Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Selection Criterion of Reanalysis Methods for Plane Truss Optimization

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      MDPI AG, 2023.
    • الموضوع:
      2023
    • Collection:
      LCC:Technology
      LCC:Engineering (General). Civil engineering (General)
      LCC:Biology (General)
      LCC:Physics
      LCC:Chemistry
    • نبذة مختصرة :
      Structural reanalysis methods have been proposed to improve the efficiency of structural analysis. However, the methods are typically only applicable to their specific type of structural modification. Since the optimization process often involves multiple types of modifications, it is necessary to establish a criterion for selecting the most suitable reanalysis method for each type of modification, aiming to accelerate the optimization process. In this study, the effects of different types of structural modifications are first analyzed. A qualitative correspondence is established between different types of structural modifications and the mainstream of the reanalysis methods. Secondly, the most suitable reanalysis method for different types of structural modifications is quantitatively analyzed from the aspects of selecting efficiency indicators and clarifying accuracy requirements. Finally, in conjunction with the Structural Topology and Shape Annealing (STSA) algorithm, a criterion for selecting reanalysis methods, which are applicable to the optimization process of plane trusses, is established. To verify the validity of the selection criterion, two types of numerical examples are conducted. The results show that the proposed criterion can effectively improve the efficiency of structural computations.
    • File Description:
      electronic resource
    • ISSN:
      2076-3417
    • Relation:
      https://www.mdpi.com/2076-3417/13/12/6953; https://doaj.org/toc/2076-3417
    • الرقم المعرف:
      10.3390/app13126953
    • الرقم المعرف:
      edsdoj.4f184cb4e9d24aa9b1ce6d58969448ad