求任意腐蚀损伤的T-H曲线

给出一种在腐蚀日历寿命计算中,任意腐蚀损伤的 T-H曲线的求解方法。该方法求解独特,制作简便,经济适用,只要有 3条以上的标准腐蚀损伤T-H曲线,就可导出任意腐蚀损伤的T-H曲线,供金属日历寿命预测使用。     

基于静强度分布的复合材料疲劳寿命分布的预测模型(英文)

The reasons of the static strength dispersion and the fatigue life dispersion of composite laminates are analyzed in this article. It is concluded that the inner original defects, which derived from the manufacturing process of composite laminates, are the common and major reason of causing the random distributions of the static strength and the fatigue life. And there is a correlative relation between the two distributions. With the study of statistical relationship between the fatigue loading and the fatigue life in the uniform confidence level and the same survival rate S-N curves of material, the relationship between the static strength distribution and the fatigue life distribution through a material S-N curve model has been obtained. And then the model which is used to describe the distributions of fatigue life of composites, based on their distributions of static strength, is set up. This model reasonably reflects the effects of the inner original defects on the static strength dispersion and on the fatigue life dispersion of composite laminates. The experimental data of three kinds of composite laminates are employed to verify this model, and the results show that this model can predict the random distributions of fatigue life for composites under any fatigue loads fairly well.     

LC9材料S—N曲线的测定及数据处理

根据ＬＣ９疲劳试验情况，阐述了Ｓ－Ｎ曲线的测定、绘制及数据处理方法；简要介绍了ＬＣ９应力集中系数５的疲劳特征，及在指定寿命（Ｎ＝１０＾７）下的条件平均疲劳极限值。     

吉林陨石（H5）的冲击压缩线及其意义

在二级轻气炮动高压装置上运用电探针技术测量了具有H群球粒陨石典型代表性的吉林陨石冲击压缩线。当冲击压力>～70GPa时,吉林陨石发生相变,其高压相零压密度为4.425g/cm~3,硅酸盐部分高压相零压密度为4.068g/cm~3。吉林陨石冲击压缩性质的研究结果与地球形成的星子堆积模型(IAB铁陨石+H群球粒陨石)一致。此外,根据陨石或其类似物的冲击压缩线,用阻抗匹配原理计算了主要类型陨石中重要冲击特征形成的最小碰撞速度,揭示了陨石冲击效应形成的动力学条件与空间环境。     

纤维增强陶瓷基复合材料中纤维增韧分析模型

对于单向纤维增强陶瓷基复合材料，在考虑纤维桥联和纤维拔出两种主要增韧机理的基础上，建立了研究紧凑拉伸试样断裂行为的理论模型，并利用该模型计算了裂纹扩展的Ｒ－阻力曲线和载荷／位移曲线，计算结果表明：由于纤维桥联与拔出，使得Ｒ－曲线和载荷／位移曲线呈现明显的非线性行为，纤维桥联是主要增韧机制。体积分数５０％ＳｉＣ１／ＬＡＳ复合材料断裂韧性的计算值与实验值吻合。     

一种获取耀斑光变曲线的高精度,高分辨方法

一种获取耀斑光变曲线的高精度、高分辨方法栗志，周卫红（中国科学院云南天文台，昆明６５００１１）关键词太阳耀斑，光变曲线，测量方法太阳耀斑物理机制的研究，需要得到耀斑核的辐射的演化，在光学波段常用耀斑在单色光的辐射强度的时间变化曲线作为分析依据［１］．...     

我国航空运输需求价格弹性测算

根据经济学理论,同时结合我国航空运输的特点,通过引入我国GDP和我国航空运输每运输吨公里收入两个变量,利用线性回归分析的方法建立了我国航空运输需求函数,并根据需求函数绘制了我国航空运输需求曲线,然后根据需求函数和需求曲线测算了我国航空运输需求价格弹性值。最后,对本研究需要改进的方面进行了分析和总结。     

SETI implications of gravitational assist via chaotic trajectories of binary objects

Extrapolating from the technique of gravitational assist via chaotic trajectories of binary objects, this paper considers how such techniques might be used in other systems. We examine which types of systems are the best candidates for harvesting gravitational energy for payload ejection. We also consider what signatures might be present in either the asteroid orbits or radiation of the central body if extraterrestrial intelligences were to use such techniques about these candidate systems.The simulation studies show that current technology cannot approach the sensitivity needed to detect either of these signals. Instead, we provide these results as guidance to studies in coming decades on patterns that may indicate the use of an asteroid ejection system.     

Impact of local and global factors and meteorological parameters in temporal variation of atmospheric potential gradient

In this research work, we have performed comparative diurnal variations of atmospheric Potential Gradient (PG) of fair-weather days by using the data of three stations installed in Northern, Pakistan for the year 2018. We investigated the impact of both local and global factors and meteorological parameters in the diurnal variation of atmospheric Potential Gradient on the annual and seasonal time scale. We observed two peaks, primary and secondary. This is because of the land-based measurements of annual and seasonal variations. The annual average curve of Potential Gradient of all three stations: Islamabad (CES), Muzaffarabad (MZF), and Balakot (BKT) demonstrated a notable deviation from the standard oceanic Carnegie curve. The atmospheric Potential Gradient variations are due to numerous meteorological factors e.g., air pollution, humidity, aerosol particles, fog, and temperature. Among three stations, the MZF station is located in highland (mountainous) and it demonstrated a higher atmospheric Potential Gradient. We further differentiate the results of our three stations with global results for authenticity and observed coherence between them. In addition, a positive correlation of fair-weather Potential Gradient is observed with temperature and a notable correlation between relative humidity and atmospheric Potential Gradient for all the three observatories.     

Spatial modeling of flood probability using geo-environmental variables and machine learning models,case study: Tajan watershed,Iran

The main objective of this study was to produce flood susceptibility maps for Tajan watershed, Sari, Iran using three machine learning (ML) models including Self-Organization Map (SOM), Radial Basis Function Neural Network (RBFNN), and Multi-layers Perceptron (MLP). To reach such a goal, different physical-geographical factors (criteria) were integrated and mapped. 212 flood inventory map was randomly divided into training and testing datasets, where 148 flood locations (70%) were used for training and the remaining 64 locations (30%) were employed for testing. Model validation was performed using several statistical indices and the area under the curve (AUC). The results of the correlation matrix showed, three factors slope (0.277), distance from river (0.263), and altitude (0.223) were the most important factors affecting flood. The accuracy evaluation of the flood susceptibility maps through the AUC method and K-index shows that in the validation phase RBFNN (AUC = 0.90) outperform the MLP (AUC = 0.839) and SOM (AUC = 0.882) models. The highest percentage flood susceptibility of the area in MLP, SOM and RBFNN models is related to moderate (28.7%), very low (40%) and low (37%), respectively. Also, the validation results of the models using the Relative Flood Density (RFD) approach showed that very high class had the highest RFD value.