飞机结构细节疲劳寿命的应力场强法探析

研究应力场强法在飞机结构抗疲劳设计中的应用;论述飞机结构的典型细节模型;提出了对应于细节模型的应力场强法的疲劳寿命分析方法和相应的疲劳模拟试验件的设计方法.据此对一个飞机结构危险部位作了疲劳寿命分析和试验验证.分析和试验结果表明:提出的方法是合理的.     

在阶跃载荷作用下双悬臂梁模型动态特性的近似分析法

 <正> 大量的研究表明:在冲击载荷的作用下,材料的机械性能和断裂韧性都会随着加载速率的变化而发生变化,断裂韧性随着加载速率的增高会明显下降。在动态起裂判据中,K_(Id)(?)是由动态试验来确定的,而K(?)(t)则要对结构进行完全的动态分析来确定。由于动态问题的复杂性,一般都借助于大规模的数值计算求解动态应力强度因子等动态特性。本文根据梁的振动特性,提出了一种简单的近似分析方法求解DCB模型在阶跃载荷作用下的动态响应、动态应力强度因子和动态能量释放率等特性,并提出一个用DCB模型测定K_(Id)(?)的简单方法。文中还使用八节点等参元进行了动态汁算,将有限元法计算的结果与近似法作了比较,两者吻合很好。     

推广的铆钉力法解对接桁条加劲板的应力强度因子

 本文通过两类带有对接桁条加劲板应力强度因子的求解,说明推广的铆钉力法及其应用,侧重地讨论了用Pars位移公式确定不规则含裂纹构件位移场的具体步骤。文中给出了两个实际算例的计算曲线,这一结果趋势合理,精度满足工程要求,可直接为工程应用服务。     

Experimental investigation of the full coverage film cooling effectiveness of a turbine blade with shaped holes

The film cooling effectiveness of two turbine blades at different turbulence intensities(0.62% and 16.00%) and mass flux ratios(2.91%, 5.82%, 8.73% and 11.63%) is studied by using the Pressure-Sensitive Paint(PSP) measurement technique. There are a baseline and an improved turbine blade in current work, and their film cooling hole position distribution is the same. But the hole shape on suction surface and pressure surface is changed from cylindrical hole(baseline)to laid-back fan-shaped hole(im...     

扇形与平面叶栅内高负荷叶片的换热特性实验研究

为了探究扇形与平面叶栅条件下,高负荷叶片的外换热特性,采用瞬态液晶测量技术,测量了雷诺数(Re)、湍流强度(Tu)对扇形叶栅(曲端壁)的小展弦比高负荷涡轮叶片表面努塞尔数(Nu)的影响,并与平面叶栅(直端壁)进行了对比。结果表明,曲端壁相较于直端壁增加了21.5°的径向进气角以及上下端壁曲率不同,从而导致换热沿叶高的不对称分布。雷诺数增大,叶片各位置的换热明显增强,吸力面边界层转捩点位置不断向前缘靠近,雷诺数对直端壁的影响大于曲端壁。随湍流强度增大,努塞尔数整体有所升高,吸力面转捩点位置前移,压力面过渡现象明显增强,中弦部分努塞尔数一维特性更为明显,湍流强度对两类端壁的叶片影响类似。在研究低雷诺数或湍流强度对高负荷叶片的换热影响时,可采用直端壁进行简化,而在高雷诺数时,为了保证结果准确性,需在发动机实际扇形叶栅中进行实验。     

振动温度的激波管测定

根据双原子分光带系及其强度理论,介绍了测定振动温度的原理及方法。同时,利用激波加热试验气体的方法,得到氧化铝分子绿带系(B~2∑~+-X~2∑~+)的全部光带。通过氧化铝分子绿带系光带强度的测定,得到在激波马赫数为10时,反射激波后气体的振动温度约为5200K。     

太阳电池阵深空探测适应性设计概论

随着近年来月球探测的推进,深空探测的论证,针对深空探测对太阳电池阵低温度、低光强、强辐射等环境的技术需求,以火星探测和木星探测太阳电池阵设计分析为例,通过任务环境特点分析,给出了特殊服役环境下太阳电池选型方法,方阵设计与验证建议,对国内深空探测太阳电池阵设计具有一定参考意义。     

Delineation of possible influence of solar variability and galactic cosmic rays on terrestrial climate parameters

The present paper has investigated the associations of solar activity (SA), represented by total solar irradiance (TSI), galactic cosmic rays (GCR) and terrestrial climate parameters in particular the global cloudiness and global surface temperature. To that end, we have analysed thirty five years (1983–2018) data of these parameters and have applied the Granger-causality test in order to assess whether there is any potential predictability power of one indicator to the other. The correlations among the involved parameters are tested using Vector Auto Regression (VAR) model and variance decomposition method. As a result of the above analysis, we have found that the TSI is an important factor and has contributed about 8.77 ± 0.42% in the cosmic ray intensity variations. In case of cloud cover variations, the other three parameters (TSI, cosmic ray and global surface temperature) have played a significant role. Further, the TSI changes have contributed 1.68 ± 0.03% fluctuations in the variance of the cloud cover while the cosmic ray intensity and global surface temperature have contributed about 4.89 ± 0.08% and 10.87 ± 1.41% respectively. In case of the global surface temperature anomaly both TSI and cloud covers have contributed about 5.07 ± 0.47% and 14.42 ± 2.13% fluctuations respectively. Additionally, we have also assessed the impact of internal climate oscillations like multivariate ENSO index (MEI), north Atlantic oscillations (NAO) and quasi biennial oscillations (QBO) on cloud cover variations. The contribution of these internal oscillations e.g. ENSO, NAO and QBO in cloud cover variation were reported as 7.48 ± 1.02%, 5.51 ± 0.16% and 1.36 ± 0.43% respectively.     

Two new multi-phase reliability growth models from the perspective of time between failures and their applications

Aviation products would go through a multi-phase improvement in reliability performance during the research and development process. In the literature, most of the existing reliability growth models assume a constant failure intensity in each test phase, which inevitably limits the scope of the application. To address this problem, we propose two new models considering time-varying failure intensity in each stage. The proposed models borrow the idea from the accelerated failure-time models. It is assumed that time between failures follow the log-location-scale distribution and the scale parameters in each phase do not change, which forms the basis for integrating the data from all test stages. For the test-find-test scenario, an improvement factor is introduced to construct the relationship between two successive location parameters. Whereas for the test-fix-test scenario, the instantaneous cumulative time between failures is assumed to be consistent with Duane model and derive the formulation of location parameter. Likelihood ratio test is further utilized to test whether the assumption of constant failure intensity in each phase is suitable. Several applications with real reliability growth data show that the assumptions are reasonable and the proposed models outperform the existing models.     

A unifying approach in simulating the shot peening process using a 3D random representative volume finite element model

Using a modified 3D random representative volume (RV) finite element model,the effects of model dimensions (impact region and interval between impact and representative regions),model shapes (rectangular,square,and circular),and peening-induced thermal softening on resultant critical quantities (residual stress,Almen intensity,coverage,and arc height) after shot peening are systematically examined.A new quantity,i.e.,the interval between impact and representative regions,is introduced and its optimal value is first determined to eliminate any boundary effect on shot peening results.Then,model dimensions are respectively assessed for all model shapes to reflect the actual shot peening process,based on which shape-independent critical shot peening quantities are obtained.Further,it is found that thermal softening of the target material due to shot peening leads to variances of the surface residual stress and arc height,demonstrating the necessity of considering the thermal effect in a constitutive material model of shot peeing.Our study clarifies some of the finite element modeling aspects and lays the ground for accurate modeling of the SP process.