Accurate simulations of ultra-wideband （UWB） electromagnetic radiation from an antenna were developed based on a time-domain finite element method （TDFEM） based on p-step Lagrange interpolation for the temporal ex...Accurate simulations of ultra-wideband （UWB） electromagnetic radiation from an antenna were developed based on a time-domain finite element method （TDFEM） based on p-step Lagrange interpolation for the temporal expansion. The motivation was to utilize the good interpolation features and straightforward computations for UWB antenna simulations. Numerical results were obtained from the cases of the cavity resonance problem, a bowtie and a Sierpinski bowtie antenna. Comparisons with an existing TDFEM approach employed linear temporal basis functions show good agreement to demonstrate the validity of the present schemes. The TDFEM with 2-step Lagrange interpolation as the temporal basis functions achieves better numerical results with only a small increase to run time and memory use in terms of the relative errors of the resonant frequency in the cavity for the transverse electric mode and the radiation patterns of the bowtie antenna.展开更多
针对翼型气动隐身多目标优化设计存在的计算量大与权重难以选取的问题,提出基于自适应径向基函数代理模型与物理规划的高效多目标优化策略(Multi-objective optimization strategy using adaptive radial basis function and physical p...针对翼型气动隐身多目标优化设计存在的计算量大与权重难以选取的问题,提出基于自适应径向基函数代理模型与物理规划的高效多目标优化策略(Multi-objective optimization strategy using adaptive radial basis function and physical programming,ARBF-PP)。利用物理规划法通过非线性加权的方式将多目标优化问题转化为直接反映设计偏好的单目标优化问题,然后分别对综合偏好函数和约束条件构造径向基函数代理模型,采用增广Lagrange乘子法处理约束,并用遗传算法(Genetic algorithm,GA)进行求解。优化迭代过程中,在当前可能最优解附近增加样本点,更新代理模型,提高代理模型在最优解附近的近似精度,引导搜索过程快速收敛。使用数值多目标优化算例与翼型气动隐身多目标优化实例验证了本文所提出优化策略的有效性。翼型气动隐身多目标优化结果表明:相比于初始翼型,优化翼型的升阻比提高了34.28%,重点方位角的雷达散射截面(Radar cross section,RCS)均值减小了24.19%。此外,在相同样本规模的情况下,本文方法所得最优翼型的气动隐身性能比静态径向基函数代理模型方法的优化结果分别提高了11%与25.6%;与遗传算法相比,本文方法所需的分析模型调用次数(Number of evaluation function,Nfe)降低了93.5%。展开更多
文摘Accurate simulations of ultra-wideband （UWB） electromagnetic radiation from an antenna were developed based on a time-domain finite element method （TDFEM） based on p-step Lagrange interpolation for the temporal expansion. The motivation was to utilize the good interpolation features and straightforward computations for UWB antenna simulations. Numerical results were obtained from the cases of the cavity resonance problem, a bowtie and a Sierpinski bowtie antenna. Comparisons with an existing TDFEM approach employed linear temporal basis functions show good agreement to demonstrate the validity of the present schemes. The TDFEM with 2-step Lagrange interpolation as the temporal basis functions achieves better numerical results with only a small increase to run time and memory use in terms of the relative errors of the resonant frequency in the cavity for the transverse electric mode and the radiation patterns of the bowtie antenna.
文摘针对翼型气动隐身多目标优化设计存在的计算量大与权重难以选取的问题,提出基于自适应径向基函数代理模型与物理规划的高效多目标优化策略(Multi-objective optimization strategy using adaptive radial basis function and physical programming,ARBF-PP)。利用物理规划法通过非线性加权的方式将多目标优化问题转化为直接反映设计偏好的单目标优化问题,然后分别对综合偏好函数和约束条件构造径向基函数代理模型,采用增广Lagrange乘子法处理约束,并用遗传算法(Genetic algorithm,GA)进行求解。优化迭代过程中,在当前可能最优解附近增加样本点,更新代理模型,提高代理模型在最优解附近的近似精度,引导搜索过程快速收敛。使用数值多目标优化算例与翼型气动隐身多目标优化实例验证了本文所提出优化策略的有效性。翼型气动隐身多目标优化结果表明:相比于初始翼型,优化翼型的升阻比提高了34.28%,重点方位角的雷达散射截面(Radar cross section,RCS)均值减小了24.19%。此外,在相同样本规模的情况下,本文方法所得最优翼型的气动隐身性能比静态径向基函数代理模型方法的优化结果分别提高了11%与25.6%;与遗传算法相比,本文方法所需的分析模型调用次数(Number of evaluation function,Nfe)降低了93.5%。
