单边膨胀喷管移动板的流固耦合研究

验证了基于CFD/CSD(计算流体动力学/计算结构动力学)串行双向耦合算法的准确性,并针对单边膨胀喷管上膨胀面末端移动板的可调方案,研究了不同移动板长度(150,180mm)与厚度(5,7mm)下的流固耦合响应.结果表明:流固耦合引起的振动会造成喷管气动参数的波动,移动板长度为180mm时,达到稳定后,与常规不计流固耦合的情况相比,喷管的升力下降1.38%,冷热态俯仰力矩差增加16.9%;移动板厚度相同时(5mm),较短移动板的气动性能较差,但动态性能较好:升力减小9.9%,而响应时间缩短44.7%;当移动板长度相同时(180mm),较厚的移动板同时拥有好的气动与动态特性:稳态时升力提高0.98%,冷热态俯仰力矩差减小10.5%,且响应时间减小40.4%.      

星载成形反射面天线全域基设计的研究

介绍了对星载成形反射面天线全域基设计法的研究。采用单馈源单反射面天线,通过优化反射面得到赋形波束。文章研究的全域基设计法运用物理光学法,将反射面用Jacobi-Fourier表达式展开,展开式各项的系数作为优化对象,代入反射面天线远场辐射积分的计算,在优化远场辐射特性的同时确定了反射面展开式各项的系数,也即确定了反射面。     

螺栓连接松动的导波监测技术综述

螺栓连接件使结构易于安装或拆卸,同时还可以承受较大的载荷,广泛应用于航空航天结构中。然而,螺栓在复杂服役环境中很容易发生松动,因此准确监测螺栓预紧力对于确保结构的可靠性和安全性具有重要意义。经过多年的发展,基于超声导波的结构健康监测方法逐渐成为螺栓连接松动监测的重要技术手段之一。对典型的螺栓预紧力导波监测方法进行了综述,包括导波能量耗散法、时间反转法、接触声学非线性法和混沌超声法等方法,介绍了这些方法的基本原理和发展现状。同时,通过实验将目前应用较多的导波能量耗散法、时间反转法进行了对比,结果表明时间反转法的监测灵敏度更高。     

低成本制造C/SiC复合材料的热物理性能研究

采用先驱体浸渍裂解工艺制备了三维针刺C/SiC复合材料,系统地研究了其热物理性能.结果表明:该低成本制造工艺制备的C/SiC复合材料热膨胀系数随温度升高总体上呈增大趋势,但随着温度的升高,热膨胀系数增大程度逐渐减弱,并且z向的热膨胀系数要高于x-y方向,而CVD-SiC涂层的存在会降低其热膨胀性能;C/SiC复合材料比热容、导热率也随着温度的升高呈现逐渐增大的趋势,但增加速率逐渐减小.CVD-SiC涂层的存在会提高C/SiC复合材料的导热性能,有利于C/SiC复合材料产品与外界环境的热能交换,但会使材料的比热容降低.     

Experimental investigation of expansion effect on shock wave boundary layer interaction near a compression ramp

The experiment is conducted to investigate the effect of expansion on the shock wave boundary layer interaction near a compression ramp. The small-angle expansion with an angle degree of 5° occurs at different positions in front of the compression ramp. The particle image velocimetry and flow visualization technology show the flow structures, velocity field, and velocity fluctuation near the compression ramp. The mean pressure distribution, pressure fluctuation, and power spectral density are me...     

Uncertainties in gravity wave parameters,momentum fluxes,and flux divergences estimated from multi-layer measurements of mesospheric nightglow layers

Measurements of dynamic parameters of atmospheric gravity waves, mainly the vertical wavelength, the momentum flux and the momentum flux divergence, are affected by large uncertainties crudely documented in the scientific literature. By using methods of error analysis, we have quantified these uncertainties for frequently observed temporal and spatial wave scales. The results show uncertainties of ～10%, ～35%, and ～65%, at least, in the vertical wavelength, momentum flux, and flux divergence, respectively. The large uncertainties in the momentum flux and flux divergence are dominated by uncertainties in the Brunt-Väisälä frequency and in spatial separation of the nightglow layers, respectively. The measured uncertainties in fundamental wave parameters such as the wave amplitude, intrinsic period, horizontal wavelength, and wave orientation are ～10% or less and estimated directly from our nightglow image data set. Other key environmental quantities such as the scale height and the Brunt-Väisälä frequency, frequently considered as constants in gravity wave parameter estimations schemes, are actually quite variable, presenting uncertainties of ～4% and ～9%, respectively, according to the several solar activity and seasonal atmosphere scenarios from the NRLMSISE-00 model simulated here.     

Bifurcation analysis of ion-acoustic waves for Schrödinger equation in nonextensive Solar wind plasma

Bifurcation analysis of ion-acoustic wave (IAWs) solutions of the nonlinear Schrödinger equation (NLSE) is explored for the first time in an electron-ion (e-i) magnetized solar wind plasma. The existence of ion-acoustic (IA) periodic, superperiodic, kink, antikink, compressive and rarefactive solitary wave solutions are revealed. Special values of Solar wind plasma parameters at a normalized distance from the Sun are considered for numerical simulation. The IA wave solutions are derived analytically. These solutions are analyzed numerically considering the influence of parameters, namely, wave number (k), velocity (V) of traveling wave and nonextensive parameter (q). Computational simulation reveals that only IA periodic wave grows in amplitude as waves moves from the Sun.     

Dispersive shock waves in partially ionised plasmas

Compressional waves propagating in the partially ionised solar lower atmospheric plasmas can easily steepen into nonlinear waves, including shocks. Here we investigate the effect of weak dispersion generated by Hall currents perpendicular to the ambient magnetic field on the characteristics of shock waves. Our study will also focus on the interplay between weak dispersion and partial ionisation of the plasma. Using a multiple scale technique we derive the governing equation in the form of a Korteweg-de Vries-Burgers equation. The effect of weak dispersion on shock waves is obtained using a perturbation technique. The secular behaviour of second order terms is addressed with the help of a renormalization technique. Our results show that dispersion modifies the characteristics of shock waves and this change is dependent also on the ionisation degree of the plasma. Dispersion can create short lived oscillations in the shocked plasma. The shock fronts become wider with the increase in the number of neutrals in the plasma.     

An efficient analytical homogenization technique for mechanical-hygrothermal responses of unidirectional composites with applications to optimization and multiscale analyses

The elasticity-based Locally Exact Homogenization Theory (LEHT) is extended to study the mechanical-hygrothermal behaviors of unidirectionally-reinforced composites. Based on the framework developed previously, thermal and moisture effects are incorporated into the LEHT to study the homogenized and localized responses of heterogeneous materials, which are validated using available analytical and numerical techniques. The LEHT programs are then encapsulated as subroutines with Input/Output (I/O) interfaces, to be readily applied in different computational scenarios. In order to illustrate the efficiency of the LEHT, the theory is firstly coupled to the Particle Swarm Optimization (PSO) algorithm in order to minimize the axial thermal expansion mismatch in hexagonal and square fiber arrays by tailoring the fiber volume fraction. The LEHT is then implemented into the lamination theory to study fabrication-induced residual stresses arising during the cool-down process which introduces local laminate stresses owing to thermo-mechanical property mismatch between plies. Both of these applications illustrate the efficiency and accuracy of the LEHT in generating effective properties and local stress distributions, making the theory a golden standard in validating other analytical or numerical techniques as well as a reliable tool in composite design and practice for professionals and non-professionals alike.     

A Lamb wave signal reconstruction method for high-resolution damage imaging

In Lamb wave-based Structural Health Monitoring(SHM), a high-enough spatial resolution is highly required for Lamb wave signals to ensure the resolution and accuracy of damage detection. However, besides the dispersion characteristic, the signal spatial resolution is also largely restricted by the space duration of excitation waveforms, i.e., the Initial Spatial Resolution(ISR)for the signals before travelling. To resolve the problem of inferior signal spatial resolution of Lamb waves, a Lamb Wave Signal Reconstruction(LWSR) method is presented and applied for highresolution damage imaging in this paper. In LWSR, not only a new linearly-dispersive signal is reconstructed from an original Lamb wave signal, but also the group velocity at the central frequency is sufficiently decreased. Then, both dispersion compensation and ISR improvement can be realized to achieve a satisfying signal spatial resolution. After the frequency domain sensing model and spatial resolution of Lamb wave signals are firstly analyzed, the basic idea and numerical realization of LWSR are discussed. Numerical simulations are also implemented to preliminarily validate LWSR. Subsequently, LWSR-based high-resolution damage imaging is developed. An experiment of adjacent multiple damage identification is finally conducted to demonstrate the efficiency of LWSR and LWSR-based imaging methods.