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781.
MOEA/D-DE 算法易于实现,被广泛应用于处理多目标优化问题,但其超参数CR 和F 对算法性能影响较大。基于MOEA/D-DE 算法框架、利用Sobol 全局灵敏性分析方法对差分进化算子中的交叉控制参数CR进行改进,使用莱维飞行策略控制比例因子F,使算法中的超参数拥有自适应能力,得到超参数自适应的MOEA/D-DE 算法——MOEA/D-DEAH 算法;对MOEA/D-DEAH 算法、不同超参数设置的MOEA/D-DE算法和NSGAII 算法进行函数测试和翼型气动隐身优化算例对比。结果表明:MOEA/D-DEAH 算法性能良好,具有较强的鲁棒性,气动隐身优化效果也比其他算法更好。 相似文献
782.
《中国航空学报》2023,36(8):395-407
The wear condition of the piston/cylinder pair is crucial to the performance and reliability of the axial piston pump. The hard piston surface, the soft cylinder bore surface, and the interface oil film affects each other during the wear process. Specifically, in the mixed lubrication region, the geometry of the hard piston surface asperity directly affects the wear of soft cylinder bore surface, while the asperities may deform or even degrade when penetrating and sliding against the cylinder bore. So far, there is no suitable method to simulate their coupled evolution. This paper proposed a wear process simulation model considering the real-time interaction between the elasto-plastic deformation of the piston surface asperity, the wear contour of the cylinder bore, and the lubrication condition of the interface. An offline library of the elasto-plastic constitutive behavior of the asperity based on the finite element method (FEM) is established as a part of the simulation model to precisely analyze the deformation and degradation of the asperity and quickly invoke them in the numerical wear process simulation. The simulation and experimental results show that the piston asperity and the cylinder bore contour converge to a steady state after running-in for about 0.5 h. The distribution of the simulated asperity degradation and wear depth is also verified by the experiment. 相似文献
783.
《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2023,71(1):845-868
The Dongting Lake Basin is an important hydrological regulation and flood storage area in the Yangtze River Basin, which plays an important role in maintaining regional ecological security. The watershed vegetation and its carbon sequestration capacity have changed dramatically due to climate change and human activities in the last two decades. In this paper, the monthly and annual vegetation net primary productivity (NPP) of the Dongting Lake basin during 2000 to 2020 was firstly estimated using the improved Carnegie-Ames-Stanford Approach (CASA) model. Then the multi-year NPP change trend and its significance were analyzed based on Theil-Sen median and Mann-Kendall method. Subsequently, the Hurst index was used to simulate the vegetation NPP persistence in the study area. Finally, the driving mechanisms of vegetation NPP changes in the study area were explored using partial correlation coefficients and residual analysis. The results demonstrated that: 1) The annual average NPP in the basin showed a fluctuating and increasing trend from 273.54 to 718.30 g C/m2·yr1 during 2000 to 2020, and except for autumn, all seasons (spring, summer, winter) and annual NPP series showed an upward trend. The spatial distribution of vegetation NPP is characterized by an asymmetrical horseshoe shape in general, with high values in the west, south and east parts, and low values in the Lake area; 2) During the study years, about 84.38 % of the basin area showed a significant and extremely significant increase of NPP; 3) The future trend of vegetation NPP in the basin shows that the area of decrease (22.79 %) is more than the area of increase (11.35 %). The Chang-Zhu-Tan urban agglomeration will generally show a continuous and extremely significant reduction trend, while parts of Dongting Lake will show a continuous and extremely significant increase trend; 4) The correlation between solar radiation and NPP is stronger than the other two meteorological factors (precipitation and temperature). Temperature has a significant inhibitory effect on NPP, solar radiation has a significant promoting effect on NPP, and the effect of precipitation on NPP was relatively complicated. The relative importance of meteorological factors on vegetation NPP was ranked as follows: solar radiation > precipitation > temperature. The impacts of both climate change and human activities on NPP changes showed great spatial variability, and the positive contributions (89.81 % for climate change and 82.87 % for human activities) were both greater than the negative contributions. 相似文献
784.
为了满足变循环发动机风车起动性能仿真的需求,建立了变循环发动机部件级风车起动模型。针对旋转部件等熵效率不连续的问题,提出使用换算扭矩代替等熵效率的方法,给出了旋转部件全转速特性拓展方法。提出了考虑点火及燃烧稳定性的燃烧室稳定性模型。考虑了变循环发动机的8个可调参数,采用差分进化算法对变循环发动机的风车及风车起动性能进行了优化。结果表明,风车状态时,变循环发动机在单外涵模态具有更高的核心机物理转速,有利于点火之后核心机物理转速快速趋于其慢车值。单外涵模态时,变循环发动机在风车状态的可调参数仅与飞行马赫数有关,为了保持较高的核心机物理转速,后涵道引射器外涵面积需随飞行马赫数的增加而减少,其余参数皆固定在其最佳值。飞行高度6km、马赫数0.8时,变循环发动机在单外涵模态下的风车起动时间为1.4s。风车起动过程中燃油流量的增长主要受燃烧稳定性所约束。通过对可调参数的优化,可使变循环发动机在风车起动过程中的关键性能参数最大程度的逼近其限制值,从而减少风车起动时间。 相似文献