• 中文

Jian DengAssociate Professor

邓健,男,工学博士,副教授(长聘),2018年12月毕业于南京航空航天大学航空学院工程力学专业,获南京航空航天大学优秀博士学位论文,入选江苏省科协青托、江苏省科技智库、江苏省科技副总,成果入选“江苏省行业领域十大科技进展”(基础研究领域)。主要从事飞行器先进复合材料结构设计、试验技术、损伤失效机理、轻质结构在服役工况与极端载荷下的设计方法及应用等前沿理论与工程问题的研究工作。研究成果已在Aerospace Sci...Detials

Multidisciplinary design optimization of sandwich-structured radomes

Release time:2020-01-13  Hits:

  • Affiliation of Author(s):航空学院
  • Journal:Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci.
  • Abstract:A multidisciplinary design optimization framework is proposed for sandwich-structured radomes. Radomes ensure the functional operation of antenna systems in adverse environment catering for aerodynamic stresses and payload requirements. The existence of radomes can partially degrade the electromagnetic performance of antenna systems. The electromagnetic performance and mechanical responses are taken into account simultaneously in the optimization design. This is more time-saving and economical compared to the traditional separate considerations on these two aspects. Coupled with multi-island genetic algorithm, transmission coefficient and boresight error are identified as the objectives. Lateral deformation, material failure, and structural stability are included in mechanical analysis. Three-dimensional ray-tracing technique and physical optics based aperture integration method are employed to address interactions between the antenna and radome. Tsai–Wu and maximum stress criteria are used to predict material failure. Structural stability is analyzed using the linear perturbation of stiffness matrices. The applicability of the electromagnetic model is validated using examples of a hemispheric air and single-layered radome. A numerical experiment is conducted to investigate the utility and feasibility of the multidisciplinary design optimization model. Results show that the optimal section profile brings about considerable improvement in transmission coefficient and boresight error. Mechanical constrains are reasonably subjected to the preset limits. Hence, the proposed multidisciplinary design optimization model is an effective and feasible alternative in the environment of radome design. © IMechE 2018.
  • ISSN No.:0954-4062
  • Translation or Not:no
  • Co-author:zgm,Qiao, Yu
  • Correspondence Author:Jian Deng
  • Date of Publication:2019-01-01