BLISS/S: a new method for two-level structural optimization

被引:0
|
作者
Sobieszczanski-Sobieski, J
Kodiyalam, S
机构
[1] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[2] Lockheed Martin Space Syst Co, Adv Technol Ctr, Sunnyvale, CA 94089 USA
关键词
structures; optimization; bi-level; two-level; multilevel; nonlinear programming;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The paper describes a two-level method for structural optimization for a minimum weight under the local strength and displacement constraints. The method divides the optimization task into separate optimizations of the individual substructures (in the extreme, the individual components) coordinated by the assembled structure optimization. The substructure optimizations use local cross-sections as design variables and satisfy the highly nonlinear local constraints of strength and buckling. The design variables in the assembled structure optimization govern the structure overall shape and handle the displacement constraints. The assembled structure objective function is the objective in each of the above optimizations. The substructure optimizations are linked to the assembled structure optimization by the sensitivity derivatives. The method was derived from a previously reported two-level optimization method for engineering systems, e.g. aerospace vehicles, that comprise interacting modules to be optimized independently, coordination provided by a system-level optimization. This scheme was adapted to structural optimization by treating each substructure as a module in a system, and using the standard finite element analysis as the system analysis. A numerical example, a hub structure framework, is provided to show the new method agreement with a standard, no-decomposition optimization. The new method advantage lies primarily in the autonomy of the individual substructure optimization that enables concurrency of execution to compress the overall task elapsed time. The advantage increases with the magnitude of that task.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [41] A TWO-LEVEL LOAN PORTFOLIO OPTIMIZATION PROBLEM
    Hu, JianQiang
    Liu, Tie
    Tong, Jun
    Cao, Rongzeng
    Yang, Bo
    PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE, 2010, : 2614 - 2619
  • [42] A Two-Level Genetic Algorithm for Electromagnetic Optimization
    Crevecoeur, Guillaume
    Sergeant, Peter
    Dupre, Luc
    Van de Walle, Rik
    IEEE TRANSACTIONS ON MAGNETICS, 2010, 46 (07) : 2585 - 2595
  • [43] Manifold mapping: a two-level optimization technique
    Echeverria, D.
    Hemker, P. W.
    COMPUTING AND VISUALIZATION IN SCIENCE, 2008, 11 (4-6) : 193 - 206
  • [44] Structural decomposition for quantum two-level systems
    Zhang, Guofeng
    Petersen, Ian R.
    AUTOMATICA, 2020, 113
  • [45] Improved genetic algorithm with two-level multipoint approximation for complex frame structural optimization
    Ren Xingyu
    Fu Jiayi
    Huang Hai
    10TH ASIAN-PACIFIC CONFERENCE ON AEROSPACE TECHNOLOGY AND SCIENCE & THE 4TH ASIAN JOINT SYMPOSIUM ON AEROSPACE ENGINEERING (APCATS'2019 /AJSAE'2019), 2020, 1509
  • [46] A new method for low power design of two-level logic circuits
    Theodoridis, G
    Theoharis, S
    Soudris, D
    Goutis, C
    VLSI DESIGN, 1999, 9 (02) : 147 - 157
  • [47] A new method of construction waste classification based on two-level fusion
    Song, Lin
    Zhao, Huixuan
    Ma, Zongfang
    Song, Qi
    PLOS ONE, 2022, 17 (12):
  • [48] A new searchless two-level ifs fractal image encoding method
    Wu, XW
    Jackson, DJ
    Chen, HC
    COMPUTERS AND THEIR APPLICATIONS, 2004, : 6 - 10
  • [49] Two-level Fuzzy Inference System for Aircraft's Structural Health Monitoring
    Al-Salah, Abdulla
    Zein-Sabatto, Saleh
    Bodruzzaman, Mohammad
    Mikhail, Maged
    2013 PROCEEDINGS OF IEEE SOUTHEASTCON, 2013,
  • [50] Actuator placement optimization for adaptive trusses using a two-level multipoint approximation method
    Haichao An
    Kuicheng Xian
    Hai Huang
    Structural and Multidisciplinary Optimization, 2016, 53 : 29 - 48