5fcc96c2492 rdf:first sg:person.013537110233.37
59 rdf:rest N5eba9698d718481ca7605e9e31707577
60 Nf6632f82265d4481a91fe88235fc1570 schema:name Shanghai Aircraft Design and Research institute, COMAC, 201210, Shanghai, China
61 rdf:type schema:Organization
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0905 schema:inDefinedTermSet anzsrc-for:
66 schema:name Civil Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1282972 schema:issn 1674-7348
69 1869-1927
70 schema:name Science China Physics, Mechanics & Astronomy
71 rdf:type schema:Periodical
72 sg:person.013537110233.37 schema:affiliation Nf6632f82265d4481a91fe88235fc1570
73 schema:familyName Ni
74 schema:givenName Zao
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013537110233.37
76 rdf:type schema:Person
77 sg:person.014412456557.05 schema:affiliation https://www.grid.ac/institutes/grid.64939.31
78 schema:familyName Qiu
79 schema:givenName ZhiPing
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014412456557.05
81 rdf:type schema:Person
82 sg:pub.10.1007/978-3-7091-2501-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018404762
83 https://doi.org/10.1007/978-3-7091-2501-4
84 rdf:type schema:CreativeWork
85 sg:pub.10.1007/s10409-007-0111-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005202403
86 https://doi.org/10.1007/s10409-007-0111-4
87 rdf:type schema:CreativeWork
88 https://app.dimensions.ai/details/publication/pub.1109496281 schema:CreativeWork
89 https://doi.org/10.1002/9780470316511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109496281
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/0020-7462(94)90053-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032975552
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/0045-7825(93)90197-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025820646
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0045-7949(78)90046-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043548958
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/0167-4730(93)90003-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1010799303
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0951-8320(90)90093-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050078740
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.ijsolstr.2008.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045469978
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0026-2714(96)00002-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053360467
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1080/03601217208905347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009505121
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1137/1.9781611970906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098556260
108 rdf:type schema:CreativeWork
109 https://doi.org/10.2514/2.164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013818383
110 rdf:type schema:CreativeWork
111 https://www.grid.ac/institutes/grid.64939.31 schema:alternateName Beihang University
112 schema:name Institute of Solid Mechanics, Beijing University of Aeronautics and Astronautics, 100191, Beijing, China
113 rdf:type schema:Organization
 




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


...