冷轧张应力分布模型及其在辊系变形计算中的应用

以往张应力分布计算多以实验为基础,或理论模型建立过程中采用了过多假设,使张应力分布计算精度受到很大限制,针对这些情况,提出利用变分法建立单元出口张应力计算模型,并与影响函数法相结合建立了冷轧前张力横向分布计算模型及辊系弹性变形计算模型,并开发了相应的计算程序.用该程序计算了某公司单机架可逆冷轧机的单位宽轧制力、辊间压力、轧件厚度以及张应力等的横向分布并进行了分析.实例计算表明,计算结果与生产实测数据吻合较好,证明了理论模型是实用可靠的.     

大迎角试验数据精度及影响因素分析

着重分析了粗糙带、偏航角β、模型抖动以及滤波频率、采样时间和样本长度等因素对于大迎角试验数据精度的影响.结果认为:常规试验采用的滤波频率会导致关键气动信息的丢失,滤波频率的选取尤为重要;弯刀系统的横向刚度是影响大迎角数据精度的一个重要因素,试验中如何降低其横向刚度的影响是一难点.     

大攻角流动的非定常特性分析

本文首先通过动态测量手段研究了大攻角流场中的能量成分,分析了各种成分引发的非定常性对大攻角流动的影响。结果表明大攻角流动本身是一种“涡行为”,非定常性对大攻角流动非对称性的影响较弱,影响大攻角流动的本质因素是涡的动力不稳定性对于前体不确定小扰动的响应。     

海南地区电离层Es特性研究

利用中国科学院空间科学与应用研究中心海南电离层观测站DPS-4电离层测高仪2002年3月至2005年2月的观测数据,对太阳活动下降期间海南地区上空发生的偶发E层(Es)的逐年变化和季节变化进行了统计分析.主要结果表明,在这3年中海南地区Es事件出现次数逐年增加;Esr,Esq出现最频繁,其次是Esr,而Esc和Esf出现次数较少,出现次数最少的是Esh;Es事件在夏季出现最为频繁,秋季和冬季次之,春季最为稀少;各季节不同类型Es事件的出现率也不同,其中Esl和Esq一般在各季节占主导地位,Esr其次,Esc,Esf和Esh出现次数较少,尤其是Esf在秋季几乎没有出现.这些结果对于进一步研究Es产生的物理机制提供了探测基础,同时对于电离层空间天气预报模型的建立也具有重要的意义.      

武汉地区电离层TEC和NmF2及板厚的季节变化

通过利用武汉电离层观测站(114.4°E,30.6°N)1980-1990年对E8T-Ⅱ卫星信标的法拉第旋转测量的TEC(电子浓度总含量)数据,以及由测高仪测量的1980-1990年间的f0F2(F2层临界频率)数据,研究了武汉地区TEC,NmF2(最大电子浓度)和板厚的季节变化,同时比较了IRI和武汉单站模式在预测NmF2季节性方面的有效性.武汉单站模式在预测NmF2季节性变化方面优于IRI模式.      

Estimating sea level rise around Australia using a new approach to account for low frequency climate signals

Regional sea level studies help to identify the vulnerable areas to the sea level rise. This study investigates the impact of climate modes on sea level variations and trends around Australia using altimetry data, climate indices, and sea level records from tide gauge stations. Here, we show that the sea level variations are negatively correlated with climate indices to the north and west of Australia. The spectral analyses of the climate indices and tide gauge data suggest that a low frequency signal with a period of 11 years emerges during the mid 1980s. Since the 25-year length of the satellite altimetry record is yet too short to detect low frequency signals, their effect on the estimation of regional sea level trend is unknown. Therefore, we estimate the sea level trend with consideration of this signal and using a two-step method. All signals with periods shorter than 7.5 years are first removed from sea level time series and then the trend is estimated using the parametric model that includes the 11-year signal. The skill of the parametric model in explaining the variations in sea level anomaly validates the presence of the 11-year signal detected in the spectrograms of the tide gauge data and climate indices. The average sea level trend for the study area is estimated as 3.85 ± 0.15 mm/year.     

绕细长旋成体非对称涡非定常性的实验研究

详细地给出了尖锥头和椭球头细长旋成体大迎角绕流非对称侧向力的时均值和脉动值的实验结果,特别是检测了侧向力低频大振幅分量的脉动特性。实验结果表明,在迎角0°～40°范围内时均升力系数和阻力系数实验结果和由横流理论预测的结果基本一致,时均侧力系数存在的迎角范围及其最大值尖锥头明显大于椭球头旋成体。由侧力瞬时值的时间过程表明,细长体大迎角绕流非对称背涡具有明显的非定常特征(即使在中等迎角30°～40°情况下,绕流就表现为非定常的),反映在侧力系数过程线上是一个非周期的随机过程,由不同频率和振幅的分量组成。其中,低频大振幅分量由分离涡核的振动引起,中等频率分量由类似于Karman涡的脱落引起,高频小振幅分量主要由分离剪切层中的小尺度湍涡(eddies)和来流湍流度引起。实验还发现,虽然随迎角的增加,低频分量的振幅不断增大,但主频基本保持不变,对于尖锥体约1.0Hz,对于椭球体约2.0Hz。     

一种终端区利用率评估方法研究

终端区利用率量化评估是解决终端区运行瓶颈、挖掘运行潜力的重要前提。现有方法大都面向全空域,指标缺乏通用性。聚焦终端区运行特点,构建了终端区利用率评估指标,基于灰色绝对关联度和主成分分析法,建立了灰色主成分评估模型,并对传统灰色绝对关联度的计算方法进行改进。以20个典型终端区数据为基础,经模糊C均值聚类验证了所提方法有效正确,且可区分性更好,能够满足多个终端区间的横向对比要求;结合广州终端区雷达数据进一步分析,发现方法更加细致地反映了沿时间轴的资源利用情况,满足单个终端区的纵向对比要求,可以为终端区的天气影响评估及流量管理优化策略评估提供论证依据。     

计入带电粒子入射角度对次级电子效应影响时航天飞行器的带电特性

本文采用由实验得到的带电粒子入射角度对次级电子的影响关系,根据轨道限制电流收集理论,导出了不同几何形体航天器的次级电子数通量表达式;并按局部电流平衡模型,计算了航天器背阴面的带电电位。结果表明,计入带电粒子入射角的影响后,航天器表面负电位的数值有一定减少。因此,在计算航天器表面带电时,应当考虑这种影响。     

Tide variation monitoring based improved GNSS-MR by empirical mode decomposition

Global Navigation Satellite System multipath reflectometry (GNSS-MR) technology has great potential for monitoring tide level changes. GNSS-MR techniques usually extract signal-to-noise ratio (SNR) residual sequences using quadratic polynomials; however, such algorithms are affected considerably by satellite elevation angles. To improve the stability and accuracy of an SNR residual sequence, this study proposed an SNR signal decomposition method based on empirical mode decomposition (EMD). First, the SNR signal is decomposed by EMD, following which the SNR residual sequence is obtained by combining the corresponding intrinsic mode function with the frequency range of the coherent signal. Second, the Lomb–Scargle spectrum is analyzed to obtain the frequency of the SNR residual sequence. Finally, the SNR frequency is converted into the tide height. To verify the validity of the SNR residual sequence obtained by EMD, the algorithm performance was assessed using multigroup satellite elevation angle intervals with measured data from two station, SC02 in the United States and RSBY in Australia. Experimental results demonstrated that the accuracy of the improved algorithm was improved in the low-elevation range. The improved algorithm demonstrated high monitoring accuracy, and the effective number was not less than 80% of the total in SC02, which means it could effectively describe the trend of the tide with accuracy of approximately 10 cm, meanwhile, the RMS error of RSBY could be reduced by 30 cm, to the maximum extent. The EMD method effectively expands the range of available GNSS-MR elevations, avoids the loss of effective information, enhances considerably the utilization rate of GNSS data, and improves the accuracy of GNSS-MR tide level monitoring.