叶轮机转静干涉计算建模方法比较

通过对尾迹-叶片干涉和激波-叶片干涉这两类典型转静干涉流动的模拟,对3种基于傅里叶分析的时域非定常计算建模方法,即形修正相延迟法、空间-时间梯度法和谐波平衡法进行对比分析；详细考察它们的区别与联系,不同方法的计算准确度和计算速度.计算表明:3种建模方法都可以很好地捕捉到非定常流动细节；与传统的时间推进法相比,计算速度提高了几倍到几十倍,可用于工程设计之中.      

基于旋转加速度计原理的重力梯度测量 技术研究与试验

旋转加速度计式重力梯度测量方法通过旋转调制的方式提取微弱的重力梯度信息。首先从测量原理出发,指出实现该方案的主要难点及对策,提炼出关键技术;其次,以多种方式开展引力梯度效应试验,验证了理论的正确性;最后,尝试了面向载体应用的动态适应性试验,达到地面低动态条件下的技术要求,为开展高动态条件下的重力梯度测量奠定基础。     

量子重力梯度仪研究进展

重力梯度是重力位的二阶微分,对地球密度扰动具有更高的分辨率,能够更加精细、全面地反映重力位在空间上的变化。高精度重力梯度测量在地质调查、地球重力场测绘、惯性导航以及基础科学研究等方面发挥着重要作用。量子重力梯度仪是近年来快速发展的一种基于激光操控原子技术的新型高精度重力梯度测量设备,具有测量精度高、长期稳定性好等特点,尤其是对振动噪声具有良好的抑制效果。目前,量子重力梯度仪的最佳灵敏度可达4E/√Hz,与最先进的旋转加速度计式重力梯度仪灵敏度3E/√Hz的水平相当。本文介绍了量子重力梯度仪的基本原理和应用,并分析了其国内外研究现状,最后讨论了目前限制量子重力梯度仪灵敏度的主要因素以及未来发展方向。     

A novel robust aerodynamic optimization technique coupled with adjoint solvers and polynomial chaos expansion

Uncertainty is common in the life cycle of an aircraft, and Robust Aerodynamic Optimization (RAO) that considers uncertainty is important in aircraft design. To avoid the curse of dimensionality in surrogate-based optimization, this study proposes an adjoint RAO technique called “R-Opt”. Polynomial Chaos Expansion (PCE) is coupled with the R-Opt technique to quantify uncertainty in the responses of the target (including its mean and standard deviation). Only one process of PCE model construction is required in each iteration, and the gradients of uncertainty can be inferred via chain rules. The proposed method is more efficient than prevalent methods, and avoids the problem of a disagreement over the best PCE basis from among a number of PCE models (especially in case of sparse PCE). It also supports the application of sparse PCE. Two benchmark tests and two airfoil cases were used to verify R-Opt, and the optimal solutions were deemed to be robust. It improved the mean aerodynamic performance and reduced the standard deviation of the target.