Optimal design of tapered composite structures with a dynamic boundary subset blending model

被引:1
作者
Zhang, Zijian [1 ]
Ma, Xiaoping [1 ]
Jin, Peng [2 ]
机构
[1] Chinese Acad Sci, Inst Engn Thermophys, Beijing, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Aerosp Engn, Luoyu Rd 1037, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Blending; ply-drops; tapered composite structures; genetic algorithm; optimization; STACKING-SEQUENCE OPTIMIZATION; GENETIC ALGORITHM; PANEL; FRAMEWORK;
D O I
10.1177/0954410021989122
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Based on the classical bending rule that the plies composing the thinner region should be a subset of the ones of the thicker region for two adjacent laminates, a genetic algorithm-based dynamic boundary subset blending model is proposed to optimize the global stacking sequence of composite structures with ply-drops. Besides the stacking sequence chromosome of the guide laminate and ply number chromosome of each panel, a chromosome of a dynamic boundary subset factor is introduced for each panel to obtain a fully blended design. The lower and upper bounds of the dynamic boundary subset factor chromosome for each panel is determined by the ply number chromosomes of the panel and its adjacent panels. The stacking sequence of each panel can be determined by selection from combinations of various stacking sequences. The proposed blending model can solve the problem that laminates with identical thicknesses have the completely same layups even when they are not adjacent to each other. The optimal feasible designs outperform other published solutions for the 18-panel horseshoe configuration problem based on the classical bending rule.
引用
收藏
页码:2047 / 2058
页数:12
相关论文
共 26 条
  • [1] Abdalla MM., 2008, P 49 AIAA ASME ASCE
  • [2] Genetic algorithm optimization and blending of composite laminates by locally reducing laminate thickness
    Adams, DB
    Watson, LT
    Gürdal, Z
    Anderson-Cook, CM
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2004, 35 (01) : 35 - 43
  • [3] [Anonymous], 2009, P 50 AIAA ASME ASCE
  • [4] Campen J., 2011, OPTIMUM LAY UP DESIG
  • [5] Deb K., 1995, Complex Systems, V9, P115
  • [6] An optimization method for composite structures with ply-drops
    Fan, Hai-Tao
    Wang, Hai
    Chen, Xiu-Hua
    [J]. COMPOSITE STRUCTURES, 2016, 136 : 650 - 661
  • [7] Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
    Herrera, F
    Lozano, M
    Verdegay, JL
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 1998, 12 (04) : 265 - 319
  • [8] Multi-step blended stacking sequence design of panel assemblies with buckling constraints
    Ijsselmuiden, Samuel T.
    Abdalla, Mostafa M.
    Seresta, Omprakash
    Gurdal, Zafer
    [J]. COMPOSITES PART B-ENGINEERING, 2009, 40 (04) : 329 - 336
  • [9] Optimal design of laminated composite structures with ply drops using stacking sequence tables
    Irisarri, F. -X.
    Lasseigne, A.
    Leroy, F. -H.
    Le Riche, R.
    [J]. COMPOSITE STRUCTURES, 2014, 107 : 559 - 569
  • [10] Blending design of composite laminated structure with panel permutation sequence
    Jin, P.
    Wang, Y.
    Zhong, X.
    Yang, J.
    Sun, Z.
    [J]. AERONAUTICAL JOURNAL, 2018, 122 (1248) : 333 - 347