A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10

AUTHORS

A. Kaintura, D. Spina, I. Couckuyt, L. Knockaert, W. Bogaerts, T. Dhaene

ABSTRACT

We propose a new surrogate modeling approach by combining two non-intrusive techniques: Kriging and Stochastic Collocation. The proposed method relies on building a sufficiently accurate Stochastic Collocation model which acts as a basis to construct a Kriging model on the residuals, to combine the accuracy and efficiency of Stochastic Collocation methods in describing stochastic quantities with the flexibility and modeling power of Kriging-based approaches. We investigate and compare performance of the proposed approach with state-of-art techniques over benchmark problems and practical engineering examples on various experimental designs. More... »

PAGES

935-949

Journal

TITLE

Engineering with Computers

ISSUE

4

VOLUME

33

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00366-017-0507-0

DOI

http://dx.doi.org/10.1007/s00366-017-0507-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084021133


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "IDLab, Department of Information Technology (INTEC), Ghent University\u2013imec, Technologiepark\u2013Zwijnaarde 15, 9052, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaintura", 
        "givenName": "A.", 
        "id": "sg:person.015656667511.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015656667511.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "IDLab, Department of Information Technology (INTEC), Ghent University\u2013imec, Technologiepark\u2013Zwijnaarde 15, 9052, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spina", 
        "givenName": "D.", 
        "id": "sg:person.0747701500.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747701500.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "IDLab, Department of Information Technology (INTEC), Ghent University\u2013imec, Technologiepark\u2013Zwijnaarde 15, 9052, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Couckuyt", 
        "givenName": "I.", 
        "id": "sg:person.015035737135.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015035737135.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "IDLab, Department of Information Technology (INTEC), Ghent University\u2013imec, Technologiepark\u2013Zwijnaarde 15, 9052, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Knockaert", 
        "givenName": "L.", 
        "id": "sg:person.013337453515.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013337453515.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "Photonics Research Group, Department of Information Technology, Center for Nano and Biophotonics, Ghent University\u2013 imec, 9050, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bogaerts", 
        "givenName": "W.", 
        "id": "sg:person.01004751551.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004751551.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ghent University", 
          "id": "https://www.grid.ac/institutes/grid.5342.0", 
          "name": [
            "IDLab, Department of Information Technology (INTEC), Ghent University\u2013imec, Technologiepark\u2013Zwijnaarde 15, 9052, Ghent, Belgium", 
            "Photonics Research Group, Department of Information Technology, Center for Nano and Biophotonics, Ghent University\u2013 imec, 9050, Ghent, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dhaene", 
        "givenName": "T.", 
        "id": "sg:person.015013400014.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013400014.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-4612-1494-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004000982", 
          "https://doi.org/10.1007/978-1-4612-1494-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-1494-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004000982", 
          "https://doi.org/10.1007/978-1-4612-1494-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2014.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004299251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.csda.2008.03.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004428476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ress.2007.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005177970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03052150211751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005665561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003659900119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006793020", 
          "https://doi.org/10.1007/s003659900119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/env.772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007138575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/env.772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007138575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008306431147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009040383", 
          "https://doi.org/10.1023/a:1008306431147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2012.04.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011494384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2010.01.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011715643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2010.12.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012131174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00366-009-0138-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016186137", 
          "https://doi.org/10.1007/s00366-009-0138-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00366-009-0138-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016186137", 
          "https://doi.org/10.1007/s00366-009-0138-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00366-009-0138-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016186137", 
          "https://doi.org/10.1007/s00366-009-0138-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4613-1997-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017983002", 
          "https://doi.org/10.1007/978-1-4613-1997-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4613-1997-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017983002", 
          "https://doi.org/10.1007/978-1-4613-1997-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/6.2009-2276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019484405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0951-8320(02)00229-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021983448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0951-8320(02)00229-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021983448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/6.2009-2274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022264172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.piutam.2015.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023707756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2003.12.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025957273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/1.j051354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027105462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018977404843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028195112", 
          "https://doi.org/10.1023/a:1018977404843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02684411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031251253", 
          "https://doi.org/10.1007/bf02684411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02684411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031251253", 
          "https://doi.org/10.1007/bf02684411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2007.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031255809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.advengsoft.2012.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031538609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1033094591", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-3094-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033094591", 
          "https://doi.org/10.1007/978-1-4612-3094-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-3094-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033094591", 
          "https://doi.org/10.1007/978-1-4612-3094-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2009.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041798178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/prj.4.000093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042160381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00607-003-0015-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042764113", 
          "https://doi.org/10.1007/s00607-003-0015-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.strusafe.2005.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042894884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2514/1.j051243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043777758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2006.12.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043998082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00007198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046637383", 
          "https://doi.org/10.1007/pl00007198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2005.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047551596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.3019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053615192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0962492904000182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054905235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tbme.2008.2009882", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061527436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcpmt.2014.2312455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061561573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1897403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062075883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1897403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062075883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1897403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062075883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.2429697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062079401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/050627630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062846115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/050643118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062846646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/100817498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062859762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/100817504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062859763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/ss/1177012413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064409909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/int.j.uncertaintyquantification.2015012467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068137759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/detc2002/dac-34092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092798968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/9780784413609.257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096255086"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-10", 
    "datePublishedReg": "2017-10-01", 
    "description": "We propose a new surrogate modeling approach by combining two non-intrusive techniques: Kriging and Stochastic Collocation. The proposed method relies on building a sufficiently accurate Stochastic Collocation model which acts as a basis to construct a Kriging model on the residuals, to combine the accuracy and efficiency of Stochastic Collocation methods in describing stochastic quantities with the flexibility and modeling power of Kriging-based approaches. We investigate and compare performance of the proposed approach with state-of-art techniques over benchmark problems and practical engineering examples on various experimental designs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00366-017-0507-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1041785", 
        "issn": [
          "0177-0667", 
          "1435-5663"
        ], 
        "name": "Engineering with Computers", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications", 
    "pagination": "935-949", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7e08b4af5ce7d7047a454df3a9dd0c0132c49b75a71f25f40dcb31d851de7a53"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00366-017-0507-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084021133"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00366-017-0507-0", 
      "https://app.dimensions.ai/details/publication/pub.1084021133"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:59", 
    "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/v90/0000000347_0000000347/records_89814_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00366-017-0507-0"
  }
]
 

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/s00366-017-0507-0'

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/s00366-017-0507-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00366-017-0507-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00366-017-0507-0'


 

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

247 TRIPLES      21 PREDICATES      74 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00366-017-0507-0 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N100d216ee5e8486c93e0f9b55ae3780d
4 schema:citation sg:pub.10.1007/978-1-4612-1494-6
5 sg:pub.10.1007/978-1-4612-3094-6
6 sg:pub.10.1007/978-1-4613-1997-9
7 sg:pub.10.1007/bf02684411
8 sg:pub.10.1007/pl00007198
9 sg:pub.10.1007/s003659900119
10 sg:pub.10.1007/s00366-009-0138-1
11 sg:pub.10.1007/s00607-003-0015-5
12 sg:pub.10.1023/a:1008306431147
13 sg:pub.10.1023/a:1018977404843
14 https://app.dimensions.ai/details/publication/pub.1033094591
15 https://doi.org/10.1002/env.772
16 https://doi.org/10.1002/nme.3019
17 https://doi.org/10.1016/j.advengsoft.2012.03.002
18 https://doi.org/10.1016/j.csda.2008.03.026
19 https://doi.org/10.1016/j.ejor.2007.10.013
20 https://doi.org/10.1016/j.jcp.2003.12.020
21 https://doi.org/10.1016/j.jcp.2005.03.023
22 https://doi.org/10.1016/j.jcp.2006.12.014
23 https://doi.org/10.1016/j.jcp.2009.01.006
24 https://doi.org/10.1016/j.jcp.2010.01.033
25 https://doi.org/10.1016/j.jcp.2010.12.021
26 https://doi.org/10.1016/j.jcp.2012.04.047
27 https://doi.org/10.1016/j.jcp.2014.02.024
28 https://doi.org/10.1016/j.piutam.2015.01.017
29 https://doi.org/10.1016/j.ress.2007.04.002
30 https://doi.org/10.1016/j.strusafe.2005.08.003
31 https://doi.org/10.1016/s0951-8320(02)00229-6
32 https://doi.org/10.1017/s0962492904000182
33 https://doi.org/10.1061/9780784413609.257
34 https://doi.org/10.1080/03052150211751
35 https://doi.org/10.1109/tbme.2008.2009882
36 https://doi.org/10.1109/tcpmt.2014.2312455
37 https://doi.org/10.1115/1.1897403
38 https://doi.org/10.1115/1.2429697
39 https://doi.org/10.1115/detc2002/dac-34092
40 https://doi.org/10.1137/050627630
41 https://doi.org/10.1137/050643118
42 https://doi.org/10.1137/100817498
43 https://doi.org/10.1137/100817504
44 https://doi.org/10.1214/ss/1177012413
45 https://doi.org/10.1364/prj.4.000093
46 https://doi.org/10.1615/int.j.uncertaintyquantification.2015012467
47 https://doi.org/10.2514/1.j051243
48 https://doi.org/10.2514/1.j051354
49 https://doi.org/10.2514/6.2009-2274
50 https://doi.org/10.2514/6.2009-2276
51 schema:datePublished 2017-10
52 schema:datePublishedReg 2017-10-01
53 schema:description We propose a new surrogate modeling approach by combining two non-intrusive techniques: Kriging and Stochastic Collocation. The proposed method relies on building a sufficiently accurate Stochastic Collocation model which acts as a basis to construct a Kriging model on the residuals, to combine the accuracy and efficiency of Stochastic Collocation methods in describing stochastic quantities with the flexibility and modeling power of Kriging-based approaches. We investigate and compare performance of the proposed approach with state-of-art techniques over benchmark problems and practical engineering examples on various experimental designs.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree true
57 schema:isPartOf N16176674f8fa468d92901743b56b5f02
58 Na9b5d1cbb8584da6a4ac6165ff933f1e
59 sg:journal.1041785
60 schema:name A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications
61 schema:pagination 935-949
62 schema:productId N440bb2e0817b434a868a0237ded5a896
63 N989d311bb3e248f59d28656c524934bd
64 Nc20bb40e0db84614951819de4ec687e0
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084021133
66 https://doi.org/10.1007/s00366-017-0507-0
67 schema:sdDatePublished 2019-04-11T09:59
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher Nbcc76ec48bcc4df297da81038dd1a21a
70 schema:url https://link.springer.com/10.1007%2Fs00366-017-0507-0
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N100d216ee5e8486c93e0f9b55ae3780d rdf:first sg:person.015656667511.20
75 rdf:rest Nef640da6adf041a599c0e01f2ee9cf8c
76 N16176674f8fa468d92901743b56b5f02 schema:issueNumber 4
77 rdf:type schema:PublicationIssue
78 N440bb2e0817b434a868a0237ded5a896 schema:name dimensions_id
79 schema:value pub.1084021133
80 rdf:type schema:PropertyValue
81 N61f37d7325ea4fb5822ed5e4bd940862 rdf:first sg:person.01004751551.35
82 rdf:rest Ne0d038ae60b5452186bf736f00bd493c
83 N893fe379a1054daa8bb95f01badd4a9d rdf:first sg:person.013337453515.51
84 rdf:rest N61f37d7325ea4fb5822ed5e4bd940862
85 N989d311bb3e248f59d28656c524934bd schema:name doi
86 schema:value 10.1007/s00366-017-0507-0
87 rdf:type schema:PropertyValue
88 Na8c9497e788444339607d47ed588a80e rdf:first sg:person.015035737135.31
89 rdf:rest N893fe379a1054daa8bb95f01badd4a9d
90 Na9b5d1cbb8584da6a4ac6165ff933f1e schema:volumeNumber 33
91 rdf:type schema:PublicationVolume
92 Nbcc76ec48bcc4df297da81038dd1a21a schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 Nc20bb40e0db84614951819de4ec687e0 schema:name readcube_id
95 schema:value 7e08b4af5ce7d7047a454df3a9dd0c0132c49b75a71f25f40dcb31d851de7a53
96 rdf:type schema:PropertyValue
97 Ne0d038ae60b5452186bf736f00bd493c rdf:first sg:person.015013400014.51
98 rdf:rest rdf:nil
99 Nef640da6adf041a599c0e01f2ee9cf8c rdf:first sg:person.0747701500.22
100 rdf:rest Na8c9497e788444339607d47ed588a80e
101 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
102 schema:name Mathematical Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
105 schema:name Statistics
106 rdf:type schema:DefinedTerm
107 sg:journal.1041785 schema:issn 0177-0667
108 1435-5663
109 schema:name Engineering with Computers
110 rdf:type schema:Periodical
111 sg:person.01004751551.35 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
112 schema:familyName Bogaerts
113 schema:givenName W.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004751551.35
115 rdf:type schema:Person
116 sg:person.013337453515.51 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
117 schema:familyName Knockaert
118 schema:givenName L.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013337453515.51
120 rdf:type schema:Person
121 sg:person.015013400014.51 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
122 schema:familyName Dhaene
123 schema:givenName T.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013400014.51
125 rdf:type schema:Person
126 sg:person.015035737135.31 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
127 schema:familyName Couckuyt
128 schema:givenName I.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015035737135.31
130 rdf:type schema:Person
131 sg:person.015656667511.20 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
132 schema:familyName Kaintura
133 schema:givenName A.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015656667511.20
135 rdf:type schema:Person
136 sg:person.0747701500.22 schema:affiliation https://www.grid.ac/institutes/grid.5342.0
137 schema:familyName Spina
138 schema:givenName D.
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747701500.22
140 rdf:type schema:Person
141 sg:pub.10.1007/978-1-4612-1494-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004000982
142 https://doi.org/10.1007/978-1-4612-1494-6
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/978-1-4612-3094-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033094591
145 https://doi.org/10.1007/978-1-4612-3094-6
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/978-1-4613-1997-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017983002
148 https://doi.org/10.1007/978-1-4613-1997-9
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/bf02684411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031251253
151 https://doi.org/10.1007/bf02684411
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/pl00007198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046637383
154 https://doi.org/10.1007/pl00007198
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s003659900119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006793020
157 https://doi.org/10.1007/s003659900119
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s00366-009-0138-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016186137
160 https://doi.org/10.1007/s00366-009-0138-1
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s00607-003-0015-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042764113
163 https://doi.org/10.1007/s00607-003-0015-5
164 rdf:type schema:CreativeWork
165 sg:pub.10.1023/a:1008306431147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009040383
166 https://doi.org/10.1023/a:1008306431147
167 rdf:type schema:CreativeWork
168 sg:pub.10.1023/a:1018977404843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028195112
169 https://doi.org/10.1023/a:1018977404843
170 rdf:type schema:CreativeWork
171 https://app.dimensions.ai/details/publication/pub.1033094591 schema:CreativeWork
172 https://doi.org/10.1002/env.772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007138575
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1002/nme.3019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053615192
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.advengsoft.2012.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031538609
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.csda.2008.03.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004428476
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.ejor.2007.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031255809
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jcp.2003.12.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025957273
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.jcp.2005.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047551596
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.jcp.2006.12.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043998082
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.jcp.2009.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041798178
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.jcp.2010.01.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011715643
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.jcp.2010.12.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012131174
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.jcp.2012.04.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011494384
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.jcp.2014.02.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004299251
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.piutam.2015.01.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023707756
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.ress.2007.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005177970
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.strusafe.2005.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042894884
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0951-8320(02)00229-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021983448
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1017/s0962492904000182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054905235
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1061/9780784413609.257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096255086
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1080/03052150211751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005665561
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1109/tbme.2008.2009882 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061527436
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1109/tcpmt.2014.2312455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061561573
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1115/1.1897403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062075883
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1115/1.2429697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062079401
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1115/detc2002/dac-34092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092798968
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1137/050627630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062846115
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1137/050643118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062846646
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1137/100817498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062859762
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1137/100817504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062859763
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1214/ss/1177012413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064409909
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1364/prj.4.000093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042160381
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1615/int.j.uncertaintyquantification.2015012467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068137759
235 rdf:type schema:CreativeWork
236 https://doi.org/10.2514/1.j051243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043777758
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2514/1.j051354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027105462
239 rdf:type schema:CreativeWork
240 https://doi.org/10.2514/6.2009-2274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022264172
241 rdf:type schema:CreativeWork
242 https://doi.org/10.2514/6.2009-2276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019484405
243 rdf:type schema:CreativeWork
244 https://www.grid.ac/institutes/grid.5342.0 schema:alternateName Ghent University
245 schema:name IDLab, Department of Information Technology (INTEC), Ghent University–imec, Technologiepark–Zwijnaarde 15, 9052, Ghent, Belgium
246 Photonics Research Group, Department of Information Technology, Center for Nano and Biophotonics, Ghent University– imec, 9050, Ghent, Belgium
247 rdf:type schema:Organization
 




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


...