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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4643.5", 
          "name": [
            "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lampitella", 
        "givenName": "P.", 
        "id": "sg:person.015405051525.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015405051525.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4643.5", 
          "name": [
            "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inzoli", 
        "givenName": "F.", 
        "id": "sg:person.015513442756.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015513442756.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy", 
          "id": "http://www.grid.ac/institutes/grid.4643.5", 
          "name": [
            "Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Colombo", 
        "givenName": "E.", 
        "id": "sg:person.010344030305.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010344030305.56"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2015-01-28", 
    "datePublishedReg": "2015-01-28", 
    "description": "In the present work we introduce an LES framework which does not require any commutation property between filtering and derivative operators. A consistent redefinition of the SGS tensor in the new framework introduces several differences in the classical modeling strategies, including a modified, cheaper, form of Germano dynamic procedure. This dynamic procedure is exploited trough a new form of mixed model, whose scale-similar part is derived by a Taylor series analysis of the SGS tensor. The model is implemented in a commercial unstructured finite volume solver and numerical tests are performed on the turbulent channel flow at Re\u03c4=590\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$\\mathrm {Re}_\\tau = 590$$\\end{document}, showing the flexibility and accuracy of the proposed modeling strategy.", 
    "editor": [
      {
        "familyName": "Fr\u00f6hlich", 
        "givenName": "Jochen", 
        "type": "Person"
      }, 
      {
        "familyName": "Kuerten", 
        "givenName": "Hans", 
        "type": "Person"
      }, 
      {
        "familyName": "Geurts", 
        "givenName": "Bernard J.", 
        "type": "Person"
      }, 
      {
        "familyName": "Armenio", 
        "givenName": "Vincenzo", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-14448-1_2", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-14447-4", 
        "978-3-319-14448-1"
      ], 
      "name": "Direct and Large-Eddy Simulation IX", 
      "type": "Book"
    }, 
    "keywords": [
      "SGS tensor", 
      "dynamic mixed subgrid-scale model", 
      "mixed subgrid-scale model", 
      "unstructured finite volume solver", 
      "turbulent channel flow", 
      "subgrid-scale model", 
      "finite volume solver", 
      "dynamic procedure", 
      "LES framework", 
      "channel flow", 
      "modeling strategy", 
      "classical modeling strategies", 
      "Taylor series analysis", 
      "numerical tests", 
      "consistent redefinition", 
      "present work", 
      "numerical experiments", 
      "solver", 
      "flow", 
      "filtering", 
      "model", 
      "tensor", 
      "properties", 
      "accuracy", 
      "flexibility", 
      "experiments", 
      "work", 
      "test", 
      "procedure", 
      "derivative operator", 
      "new framework", 
      "trough", 
      "strategies", 
      "framework", 
      "series analysis", 
      "operators", 
      "analysis", 
      "form", 
      "commutation properties", 
      "part", 
      "new forms", 
      "differences", 
      "redefinition", 
      "mixed models"
    ], 
    "name": "Numerical Experiments with a New Dynamic Mixed Subgrid-Scale Model", 
    "pagination": "15-21", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023456989"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-14448-1_2"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-14448-1_2", 
      "https://app.dimensions.ai/details/publication/pub.1023456989"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-08-04T17:22", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/chapter/chapter_416.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-14448-1_2"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

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

132 TRIPLES      22 PREDICATES      68 URIs      61 LITERALS      7 BLANK NODES