Optimal structural design of a morphing aircraft wing using parallel Non-dominated Sorting Genetic Algorithm II (NSGA II)

被引:2
|
作者
Bharti, Smita [1 ]
Frecker, Mary [1 ]
Lesieutre, George [2 ]
机构
[1] Penn State Univ, Dept Mech & Nucl Engn, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Aerosp Engn, University Pk, PA 16802 USA
关键词
topology optimization; Genetic Algorithm; morphing aircraft wing; non-linear finite element analysis; parallel programming; NSGA II;
D O I
10.1117/12.659088
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Achieving multi-mission capability with a single aircraft through in-flight morphing of the wing is highly beneficial due to its efficiency under different flight conditions such as cruise and dash. In addition higher maneuverability is possible from using such a vehicle. As opposed to traditional wing morphing where discrete surfaces such as hinged flaps and ailerons are used, the current research focus is directed towards achieving continuous morphing in order to reduce drag from geometric discontinuities. The present research aims to achieve continuous wing morphing by employing a wing structure comprised of an optimized internal layout of cables and struts. Cables are used as actuators while struts provide rigidity to the wing. In addition to achieving continuous morphing by changing cable length, this structure has the advantage of being light in weight. Also, distributed actuation may be achieved from this scheme. Topology optimization is utilized to optimally place cables and struts in a "bay" or a section of the wing. The optimization is achieved by using Genetic Algorithm. A Generic Algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA II) has been used in this work. The current paper gives an overview of the algorithm and discusses obtained results.
引用
收藏
页码:U112 / U123
页数:12
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