水下非均匀环肋圆柱壳多学科设计优化

Multidisciplinary design optimization of non-uniform stiffened cylindrical shells

  • 摘要:
      目的  水下结构对强度、质量和振动噪声等的要求严格,为提高结构整体性能,从多学科角度优化水下结构设计具有重要意义。
      方法  首先,采用改进的目标传递方法和代理模型优化水下结构振动声辐射设计,即采用改进的目标传递方法(将拉格朗日对偶原理运用到传统分级目标传递法中)实现对设计问题的分级和不同学科性能下的并行优化,并构建Kriging代理模型来解决水下结构振动声辐射计算耗时的问题;然后,以水下环肋圆柱壳(水下航行器)为例,针对轻量化、强度、振动与声辐射方面的要求,选取6个设计变量,以环肋圆柱壳的质量、应力、共振频率及其所处位置的声功率级作为目标函数,建立并行模型进行多学科设计优化。
      结果  结果表明,Kriging代理模型可准确和实时预报空间任一点的响应;改进的目标传递法不仅获得了多学科优化结果,且与传统传递方法相比收敛性提高了30%。
      结论  研究表明,基于所提方法得到的多学科设计优化结果更理想且收敛性更好。

     

    Abstract:
      Objectives  Underwater structures have strict requirements for intensity, mass, vibration, noise and so on. From a multidisciplinary perspective, realizing the design optimization of such structures to improve their overall performance is of great significance.
      Methods  The enhanced analytical target cascading method and surrogate model are employed for the design optimization of underwater structure vibration and acoustic radiation: an enhanced target cascading (ATC) method based on the Lagrange duality theory and traditional ATC method is established to achieve the classification of problems and parallel optimization of the performance of different disciplines; and the Kriging surrogate model is used to solve the time-consuming problem in the calculation of the vibration and acoustic radiation of underwater structures. Underwater non-uniform stiffened cylindrical shells (i.e., underwater unmanned vehicles) are selected for multidisciplinary design optimization (MDO): six design variables are selected, and the structural mass, stress components, resonant frequency and corresponding radiated power level are regarded as objectives for establishing the parallel optimization model when considering the vibration and acoustic radiation characteristics and lightweight requirements.
      Results  The results show that the Kriging surrogate model can accurately predict the response in the design space, while the enhanced ATC method can obtain effective multidisciplinary optimization results with a 30% increase in convergence properties.
      Conclusions  This study shows that multidisciplinary design optimization based on the enhanced ATC method and surrogate model not only obtains effective results but also has better convergence properties.

     

/

返回文章
返回