Ontology type: schema:ScholarlyArticle
2019-03
AUTHORSBeiji Shi, Xiaolei Yang, Guodong Jin, Guowei He, Shizhao Wang
ABSTRACTA novel method is proposed to combine the wall-modeled large-eddy simulation (LES) with the diffuse-interface direct-forcing immersed boundary (IB) method. The new developments in this method include: (i) the momentum equation is integrated along the wall-normal direction to link the tangential component of the effective body force for the IB method to the wall shear stress predicted by the wall model; (ii) a set of Lagrangian points near the wall are introduced to compute the normal component of the effective body force for the IB method by reconstructing the normal component of the velocity. This novel method will be a classical direct-forcing IB method if the grid is fine enough to resolve the flow near the wall. The method is used to simulate the flows around the DARPA SUBOFF model. The results obtained are well comparable to the measured experimental data and wall-resolved LES results. More... »
PAGES305-320
http://scigraph.springernature.com/pub.10.1007/s10483-019-2425-6
DOIhttp://dx.doi.org/10.1007/s10483-019-2425-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1111626230
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/2008/0915",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Interdisciplinary 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": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"The State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, 100190, Beijing, China",
"School of Engineering Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China"
],
"type": "Organization"
},
"familyName": "Shi",
"givenName": "Beiji",
"id": "sg:person.012102354721.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012102354721.30"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Stony Brook University",
"id": "https://www.grid.ac/institutes/grid.36425.36",
"name": [
"The State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, 100190, Beijing, China",
"Department of Civil Engineering, College of Engineering and Applied Sciences, Stony Brook University, 11794, Stony Brook, New York, USA"
],
"type": "Organization"
},
"familyName": "Yang",
"givenName": "Xiaolei",
"id": "sg:person.012567067741.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012567067741.69"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"The State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, 100190, Beijing, China",
"School of Engineering Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China"
],
"type": "Organization"
},
"familyName": "Jin",
"givenName": "Guodong",
"id": "sg:person.014076614663.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014076614663.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"The State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, 100190, Beijing, China",
"School of Engineering Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China"
],
"type": "Organization"
},
"familyName": "He",
"givenName": "Guowei",
"id": "sg:person.015510251653.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015510251653.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Chinese Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.410726.6",
"name": [
"The State Key Laboratory of Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, 100190, Beijing, China",
"School of Engineering Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Shizhao",
"id": "sg:person.010261712565.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010261712565.52"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1146/annurev.fluid.37.061903.175743",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009096836"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10494-006-9034-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010899261",
"https://doi.org/10.1007/s10494-006-9034-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10494-006-9034-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010899261",
"https://doi.org/10.1007/s10494-006-9034-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jcp.2006.10.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011151835"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jcp.2009.06.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016318020"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.4908072",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016745729"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-7930(03)00058-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023696004"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0045-7930(03)00058-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023696004"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1009995426001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027216436",
"https://doi.org/10.1023/a:1009995426001"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1299/mer.15-00418",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028175489"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.paerosci.2013.09.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029570150"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.fluid.34.082901.144919",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033802721"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/we.1802",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036662692"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2514/8.3713",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038234626"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-77674-8_12",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047380129",
"https://doi.org/10.1007/978-3-642-77674-8_12"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2514/3.61311",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048019279"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1009958917113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048051457",
"https://doi.org/10.1023/a:1009958917113"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0022112010002715",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053838050"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s0022112010002715",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053838050"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/jfm.2016.47",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054045082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/jfm.2016.47",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1054045082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.1476668",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057710410"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.3245294",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057923866"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.3529358",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057968623"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1115/1.4001010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062141370"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-319-63212-4_5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092125131",
"https://doi.org/10.1007/978-3-319-63212-4_5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev-fluid-122316-045241",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100220333"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/we.2162",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100458291"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/jfm.2018.9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101365510"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/jfm.2018.9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101365510"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-03",
"datePublishedReg": "2019-03-01",
"description": "A novel method is proposed to combine the wall-modeled large-eddy simulation (LES) with the diffuse-interface direct-forcing immersed boundary (IB) method. The new developments in this method include: (i) the momentum equation is integrated along the wall-normal direction to link the tangential component of the effective body force for the IB method to the wall shear stress predicted by the wall model; (ii) a set of Lagrangian points near the wall are introduced to compute the normal component of the effective body force for the IB method by reconstructing the normal component of the velocity. This novel method will be a classical direct-forcing IB method if the grid is fine enough to resolve the flow near the wall. The method is used to simulate the flows around the DARPA SUBOFF model. The results obtained are well comparable to the measured experimental data and wall-resolved LES results.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10483-019-2425-6",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1327801",
"issn": [
"0253-4827",
"1000-0887"
],
"name": "Applied Mathematics and Mechanics",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "40"
}
],
"name": "Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method",
"pagination": "305-320",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"985a5304dccb8811e1d2a1bd4dcfe32e35495d8619bba8b4a30a7a99548b4a7d"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10483-019-2425-6"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1111626230"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10483-019-2425-6",
"https://app.dimensions.ai/details/publication/pub.1111626230"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T09:55",
"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_89801_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10483-019-2425-6"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s10483-019-2425-6'
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/s10483-019-2425-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10483-019-2425-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10483-019-2425-6'
This table displays all metadata directly associated to this object as RDF triples.
174 TRIPLES
21 PREDICATES
52 URIs
19 LITERALS
7 BLANK NODES