A finite element model of semi-rigid mortise-and-tenon joint considering glue line and friction coefficient View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Wengang Hu, Huiyuan Guan

ABSTRACT

The aim of this study is to build a new numerical model of a mortise-and-tenon joint based on the finite element method (FEM) considering glue line and friction coefficient to analyze the semi-rigid wood joint. Firstly, the friction coefficient, glue distributions and strengths of the mortise-and-tenon joint were determined by experimental methods. Secondly, these parameters were specified to a T-shaped mortise-and-tenon joint model to build a finite element model of joint by FEM. Finally, both withdrawal and bending load capacity of T-shaped specimens were investigated by experimental and numerical methods. The results showed that the testing methods used to determine the coefficient, distributions and strengths of the glued mortise-and-tenon joint were all effective enough to determine the mechanical properties of the wood mortise-and-tenon joint, and the finite element model of joint can be applied to analyze the semi-rigid mortise-and-tenon joint with consistency beyond 85%. These methods and finite element models will contribute to the analysis of wood products and wood constructions. More... »

PAGES

14

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s10086-019-1794-4

DOI

http://dx.doi.org/10.1186/s10086-019-1794-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112738953


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/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "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": "Nanjing Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.410625.4", 
          "name": [
            "College of Furnishings and Industrial Design, Nanjing Forestry University, 210037, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Wengang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanjing Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.410625.4", 
          "name": [
            "College of Furnishings and Industrial Design, Nanjing Forestry University, 210037, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guan", 
        "givenName": "Huiyuan", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1617/s11527-013-0056-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001248253", 
          "https://doi.org/10.1617/s11527-013-0056-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matdes.2014.03.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010059572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biosystemseng.2008.03.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036228234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/09544062jmes1084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064450088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/09544062jmes1084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064450088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15376/biores.11.3.6836-6853", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067770109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5897/ijps11.1229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073486518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15376/biores.13.1.256-271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104203445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.22382/wfs-2018-014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1112515041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.22382/wfs-2018-014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1112515041"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The aim of this study is to build a new numerical model of a mortise-and-tenon joint based on the finite element method (FEM) considering glue line and friction coefficient to analyze the semi-rigid wood joint. Firstly, the friction coefficient, glue distributions and strengths of the mortise-and-tenon joint were determined by experimental methods. Secondly, these parameters were specified to a T-shaped mortise-and-tenon joint model to build a finite element model of joint by FEM. Finally, both withdrawal and bending load capacity of T-shaped specimens were investigated by experimental and numerical methods. The results showed that the testing methods used to determine the coefficient, distributions and strengths of the glued mortise-and-tenon joint were all effective enough to determine the mechanical properties of the wood mortise-and-tenon joint, and the finite element model of joint can be applied to analyze the semi-rigid mortise-and-tenon joint with consistency beyond 85%. These methods and finite element models will contribute to the analysis of wood products and wood constructions.", 
    "genre": "non_research_article", 
    "id": "sg:pub.10.1186/s10086-019-1794-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136556", 
        "issn": [
          "1435-0211", 
          "1611-4663"
        ], 
        "name": "Journal of Wood Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "65"
      }
    ], 
    "name": "A finite element model of semi-rigid mortise-and-tenon joint considering glue line and friction coefficient", 
    "pagination": "14", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ddda92b07293dd6d50a77b9e1fc85d8f77772e717088f23b65c75a0d18719622"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s10086-019-1794-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112738953"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s10086-019-1794-4", 
      "https://app.dimensions.ai/details/publication/pub.1112738953"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:41", 
    "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/v90/0000000358_0000000358/records_127441_00000011.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs10086-019-1794-4"
  }
]
 

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.10.1186/s10086-019-1794-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s10086-019-1794-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s10086-019-1794-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s10086-019-1794-4'


 

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

91 TRIPLES      21 PREDICATES      35 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s10086-019-1794-4 schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author Nece09c6d5e8a4b249422c56b96dc94ea
4 schema:citation sg:pub.10.1617/s11527-013-0056-y
5 https://doi.org/10.1016/j.biosystemseng.2008.03.012
6 https://doi.org/10.1016/j.matdes.2014.03.066
7 https://doi.org/10.1243/09544062jmes1084
8 https://doi.org/10.15376/biores.11.3.6836-6853
9 https://doi.org/10.15376/biores.13.1.256-271
10 https://doi.org/10.22382/wfs-2018-014
11 https://doi.org/10.5897/ijps11.1229
12 schema:datePublished 2019-12
13 schema:datePublishedReg 2019-12-01
14 schema:description The aim of this study is to build a new numerical model of a mortise-and-tenon joint based on the finite element method (FEM) considering glue line and friction coefficient to analyze the semi-rigid wood joint. Firstly, the friction coefficient, glue distributions and strengths of the mortise-and-tenon joint were determined by experimental methods. Secondly, these parameters were specified to a T-shaped mortise-and-tenon joint model to build a finite element model of joint by FEM. Finally, both withdrawal and bending load capacity of T-shaped specimens were investigated by experimental and numerical methods. The results showed that the testing methods used to determine the coefficient, distributions and strengths of the glued mortise-and-tenon joint were all effective enough to determine the mechanical properties of the wood mortise-and-tenon joint, and the finite element model of joint can be applied to analyze the semi-rigid mortise-and-tenon joint with consistency beyond 85%. These methods and finite element models will contribute to the analysis of wood products and wood constructions.
15 schema:genre non_research_article
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf N4fff70665da448cd9e71d984f11b6dc1
19 Nb7bf3244819247f888e1b8fce7eb346f
20 sg:journal.1136556
21 schema:name A finite element model of semi-rigid mortise-and-tenon joint considering glue line and friction coefficient
22 schema:pagination 14
23 schema:productId N2b5ad33726884c7891458ccc0d6807f3
24 N88ef7cc0782f487681a9de6f64934969
25 Nd2eb5540ef44460981dcc36fc59d1aea
26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112738953
27 https://doi.org/10.1186/s10086-019-1794-4
28 schema:sdDatePublished 2019-04-11T11:41
29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
30 schema:sdPublisher Nbeda3404ebb8421eafeafd7270fc0522
31 schema:url https://link.springer.com/10.1186%2Fs10086-019-1794-4
32 sgo:license sg:explorer/license/
33 sgo:sdDataset articles
34 rdf:type schema:ScholarlyArticle
35 N2b5ad33726884c7891458ccc0d6807f3 schema:name dimensions_id
36 schema:value pub.1112738953
37 rdf:type schema:PropertyValue
38 N4fff70665da448cd9e71d984f11b6dc1 schema:volumeNumber 65
39 rdf:type schema:PublicationVolume
40 N88ef7cc0782f487681a9de6f64934969 schema:name doi
41 schema:value 10.1186/s10086-019-1794-4
42 rdf:type schema:PropertyValue
43 N9df1be6d2e634a3584eed23d6c555a2b schema:affiliation https://www.grid.ac/institutes/grid.410625.4
44 schema:familyName Hu
45 schema:givenName Wengang
46 rdf:type schema:Person
47 Nb1393855048048c8b48cf9de031d4083 rdf:first Nd8d80bd081ef41c3b18abc465c2a6041
48 rdf:rest rdf:nil
49 Nb7bf3244819247f888e1b8fce7eb346f schema:issueNumber 1
50 rdf:type schema:PublicationIssue
51 Nbeda3404ebb8421eafeafd7270fc0522 schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 Nd2eb5540ef44460981dcc36fc59d1aea schema:name readcube_id
54 schema:value ddda92b07293dd6d50a77b9e1fc85d8f77772e717088f23b65c75a0d18719622
55 rdf:type schema:PropertyValue
56 Nd8d80bd081ef41c3b18abc465c2a6041 schema:affiliation https://www.grid.ac/institutes/grid.410625.4
57 schema:familyName Guan
58 schema:givenName Huiyuan
59 rdf:type schema:Person
60 Nece09c6d5e8a4b249422c56b96dc94ea rdf:first N9df1be6d2e634a3584eed23d6c555a2b
61 rdf:rest Nb1393855048048c8b48cf9de031d4083
62 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
63 schema:name Mathematical Sciences
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
66 schema:name Numerical and Computational Mathematics
67 rdf:type schema:DefinedTerm
68 sg:journal.1136556 schema:issn 1435-0211
69 1611-4663
70 schema:name Journal of Wood Science
71 rdf:type schema:Periodical
72 sg:pub.10.1617/s11527-013-0056-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001248253
73 https://doi.org/10.1617/s11527-013-0056-y
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1016/j.biosystemseng.2008.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036228234
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1016/j.matdes.2014.03.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010059572
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1243/09544062jmes1084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064450088
80 rdf:type schema:CreativeWork
81 https://doi.org/10.15376/biores.11.3.6836-6853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067770109
82 rdf:type schema:CreativeWork
83 https://doi.org/10.15376/biores.13.1.256-271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104203445
84 rdf:type schema:CreativeWork
85 https://doi.org/10.22382/wfs-2018-014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112515041
86 rdf:type schema:CreativeWork
87 https://doi.org/10.5897/ijps11.1229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073486518
88 rdf:type schema:CreativeWork
89 https://www.grid.ac/institutes/grid.410625.4 schema:alternateName Nanjing Forestry University
90 schema:name College of Furnishings and Industrial Design, Nanjing Forestry University, 210037, Nanjing, China
91 rdf:type schema:Organization
 




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


...