The nominal force method for truss geometry and topology optimization incorporating stability considerations

被引:30
|
作者
Descamps, Benoit [1 ]
Coelho, Rajan Filomeno [1 ]
机构
[1] Univ Libre Bruxelles, BATir Dept, B-1050 Brussels, Belgium
关键词
Truss layout optimization; Geometry optimization; Topology optimization; Nodal stability; Local buckling; Nominal force; Plastic design; LAYOUT OPTIMIZATION; LOCAL STABILITY; OPTIMAL-DESIGN; CONTEXT; STRESS;
D O I
10.1016/j.ijsolstr.2014.03.003
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
This paper presents a computationally efficient method for truss layout optimization with stability constraints. Previously proposed approaches that ensure stability of optimal frameworks are first reviewed, showing that existing studies are generally restricted to topology optimization. The present contribution aims to generalize the approach to simultaneous geometry and topology optimization. A lower-bound plastic design formulation under multiple loading will serve as basis for this purpose. The numerical difficulties associated with geometrical variations are identified and the parametrization is adapted accordingly. To avoid nodal instability, the nominal force method is adopted, which introduces artificial loading cases to simulate the effect of geometric imperfections. Hence, the truss systems with unstable nodes are eliminated from the set of optimal solutions. At the same time, the local stability of structural members is ensured via a consistent local buckling criterion. This novel formulation leads to optimal configurations that can be practically used for the preliminary design of structural frameworks. Four applications illustrate the impact of stability constraints on the solution. The importance of geometry optimization is also pointed out by comparing with results that would be unattainable by topology optimization only. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2390 / 2399
页数:10
相关论文
共 50 条
  • [21] A novel global optimization method of truss topology
    Wang Qi
    Lu ZhenZhou
    Tang ZhangChun
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2011, 54 (10) : 2723 - 2729
  • [22] A novel global optimization method of truss topology
    WANG Qi
    Science China(Technological Sciences), 2011, (10) : 2723 - 2729
  • [23] A novel global optimization method of truss topology
    WANG QiLU ZhenZhou TANG ZhangChun School of AeronauticsNorthwestern Polytechnical UniversityXian China
    Science China(Technological Sciences), 2011, 54 (10) : 2723 - 2729
  • [24] A novel global optimization method of truss topology
    Qi Wang
    ZhenZhou Lu
    ZhangChun Tang
    Science China Technological Sciences, 2011, 54 : 2723 - 2729
  • [25] Sizing, geometry and topology optimization of trusses via force method and genetic algorithm
    Rahami, H.
    Kaveh, A.
    Gholipour, Y.
    ENGINEERING STRUCTURES, 2008, 30 (09) : 2360 - 2369
  • [26] Truss topology optimization under uncertain nodal locations with proportional topology optimization method
    Fu, Zhifang
    Wang, Chunjie
    Zhao, Junpeng
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2017, 45 (02) : 190 - 206
  • [27] Robust geometry and topology optimization of plane frames using order statistics and force density method with global stability constraint
    Shen, Wei
    Ohsaki, Makoto
    Yamakawa, Makoto
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2021, 122 (14) : 3653 - 3677
  • [28] Multiobjective topology optimization of truss structures with kinematic stability repair
    Richardson, James N.
    Adriaenssens, Sigrid
    Bouillard, Philippe
    Coelho, Rajan Filomeno
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2012, 46 (04) : 513 - 532
  • [29] Topology Optimization of Truss Structures Considering Stress and Stability Constraints
    May Thu Nwe Nwe
    Guest, James K.
    STRUCTURES CONGRESS 2019: BUILDINGS AND NATURAL DISASTERS, 2019, : 49 - 58
  • [30] Truss topology design and sizing optimization with guaranteed kinematic stability
    Mohammad Shahabsafa
    Ramin Fakhimi
    Weiming Lei
    Sicheng He
    Joaquim R. R. A. Martins
    Tamás Terlaky
    Luis F. Zuluaga
    Structural and Multidisciplinary Optimization, 2021, 63 : 21 - 38