多涵道无人机设计及悬停性能数值仿真

针对无人机空中自主对接和组合飞行任务需求设计了6涵道螺旋桨无人机气动构型。运用数值模拟对该型无人机进行悬停工况气动特性研究，研究不同悬停转速下整机气动性能的变化，并在涵道环括工况下对螺旋桨进行气动优化。研究结果表明：螺旋桨是悬停升力的主要来源，随着转速变化，涵道升力始终占总升力的17%左右；阻力来自机体上表面和电机支架的迎风阻力，支架的阻力达到涵道螺旋桨总升力的10%；随着桨盘载荷提升，无人机功率载荷降低；涵道的存在影响了螺旋桨的滑流特性，造成桨盘平面轴向速度增加，截面翼型迎角变小，工作效率降低，经过合理调整其扭转角分布螺旋桨效率得到提升，拉力提高3.3%，效率提高2.9%。     

天基星空背景观测覆盖范围计算方法研究

针对日趋复杂的空间环境，天基观测由于其分布灵活和全天候观测的特性受到越来越多的关注，该类问题为典型的星空背景观测（above-the-horizon，ATH）问题。基于分段积分思想，提出了一种ATH观测三维空间覆盖范围的计算方法，涵盖了该问题所有可能的10种积分形式，适用于因观测约束参数不同取值而形成的任意几何构型场景。不仅在二维平面覆盖问题上与现有方法进行了比较并验证，还首次解决了ATH在三维空间中覆盖体积的定量解析计算难题。仿真结果表明，平面和空间覆盖最大化所对应的最优观测轨道高度存在明显差异，空间覆盖计算模型能更为准确有效地表示卫星覆盖性能，同时能为星座优化设计提供参考。     

飞行员跳伞模拟训练系统人伞惯性参数研究

针对飞行员跳伞模拟训练系统研发需要,对人伞惯性参数进行了研究.首先,建立了人伞系统体固定坐标系,并在此基础上给出了伞衣、伞绳的惯性参数计算方法;其次,基于Hanavan人体模型,给出了人体模型各环节的重量分配、质心计算、惯性参数的计算方法;再次,基于转动惯量平行轴定理,给出了人伞系统体固定坐标系下惯性参数的计算方法;最...     

某型炸药的冲击波超压峰值计算公式参数的修正

结合某型炸药的试验数据,拟合修正了未带壳柱炸药的冲击波超压峰值(在普通土壤地面附近爆炸)的计算公式参数,并将拟合公式与常用计算公式结果进行对比,探讨了公式的适用性。     

Transfer learning: A new aerodynamic force identification network based on adaptive EMD and soft thresholding in hypersonic wind tunnel

The aerodynamic test in the pulse combustion wind tunnel is very important for the design, evaluation and optimization of aerodynamic characteristics of the hypersonic aircraft. The test accuracy even affects the success or failure of hypersonic aircraft development. In the aerodynamic test of pulse combustion wind tunnel, the aerodynamic signal is disturbed by the inertial force signal, which seriously affects the test accuracy of aerodynamic force. Aiming at the above problems, this paper innovatively proposes an aerodynamic intelligent identification method, that is the transfer learning network based on adaptive Empirical Modal Decomposition (EMD) and Soft Thresholding (TLN-AE&ST). Compared with the existing aerodynamic intelligent identification model based on deep learning technology, this study introduces the transfer learning idea into the aerodynamic intelligent identification model for the first time. The TLN-AE&ST effectively alleviates the problem of scarcity of training samples for intelligent models due to the high cost of wind tunnel tests, and provides a new idea for further implementation of deep learning technology in the field of wind tunnel aerodynamic testing. And this study designed residual attention block with soft threshold and dense block with adaptive EMD in TLN-AE&ST model. Residual attention block with soft threshold module can more effectively suppress the influence of instrument noise signal on model training effect. Dense block with adaptive EMD makes the deep learning model no longer a black box to a certain extent, and has certain physical significance. Finally, a series of wind tunnel tests were carried out in the Φ = 2.4 m pulse combustion wind tunnel of China Aerodynamic Research and Development Center to verify the effectiveness of TLN-AE&ST.     

Study on excitation force characteristics in a coupled shaker-structure system considering structure modes coupling

The interaction between an elastic structure and electrodynamic shakers commonly exists in Ground Flutter Simulation Tests(GFST) with multi-point excitations, causing a considerable discrepancy between the practical excitation forces and desired ones. To investigate the excitation force characteristics on a cantilever beam excited by a voltage-sourced electrodynamic shaker,the coupled shaker-beam system is modeled to derive the excitation force formula using Hamilton’s principle and Galerkin’s a...     

基于电加热膜防冰设计方案的分流环表面换热特性试验研究

分流环表面换热特性对提升防冰设计效能至关重要。针对传统热气防冰方案中试验件与试验方案系统复杂、成本高昂等问题，本文提出了一种新型电加热膜防冰设计方案的分流环表面换热系数的试验方法。根据能量守恒定律，推导出分流环表面换热系数理论公式。试验研究了不同俯仰角、速度、液态水含量（Liqid water content,LWC）以及水滴中位体积直径（Median volumetric diameter, MVD）等对分流环表面换热特性的影响。试验结果表明：前缘区域换热系数随俯仰角先增大后降低，25°俯仰角是明显的转折点；相同喷雾条件下的前缘区域、下表面区域的平均换热系数约是干空气条件下的3倍；分流环前缘的换热系数明显大于上、下表面的换热系数。