Ontology type: schema:ScholarlyArticle
2018-03
AUTHORSMahmoud Nili, Alireza Azarioon, Amir Danesh, Ali Deihimi
ABSTRACTIn the present study, the effectiveness of fiber inclusion on enhancing frost durability was experimentally examined. Polypropylene fiber of 0.2, 0.3, 0.4, and 0.5% and steel fiber of 0.2, 0.4, 0.6, 0.8, and 1.0% by volume fraction were used. Additionally, reference and air-entrained specimens (with 5% air content) were prepared to compare the results. The water/cement ratio for all concrete mixtures was 0.465. The compressive and tensile strengths, and longitudinal strains of frost-exposed specimens were measured. The results showed that both fibers improved the frost resistance of concrete, and 1% steel fiber inclusion caused the samples to be safe against freeze–thaw cycles as well as air entraining. Minimum fiber volumes of 0.4 and 0.5% were required for frost resistance in the steel and polypropylene fiber specimens, respectively. The results were also numerically examined using an artificial neural network (ANN). Data analysis showed that the ANN was capable of generalizing between input and output variables with reasonably fine predictions. More... »
PAGES263-272
http://scigraph.springernature.com/pub.10.1007/s40999-016-0122-2
DOIhttp://dx.doi.org/10.1007/s40999-016-0122-2
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1032283673
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": {
"alternateName": "Bu-Ali Sina University",
"id": "https://www.grid.ac/institutes/grid.411807.b",
"name": [
"Department of Civil Engineering, Bu-Ali Sina University, Hamedan, Iran"
],
"type": "Organization"
},
"familyName": "Nili",
"givenName": "Mahmoud",
"id": "sg:person.012212716517.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012212716517.44"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Bu-Ali Sina University",
"id": "https://www.grid.ac/institutes/grid.411807.b",
"name": [
"Department of Civil Engineering, Bu-Ali Sina University, Hamedan, Iran"
],
"type": "Organization"
},
"familyName": "Azarioon",
"givenName": "Alireza",
"id": "sg:person.010257407467.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010257407467.43"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Bu-Ali Sina University",
"id": "https://www.grid.ac/institutes/grid.411807.b",
"name": [
"Department of Civil Engineering, Bu-Ali Sina University, Hamedan, Iran"
],
"type": "Organization"
},
"familyName": "Danesh",
"givenName": "Amir",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Bu-Ali Sina University",
"id": "https://www.grid.ac/institutes/grid.411807.b",
"name": [
"Electrical Engineering Department, Bu-Ali Sina University, Hamedan, Iran"
],
"type": "Organization"
},
"familyName": "Deihimi",
"givenName": "Ali",
"id": "sg:person.011015772233.94",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011015772233.94"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.conbuildmat.2015.12.161",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002885629"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4028/www.scientific.net/amr.152-153.1574",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003383687"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4028/www.scientific.net/amr.250-253.673",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004242634"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.corsci.2004.08.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009213692"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12206-016-0227-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015495946",
"https://doi.org/10.1007/s12206-016-0227-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0958-9465(97)00020-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017420195"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.engstruct.2015.10.042",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021097188"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.conbuildmat.2011.04.068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022788873"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.commatsci.2007.07.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025238400"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cemconres.2005.10.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030897208"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4028/www.scientific.net/amr.150-151.243",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048149401"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0020-7225(97)00080-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048804253"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1061/(asce)0733-9399(1991)117:1(132)",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057581962"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1061/(asce)0887-381x(1988)2:3(124)",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057609746"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1061/(asce)0899-1561(2004)16:3(257)",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057612244"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1061/(asce)cr.1943-5495.0000029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057627982"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1061/(asce)cr.1943-5495.0000039",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057627992"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/72.329697",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061218516"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.14359/51682312",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1067279394"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1617/s11527-006-9116-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1068155840",
"https://doi.org/10.1617/s11527-006-9116-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4028/www.scientific.net/amm.174-177.721",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071908609"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4028/www.scientific.net/amm.193-194.337",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071910818"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1201/b19383",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095908100"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-03",
"datePublishedReg": "2018-03-01",
"description": "In the present study, the effectiveness of fiber inclusion on enhancing frost durability was experimentally examined. Polypropylene fiber of 0.2, 0.3, 0.4, and 0.5% and steel fiber of 0.2, 0.4, 0.6, 0.8, and 1.0% by volume fraction were used. Additionally, reference and air-entrained specimens (with 5% air content) were prepared to compare the results. The water/cement ratio for all concrete mixtures was 0.465. The compressive and tensile strengths, and longitudinal strains of frost-exposed specimens were measured. The results showed that both fibers improved the frost resistance of concrete, and 1% steel fiber inclusion caused the samples to be safe against freeze\u2013thaw cycles as well as air entraining. Minimum fiber volumes of 0.4 and 0.5% were required for frost resistance in the steel and polypropylene fiber specimens, respectively. The results were also numerically examined using an artificial neural network (ANN). Data analysis showed that the ANN was capable of generalizing between input and output variables with reasonably fine predictions.",
"genre": "research_article",
"id": "sg:pub.10.1007/s40999-016-0122-2",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1151599",
"issn": [
"1735-0522",
"2383-3874"
],
"name": "International Journal of Civil Engineering",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "16"
}
],
"name": "Experimental study and modeling of fiber volume effects on frost resistance of fiber reinforced concrete",
"pagination": "263-272",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"99cb270b455a75f6961db2d66599fc9d79dd1779843e2bf45329763373fbedd3"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s40999-016-0122-2"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1032283673"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s40999-016-0122-2",
"https://app.dimensions.ai/details/publication/pub.1032283673"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:37",
"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/v90/0000000349_0000000349/records_113676_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs40999-016-0122-2"
}
]
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/s40999-016-0122-2'
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/s40999-016-0122-2'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40999-016-0122-2'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40999-016-0122-2'
This table displays all metadata directly associated to this object as RDF triples.
153 TRIPLES
21 PREDICATES
50 URIs
19 LITERALS
7 BLANK NODES