Design space optimization using design space adjustment and refinement

Cited 17 time in webofscience Cited 0 time in scopus
  • Hit : 475
  • Download : 10
To deal with large-scale problems that often occur in industry, the authors propose design space optimization with design space adjustment and refinement. In topology optimization, a design space is specified by the number of design variables, and their layout or configuration. The proposed procedure has two efficient algorithms for adjusting and refining design space. First, the design space can be adjusted in terms of design space expansion and reduction. This capability is evolutionary because the design domain expands or reduces wherever necessary. Second, the design space can be refined uniformly or selectively wherever and whenever necessary, ensuring a target resolution with fewer elements, especially for selective refinement. Accordingly, the proposed procedure can handle large-scale problems by solving a sequence of smaller problems. Two examples show the efficiency of the proposed approach.
Publisher
SPRINGER
Issue Date
2008-01
Language
English
Article Type
Article
Keywords

EVOLUTIONARY STRUCTURAL OPTIMIZATION; LEVEL-SET METHOD; TOPOLOGY OPTIMIZATION; HOMOGENIZATION METHOD; SHAPE; ALGORITHM

Citation

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.35, pp.41 - 54

ISSN
1615-147X
DOI
10.1007/s00158-007-0112-8
URI
http://hdl.handle.net/10203/91393
Appears in Collection
GT-Journal Papers(저널논문)ME-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 17 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0