{
  "abstract": "Existing optimization studies on large-span Suspen-Dome structures have mainly focused on either size optimization of the upper reticulated shell or topology optimization of the lower cable-strut system. Such a separated strategy prevents the integrated optimization of the whole structure, restricts the design space, and limits further improvement in structural performance. This study investigates the integrated optimization of prefabricated large-span Suspen-Dome structures by simultaneously considering the size, geometric configuration, and topology of the upper reticulated shell, together with the topology and cable forces of the lower cable-strut system. To ensure practical applicability, the design variables are classified into topological and size variables. The former define the structural configuration and connectivity, while the latter determine material-related properties. The optimization aims to maximize stiffness and minimize weight, subject to member slenderness, material strength, local stability, and overall structural stability constraints. An Multi-Layer Perceptron (MLP)-based candidate screening model is introduced to accelerate the optimization algorithm and reduce unnecessary ANSYS analyses. A partial full-stress design (PFSD) concept is proposed, in which the reticulated shell serves as a structural safety reserve. The proposed structural mapping method-improved plant growth algorithm (SMM-iPGSA) is validated through two examples. Results show that the optimized structures exhibit improved stability, more uniform stress distribution, and displacements well below the allowable limits.",
  "abstract_shown": true,
  "affiliations": [
    "College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, PR China.",
    "Beijing Engineering Research Center of High-rise and Large-Span Pre-stressed Steel Structures, Beijing, PR China."
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
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        0
      ],
      "name": "Yuchen Dai",
      "orcid": "0009-0001-0858-1108"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Ailin Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Liuhaoxiang Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Caisen Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Guanhua Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuanyuan Li"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9w6x0gnz0zfe4.bib",
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  "doi": "10.1371/journal.pone.0361862",
  "fulltext_url": "https://europepmc.org/articles/PMC13726994",
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    "1932-6203"
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  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
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  "published": "2026-11-02",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/9w6x0gnz0zfe4.ris",
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  "subjects": [
    {
      "field": "chemistry",
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  "title": "Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA",
  "title_text": "Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T12:22:48Z",
  "url": "https://research.draconitic.com/paper/9w6x0gnz0zfe4",
  "venue": "PLOS One",
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}