时变平均风提取方法研究

非平稳风速模型将实测风速记录分解为时变平均风与平稳脉动风的叠加。研究提出利用脉动风平稳度指标确定时变平均风的方法,定义不同时距摩阻速度的比值为脉动风平稳度指标,在所有可能的选择中,最优时变平均风应使脉动风在满足平稳性要求的同时平稳度指标最大。应用于实测10分钟550组台风及3300组季风数据表明该提取方法合理有效。     

固体燃料冲压发动机推力平稳性及飞行稳定性分析

分析了固体燃料冲压发动机中燃面退移速率的影响因素,建立了燃面退移速率仿真模型。在此基础上,建立了固体燃料冲压发动机工作过程仿真模型。采用该模型对固体燃料冲压发动机超音速巡航导弹的推力平稳性和飞行稳定性进行了分析。分析结果表明,选择适当的发动机设计参数能确保推力随时间的变化最小;发动机能根据巡航导弹飞行高度和速度的变化进行调整,使巡航导弹维持在设计点飞行。     

On deterministic chaos,stationarity, periodicity and intermittency in coronal bursts and flares

Solar and stellar flares are highly structured in space and in time, as is indicated for example by their radio signatures: the narrowband spikes, type III, type II and IV, and pulsation events. Structured in time are also the not flare related type I events (noise storms). The nature of this observationally manifest fragmentation is still not clear. Either, it can be due to stochastic boundary or initial conditions of the respective processes, such as inhomogeneities in the coronal plasma. Or else, a deterministic non-linear process is able to cause complicated patterns of these kinds.We investigate the nature of the fragmentation in time. The properties of processes we enquire are stationarity, periodicity, intermittency, and, with dimension estimating methods, we try to discriminate between stochastic and low-dimensional deterministic processes. Since the measured time series are rather short, the dimension estimate methods have to be used with care: we have developed an extended dimension estimate procedure consisting of five steps. Among others, it comprises again the questions of stationarity and intermittency, but also the more technical problems of temporal correlations, judging scaling and convergence, and limited number of data points (statistical limits).We investigate 3 events of narrowband spikes, 13 type III groups, 10 type I storms, 3 type II bursts and 1 type IV event of solar origin, and 3 pulsation-like events of stellar origin. They have in common that all of them have stationary phases, periodicities are rather seldom, and intermittency is quite abundant. However, the burst types turn out to have different characteristics. None of the investigated time series reveals a low-dimensional behaviour. This implies that they originate from complex processes having dimensions (degrees of freedom) larger than about 4 to 6, which includes infinity,i. e. stochasticity. The lower limit of the degrees of freedom is inferred from numerical experiments with known chaotic systems, using time series of similar lengths, and it depends slightly on the burst types.