A Semi-Supervised Meta-Heuristic Shell Form-Finding Approach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-29

AUTHORS

Abtin Baghdadi, Mahmoud Heristchian, Harald Kloft

ABSTRACT

This paper proposes a general semi-supervised form-finding approach for optimization of shells, where an initial geometry referred to as the “Directive Form (DF)” influences and directs the shape optimization process. The degree of the influence of the DF over the optimization process is controlled by the optimizer algorithm. A normal option involves stronger influence of DF within the early stages of the optimization process and a vanishing effect towards the later stages of the process. The method is illustrated through an example using the artificial intelligence for the optimization process. The selected problem is optimized with particle swarm optimization algorithm in MATLAB. The required structural analysis of the optimization steps is carried out by the finite element software SAP2000 which is linked up with the optimization algorithm via the application programming interface software. The coordinates of the nodes over the surface of the shell are selected as the optimization variables, and the semi-supervised algorithm finds the desired optimal form by minimizing the eccentricity of the forces as the target function. Finally, the paper presents a simple and workable stress calculation method for the optimized shells under gravitational loads. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40996-019-00264-0

DOI

http://dx.doi.org/10.1007/s40996-019-00264-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113051255


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": "Braunschweig University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6738.a", 
          "name": [
            "Department of Architecture Civil Engineering and Environmental Sciences, Institute of Structural Design, TU Braunschweig, Braunschweig, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baghdadi", 
        "givenName": "Abtin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Islamic Azad University, Tehran", 
          "id": "https://www.grid.ac/institutes/grid.411463.5", 
          "name": [
            "Department of civil engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heristchian", 
        "givenName": "Mahmoud", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Braunschweig University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6738.a", 
          "name": [
            "Department of Architecture Civil Engineering and Environmental Sciences, Institute of Structural Design, TU Braunschweig, Braunschweig, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kloft", 
        "givenName": "Harald", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-319-02964-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012211512", 
          "https://doi.org/10.1007/978-3-319-02964-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-02964-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012211512", 
          "https://doi.org/10.1007/978-3-319-02964-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nme.800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012857387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compstruc.2009.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013648009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-016-1461-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021633807", 
          "https://doi.org/10.1007/s00158-016-1461-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00158-016-1461-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021633807", 
          "https://doi.org/10.1007/s00158-016-1461-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00707-013-1020-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028987960", 
          "https://doi.org/10.1007/s00707-013-1020-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tal.1151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029475569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-05549-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042155334", 
          "https://doi.org/10.1007/978-3-319-05549-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-05549-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042155334", 
          "https://doi.org/10.1007/978-3-319-05549-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-48012-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048533376", 
          "https://doi.org/10.1007/978-3-319-48012-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1260/0266351991494722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064577784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1260/0266351991494722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064577784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00004-017-0355-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091889739", 
          "https://doi.org/10.1007/s00004-017-0355-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.advengsoft.2018.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105139476"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-29", 
    "datePublishedReg": "2019-03-29", 
    "description": "This paper proposes a general semi-supervised form-finding approach for optimization of shells, where an initial geometry referred to as the \u201cDirective Form (DF)\u201d influences and directs the shape optimization process. The degree of the influence of the DF over the optimization process is controlled by the optimizer algorithm. A normal option involves stronger influence of DF within the early stages of the optimization process and a vanishing effect towards the later stages of the process. The method is illustrated through an example using the artificial intelligence for the optimization process. The selected problem is optimized with particle swarm optimization algorithm in MATLAB. The required structural analysis of the optimization steps is carried out by the finite element software SAP2000 which is linked up with the optimization algorithm via the application programming interface software. The coordinates of the nodes over the surface of the shell are selected as the optimization variables, and the semi-supervised algorithm finds the desired optimal form by minimizing the eccentricity of the forces as the target function. Finally, the paper presents a simple and workable stress calculation method for the optimized shells under gravitational loads.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40996-019-00264-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1270821", 
        "issn": [
          "1028-6284", 
          "2364-1843"
        ], 
        "name": "Iranian Journal of Science and Technology, Transactions of Civil Engineering", 
        "type": "Periodical"
      }
    ], 
    "name": "A Semi-Supervised Meta-Heuristic Shell Form-Finding Approach", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2343cc59d8acf3aef55f5dbc41729c9d390a898f4bac989bd4ddf79b824caa83"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40996-019-00264-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113051255"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40996-019-00264-0", 
      "https://app.dimensions.ai/details/publication/pub.1113051255"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78968_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs40996-019-00264-0"
  }
]
 

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.10.1007/s40996-019-00264-0'

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/s40996-019-00264-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40996-019-00264-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40996-019-00264-0'


 

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

108 TRIPLES      21 PREDICATES      35 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40996-019-00264-0 schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author N760ddbf25d60427cbbe59ccc7abba2b7
4 schema:citation sg:pub.10.1007/978-3-319-02964-1
5 sg:pub.10.1007/978-3-319-05549-7
6 sg:pub.10.1007/978-3-319-48012-1
7 sg:pub.10.1007/s00004-017-0355-7
8 sg:pub.10.1007/s00158-016-1461-y
9 sg:pub.10.1007/s00707-013-1020-1
10 https://doi.org/10.1002/nme.800
11 https://doi.org/10.1002/tal.1151
12 https://doi.org/10.1016/j.advengsoft.2018.06.002
13 https://doi.org/10.1016/j.compstruc.2009.01.003
14 https://doi.org/10.1260/0266351991494722
15 schema:datePublished 2019-03-29
16 schema:datePublishedReg 2019-03-29
17 schema:description This paper proposes a general semi-supervised form-finding approach for optimization of shells, where an initial geometry referred to as the “Directive Form (DF)” influences and directs the shape optimization process. The degree of the influence of the DF over the optimization process is controlled by the optimizer algorithm. A normal option involves stronger influence of DF within the early stages of the optimization process and a vanishing effect towards the later stages of the process. The method is illustrated through an example using the artificial intelligence for the optimization process. The selected problem is optimized with particle swarm optimization algorithm in MATLAB. The required structural analysis of the optimization steps is carried out by the finite element software SAP2000 which is linked up with the optimization algorithm via the application programming interface software. The coordinates of the nodes over the surface of the shell are selected as the optimization variables, and the semi-supervised algorithm finds the desired optimal form by minimizing the eccentricity of the forces as the target function. Finally, the paper presents a simple and workable stress calculation method for the optimized shells under gravitational loads.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf sg:journal.1270821
22 schema:name A Semi-Supervised Meta-Heuristic Shell Form-Finding Approach
23 schema:pagination 1-8
24 schema:productId N24f904fd62fb4ac7aa978105e4038831
25 N4ee024a2c5734a19aaed4960b56572d9
26 N871b0ea2676b420481c60f72d202bf1c
27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113051255
28 https://doi.org/10.1007/s40996-019-00264-0
29 schema:sdDatePublished 2019-04-11T13:20
30 schema:sdLicense https://scigraph.springernature.com/explorer/license/
31 schema:sdPublisher N69e86c6eb4c94708b5309cc2e8c3ec04
32 schema:url https://link.springer.com/10.1007%2Fs40996-019-00264-0
33 sgo:license sg:explorer/license/
34 sgo:sdDataset articles
35 rdf:type schema:ScholarlyArticle
36 N046ced980a9f42e194486a0023fd89e5 schema:affiliation https://www.grid.ac/institutes/grid.6738.a
37 schema:familyName Baghdadi
38 schema:givenName Abtin
39 rdf:type schema:Person
40 N0c146ed5acc940da8de20a72ce7df9c1 schema:affiliation https://www.grid.ac/institutes/grid.6738.a
41 schema:familyName Kloft
42 schema:givenName Harald
43 rdf:type schema:Person
44 N24f904fd62fb4ac7aa978105e4038831 schema:name readcube_id
45 schema:value 2343cc59d8acf3aef55f5dbc41729c9d390a898f4bac989bd4ddf79b824caa83
46 rdf:type schema:PropertyValue
47 N4ee024a2c5734a19aaed4960b56572d9 schema:name dimensions_id
48 schema:value pub.1113051255
49 rdf:type schema:PropertyValue
50 N69e86c6eb4c94708b5309cc2e8c3ec04 schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 N70f33205bc104fbbb462124dcbfdde99 rdf:first N0c146ed5acc940da8de20a72ce7df9c1
53 rdf:rest rdf:nil
54 N760ddbf25d60427cbbe59ccc7abba2b7 rdf:first N046ced980a9f42e194486a0023fd89e5
55 rdf:rest Nf95626d476854b8f95292becc98c6285
56 N871b0ea2676b420481c60f72d202bf1c schema:name doi
57 schema:value 10.1007/s40996-019-00264-0
58 rdf:type schema:PropertyValue
59 Ne716312d4ec84033b780f61447adf8c0 schema:affiliation https://www.grid.ac/institutes/grid.411463.5
60 schema:familyName Heristchian
61 schema:givenName Mahmoud
62 rdf:type schema:Person
63 Nf95626d476854b8f95292becc98c6285 rdf:first Ne716312d4ec84033b780f61447adf8c0
64 rdf:rest N70f33205bc104fbbb462124dcbfdde99
65 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
66 schema:name Mathematical Sciences
67 rdf:type schema:DefinedTerm
68 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
69 schema:name Numerical and Computational Mathematics
70 rdf:type schema:DefinedTerm
71 sg:journal.1270821 schema:issn 1028-6284
72 2364-1843
73 schema:name Iranian Journal of Science and Technology, Transactions of Civil Engineering
74 rdf:type schema:Periodical
75 sg:pub.10.1007/978-3-319-02964-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012211512
76 https://doi.org/10.1007/978-3-319-02964-1
77 rdf:type schema:CreativeWork
78 sg:pub.10.1007/978-3-319-05549-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042155334
79 https://doi.org/10.1007/978-3-319-05549-7
80 rdf:type schema:CreativeWork
81 sg:pub.10.1007/978-3-319-48012-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048533376
82 https://doi.org/10.1007/978-3-319-48012-1
83 rdf:type schema:CreativeWork
84 sg:pub.10.1007/s00004-017-0355-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091889739
85 https://doi.org/10.1007/s00004-017-0355-7
86 rdf:type schema:CreativeWork
87 sg:pub.10.1007/s00158-016-1461-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1021633807
88 https://doi.org/10.1007/s00158-016-1461-y
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/s00707-013-1020-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028987960
91 https://doi.org/10.1007/s00707-013-1020-1
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1002/nme.800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012857387
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1002/tal.1151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029475569
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.advengsoft.2018.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105139476
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.compstruc.2009.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013648009
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1260/0266351991494722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064577784
102 rdf:type schema:CreativeWork
103 https://www.grid.ac/institutes/grid.411463.5 schema:alternateName Islamic Azad University, Tehran
104 schema:name Department of civil engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
105 rdf:type schema:Organization
106 https://www.grid.ac/institutes/grid.6738.a schema:alternateName Braunschweig University of Technology
107 schema:name Department of Architecture Civil Engineering and Environmental Sciences, Institute of Structural Design, TU Braunschweig, Braunschweig, Germany
108 rdf:type schema:Organization
 




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


...