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371.
通过连续激光调制对薄板试样进行局部周期加热,采用红外扫描测温技术记录动态温度分布。利用博里叶变换分析温度基波相位和幅值变化,进而推算壁面的局部换热系数。介绍了该方法的测量原理,在风洞中对两种不同厚度的薄板进行了实验研究,并对实验结果进行了分析和讨论。 相似文献
372.
二维测量系统的测量误差主要由两个导轨的五个自由度误差和测头误差组成。给出了误差的数学模型,论述了误差的测量、修正及误差修正的误差。 相似文献
373.
张山 《南京航空航天大学学报》2018,13(1):87-97
落儿岭-土地岭断裂是东大别地区重要的发震构造,然而限于自然地理条件等因素,前人对其的研究并不充分。本文以发生多次中强地震的落儿岭-土地岭断裂为研究对象,在高精度卫星影像解译的基础上,通过详细的野外地质地貌调查,尤其是对典型断层剖面进行分析,研究落儿岭-土地岭断裂的断错地质地貌特征、几何结构及活动特征。通过野外调查并结合其他资料分析认为落儿岭-土地岭断裂为发育于大别造山带内部的一条走向NE、向NW陡倾的断裂带。依据地质地貌特征及地震活动性,断裂可以划分为杨树沟-黑石渡段和黑石渡-横塘岗乡段两个几何段落。断裂最新活动时代为中更新世晚期—晚更新世早期,断裂最新活动继承了中生代以来的运动方式,以兼具右旋走滑的拉张正断为主。 相似文献
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377.
Aeroelastic analysis of a shipboard helicopter rotor with ship motions during engagement and disengagement operations 总被引:2,自引:0,他引:2
An aeroelastic simulation of a shipboard helicopter rotor with ship motions during engagement and disengagement operations is investigated to explore the coupled dynamic behavior between the rotor and the ship. A finite element analysis based on a moderate deflection beam model is employed to capture the flap, lag and torsion deflections of the rotor blade. The ship is treated as a six-degree-of-freedom rigid body. By using the Hamilton?s principle, system equations of motion are derived based on the generalized force formulation. The responses agree well with the test data of the rotor blade droop stop impact and the transient aeroelastic response of the shipboard teetering model rotor. Parametric investigations illustrate that the ship pitch motion has significant influence on the maximum negative displacement of the blade tip. Additional over 25% increase of the tip deflection can be introduced by the ship pitch motion. The aerodynamic and inertial couplings between the ship motion and the rotor have significantly nonlinear influence on the transient aeroelastic response. Both terms should be taken into account in the coupled helicopter–ship dynamics model. 相似文献
378.
阐述外层空间活动具有现实和潜在的安全问题,指出国际法中的外层空间法存在的不足和漏洞,阐明应借鉴发达国家的做法,通过国内立法来维护我国外层空间活动安全的必要性和可行性,并对如何立法提出初步设想。 相似文献
380.
Zheng Li Peng Chen Naiquan Zheng Hang Liu 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2021,67(4):1317-1332
In recent years, with the continuous development of Global Navigation Satellite System (GNSS), it has been applied not only to navigation and positioning, but also to Earth surface environment monitoring. At present, when performing GNSS-IR (GNSS Interferometric Reflectometry) snow depth inversion, Lomb-Scargle Periodogram (LSP) spectrum analysis is mainly used to calculate the vertical height from the antenna phase center to the reflection surface. However, it has the problem of low identification of power spectrum analysis, which may lead to frequency leakage. Therefore, Fast Fourier Transform (FFT) spectrum analysis and Nonlinear Least Square Fitting (NLSF) are introduced to calculate the vertical height in this paper. The GNSS-IR snow depth inversion experiment is carried out by using the observation data of P351 station in PBO (Plate Boundary Observatory) network of the United States from 2013 to 2016. Three algorithms are used to invert the snow depth and compared with the actual snow depth provided by the station 490 in the SNOTEL network. The observations data of L1 and L2 bands are respectively used to find the optimal combination between different algorithms further to improve the accuracy of GNSS-IR snow depth inversion. For L1 band, different snow depths correspond to different optimal algorithms. When the snow depth is less than 0.8 m, the inversion accuracy of NLSF algorithm is the highest. When the snow depth is greater than 0.8 m, the inversion accuracy of FFT algorithm is higher. Therefore, according to the different snow depth, a combined algorithm of NLSF + FFT is proposed for GNSS-IR snow depth inversion. Compared with the traditional LSP algorithm, the inversion accuracy of the combined algorithm is improved by 10%. For L2 band data, the results show that the accuracy of snow depth inversion of various algorithms do not change with the variations of snow depth. Among the three single algorithms, the inversion accuracy of FFT algorithm is better than that of LSP and NLSF algorithms. 相似文献