Ontology type: schema:ScholarlyArticle
2021-11-18
AUTHORSAdem Candaş, Erkan Oterkus, C. Erdem İmrak
ABSTRACTDynamic crack propagation assessment in functionally graded materials (FGMs) with micro-cracks is accomplished using bond-based Peridynamics (PD). The dynamic fracture behaviour of various FGMs’ material models is studied in Kalthoff–Winkler experiment. Dynamic crack growth predictions and associated material damage of the specimen under dynamic loading conditions are considered. The effect of micro-cracks near macro-crack tips on the toughening mechanism is evaluated in terms of crack propagation velocities. Stochastically pre-located micro-cracks are modelled to obtain the toughening effect in the material. In addition, the velocities and time required for fracture are compared in different FGM cases. It is frankly found that if a crack propagates in the harder region of the specimen, velocities decrease and toughness increase in contrast to the softer region. Furthermore, micro-cracks around a macro-crack decelerate the crack propagation and enhance toughening mechanism in FGM body depending on gradation of material properties. More... »
PAGES1-15
http://scigraph.springernature.com/pub.10.1007/s00366-021-01540-2
DOIhttp://dx.doi.org/10.1007/s00366-021-01540-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1142686979
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/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Mathematics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0802",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Computation Theory and Mathematics",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Faculty of Mechanical Engineering, Istanbul Technical University, 34437, Beyo\u011flu, Istanbul, Turkey",
"id": "http://www.grid.ac/institutes/grid.10516.33",
"name": [
"Faculty of Mechanical Engineering, Istanbul Technical University, 34437, Beyo\u011flu, Istanbul, Turkey"
],
"type": "Organization"
},
"familyName": "Canda\u015f",
"givenName": "Adem",
"id": "sg:person.012400037760.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012400037760.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, G4 0LZ, Glasgow, UK",
"id": "http://www.grid.ac/institutes/grid.11984.35",
"name": [
"Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, G4 0LZ, Glasgow, UK"
],
"type": "Organization"
},
"familyName": "Oterkus",
"givenName": "Erkan",
"id": "sg:person.013066472321.71",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013066472321.71"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Faculty of Mechanical Engineering, Istanbul Technical University, 34437, Beyo\u011flu, Istanbul, Turkey",
"id": "http://www.grid.ac/institutes/grid.10516.33",
"name": [
"Faculty of Mechanical Engineering, Istanbul Technical University, 34437, Beyo\u011flu, Istanbul, Turkey"
],
"type": "Organization"
},
"familyName": "\u0130mrak",
"givenName": "C. Erdem",
"id": "sg:person.011501507537.99",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011501507537.99"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s11340-006-5867-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048863758",
"https://doi.org/10.1007/s11340-006-5867-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11340-006-5863-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031864545",
"https://doi.org/10.1007/s11340-006-5863-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10704-012-9684-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015320403",
"https://doi.org/10.1007/s10704-012-9684-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10659-007-9125-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040710703",
"https://doi.org/10.1007/s10659-007-9125-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4614-8465-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025763701",
"https://doi.org/10.1007/978-1-4614-8465-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10409-011-0436-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027010925",
"https://doi.org/10.1007/s10409-011-0436-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1016/s0894-9166(10)60046-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029125268",
"https://doi.org/10.1016/s0894-9166(10)60046-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10999-011-9159-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017293836",
"https://doi.org/10.1007/s10999-011-9159-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11012-009-9190-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016551383",
"https://doi.org/10.1007/s11012-009-9190-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10704-016-0163-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035560254",
"https://doi.org/10.1007/s10704-016-0163-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11340-006-6416-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013825589",
"https://doi.org/10.1007/s11340-006-6416-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1007647800529",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037618686",
"https://doi.org/10.1023/a:1007647800529"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/b:mamd.0000035457.78797.c5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034859176",
"https://doi.org/10.1023/b:mamd.0000035457.78797.c5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/b:frac.0000035049.26772.2d",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053501105",
"https://doi.org/10.1023/b:frac.0000035049.26772.2d"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00042121",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085907255",
"https://doi.org/10.1007/bf00042121"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10704-005-6023-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005031382",
"https://doi.org/10.1007/s10704-005-6023-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10659-008-9163-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015725363",
"https://doi.org/10.1007/s10659-008-9163-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00040390",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085598518",
"https://doi.org/10.1007/bf00040390"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10704-007-9094-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039242512",
"https://doi.org/10.1007/s10704-007-9094-1"
],
"type": "CreativeWork"
}
],
"datePublished": "2021-11-18",
"datePublishedReg": "2021-11-18",
"description": "Dynamic crack propagation assessment in functionally graded materials (FGMs) with micro-cracks is accomplished using bond-based Peridynamics (PD). The dynamic fracture behaviour of various FGMs\u2019 material models is studied in Kalthoff\u2013Winkler experiment. Dynamic crack growth predictions and associated material damage of the specimen under dynamic loading conditions are considered. The effect of micro-cracks near macro-crack tips on the toughening mechanism is evaluated in terms of crack propagation velocities. Stochastically pre-located micro-cracks are modelled to obtain the toughening effect in the material. In addition, the velocities and time required for fracture are compared in different FGM cases. It is frankly found that if a crack propagates in the harder region of the specimen, velocities decrease and toughness increase in contrast to the softer region. Furthermore, micro-cracks around a macro-crack decelerate the crack propagation and enhance toughening mechanism in FGM body depending on gradation of material properties.",
"genre": "article",
"id": "sg:pub.10.1007/s00366-021-01540-2",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1041785",
"issn": [
"0177-0667",
"1435-5663"
],
"name": "Engineering with Computers",
"publisher": "Springer Nature",
"type": "Periodical"
}
],
"keywords": [
"toughening mechanisms",
"macro-crack tip",
"dynamic fracture behavior",
"dynamic loading conditions",
"crack propagation velocity",
"crack growth prediction",
"bond-based peridynamics",
"Kalthoff\u2013Winkler experiment",
"fracture behavior",
"crack propagates",
"toughness increase",
"crack propagation",
"peridynamic simulations",
"dynamic fracture",
"material model",
"toughening effect",
"loading conditions",
"FGM body",
"material properties",
"material damage",
"soft regions",
"propagation velocity",
"FGM cases",
"hard regions",
"propagation assessment",
"peridynamics",
"velocity",
"growth prediction",
"materials",
"FGM",
"specimen",
"load",
"fractures",
"propagates",
"simulations",
"decelerates",
"propagation",
"gradation",
"properties",
"tip",
"behavior",
"prediction",
"conditions",
"effect",
"experiments",
"model",
"mechanism",
"region",
"damage",
"addition",
"increase",
"terms",
"time",
"body",
"assessment",
"cases",
"contrast"
],
"name": "Peridynamic simulation of dynamic fracture in functionally graded materials subjected to impact load",
"pagination": "1-15",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1142686979"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00366-021-01540-2"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00366-021-01540-2",
"https://app.dimensions.ai/details/publication/pub.1142686979"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:38",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_891.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00366-021-01540-2"
}
]
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/s00366-021-01540-2'
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/s00366-021-01540-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00366-021-01540-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00366-021-01540-2'
This table displays all metadata directly associated to this object as RDF triples.
214 TRIPLES
22 PREDICATES
102 URIs
72 LITERALS
4 BLANK NODES