Data-driven design of deployable structures: Literature review and multi-criteria optimization approach

被引:3
|
作者
Dragoljevic, Milan [1 ]
Viscuso, Salvatore [1 ]
Zanelli, Alessandra [1 ]
机构
[1] Politecn Milan, Dept Architecture Built Environm & Construct Engn, Via Ponzio 31, I-20133 Milan, Italy
关键词
deployable structures; classification; pantographs; Zeigler's dome; scissor mechanism; deployable dome; structural optimization; generative algorithm;
D O I
10.1515/cls-2021-0022
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Classification and development of the deploy-able structures is an ongoing process that started at the end of 20th century and is getting more and more attention throughout 21st. With the development of the technology, constructive systems and materials, these categorizations changed - adding new typologies and excluding certain ones. This work is giving a critical review of the work done previously and on the change of the categories. The special interest is given to the pantographs (or scissor structures) and the Zeigler's dome as the form of their application. It is noticeable that after its introduction in 1977, the dome was a part of the initial classification, but with the time it lost its place. The reason for this is the introduction of more efficient scissor dome structures. However, perhaps with the use of data-driven design, this dome can be optimized and become relevant again. The second part of the paper is dedicated to the development of the structural optimization algorithm for panto-graph structures and its application on the example of Zei-gler's dome. Besides the direct analysis, the final part in-cludes the generative optimization algorithm which could help to a decision-maker in the early stages of the design to understand and select the options for the structure.
引用
收藏
页码:241 / 258
页数:18
相关论文
共 50 条
  • [1] A hybrid approach based on multi-criteria decision making and data-driven optimization in solving portfolio selection problem
    Doaei, Meysam
    Dehnad, Kazem
    Dehnad, Mahdi
    [J]. OPSEARCH, 2024,
  • [2] Unveiling environmental resilience: A data-driven multi-criteria decision-making approach
    Ozdemir, Salih
    [J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2024, 108
  • [3] A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations
    Aysha Meshaal Alshamsi
    Hadeel El-Kassabi
    Mohamed Adel Serhani
    Chafik Bouhaddioui
    [J]. Education and Information Technologies, 2023, 28 : 10421 - 10458
  • [4] A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations
    Alshamsi, Aysha Meshaal
    El-Kassabi, Hadeel
    Serhani, Mohamed Adel
    Bouhaddioui, Chafik
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2023, 28 (08) : 10421 - 10458
  • [5] Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis
    Biswas, Ayan
    Dutta, Soumya
    Lawrence, Earl
    Patchett, John
    Calhoun, Jon C.
    Ahrens, James
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 27 (12) : 4439 - 4454
  • [6] A data-driven multi-criteria decision-making approach for assessing new product conceptual designs
    Arbabi, Hamidreza
    Vahedi-Nouri, Behdin
    Iranmanesh, Seyedhossein
    Tavakkoli-Moghaddam, Reza
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2022, 236 (14) : 1900 - 1911
  • [7] A preference driven multi-criteria optimization tool for HVAC design and operation
    Pantelic, Jovan
    Raphael, Benny
    Tham, Kwok Wai
    [J]. ENERGY AND BUILDINGS, 2012, 55 : 118 - 126
  • [8] A review of operations management literature: a data-driven approach
    Manikas, Andrew
    Boyd, Lynn
    Guan, Jian
    Hoskins, Kyle
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (05) : 1442 - 1461
  • [9] Data-Driven Multi-Criteria Assessment Framework for Analyzing the Reliability of Bus Services
    Hassannayebi, Erfan
    Hashemi, Hossein
    Basirati, Mohadese
    Saidi, Saeid
    Ebrahimi, Amirmohammad
    [J]. TRANSPORTATION RESEARCH RECORD, 2024, 2678 (04) : 415 - 439
  • [10] Data-driven multi-criteria decision support method for electric vehicle selection
    Tian, Zhang-peng
    Liang, He-ming
    Nie, Ru-xin
    Wang, Xiao-kang
    Wang, Jian-qiang
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 177