含Nd稀土相对高温钛合金低周疲劳裂纹萌生与扩展行为的影响

实验研究了含稀土Ｎｄ高温钛合金中稀土相颗粒与室温及６００℃低周疲劳裂纹萌生与扩展行为的关系。结果表明，疲劳裂纹在距颗粒一定距离的基体中产生，而不在预先开裂或脱粘的颗粒处萌生。裂纹扩展时绕过颗粒并使裂纹扩展路径曲折化。     

炭纤维织物对炭／炭复合材料韧性的影响

探讨了炭／炭复合材料中炭纤维增强织物形式及处理方式对其韧性的影响，并通过材料微观结构及数据的分析得出，经处理的炭／炭复合材料的弯曲强度和破坏挠度分别经同类材料提高５０％和８０％。     

凸曲面的离散求交算法及其在飞机设计上的应用

构建精确的目标外形是飞机设计的必要条件。本文给出了凸曲面离散求交的算法，在飞机设计中采用此方法，能够得到机身机翼交线的准确位置。     

晶振式非接触表面轮廓传感器的动态特性

从理论上对线性伸展模式的石英振子的动态特性进行了分析，讨论了在近场效应作用下，影响晶振品质因数的各种阻尼，并将所获得的解析模型与实验结果进行了比较。     

带LCD复位的正—反激组合式变换器的理论分析与实验验证

正－反激组合式变换器中，两个变压器轮流向负载传递功率，ＬＣＤ缓冲网络实现了功率器件的零电压关断，并且将多余的能量回馈电网，减小了关断损耗，提高了效率，文中详细分析了该变换器的工作原理，列出了各种工作状态下的等值电路和微分方程，给出了各工作状态转换的条件，并绘制了５０Ｗ１００ｋＨｚ实验电路的实验波形，验证了理论分析的正确性。     

美国研制升力体空间站救生艇

该文介绍美国空间站救生艇—升力体的要求,飞行试验计划、发射方法、结构和着陆系统。     

PARAMETER IDENTIFICATION METHOD OF NONLINEAR JOINTS

Ｉｎｔｈｅａｎａｌｙｓｉｓｏｆｄｙｎａｍｉｃｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｅｎｇｉｎｅｅｒｉｎｇｓｔｒｕｃｔｕｒｅｓ，ｔｈｅｃｏｎｎｅｃｔｉｎｇｅｌｅｍｅｎｔｓ（ｊｏｉｎｔｓ）ｐｌａｙａｎｉｍｐｏｒｔａｎｔｒｏｌｅｉｎｔｈｅｏｖｅｒａｌｄｙ－ｎａ...     

如何避免态度测量偏差

从心理学的角度，阐述态度测量过程中影响被调查者作出正确反应的各种因素，并对消除这些因素的影响进行研究，改为进测量设计、提高测量结果的准确性提供依据。     

Intelligent SINS/RDSS Integrated Algorithms for Land Vehicle Navigation

This is a discussion of the design of strap-down inertial navigation systems (SINS) and radio determination satellite service (RDSS) integrated navigation algorithms. The research aims at testing the effectiveness of artificial intelligence (AI)-aided Kalman filtering (KF) approaches for land vehicle applications. A back-propagation neural network (BPNN)-aided K*F algorithm and a fuzzy inference-based KF algorithm are presented in order to overcome the time delay of RDSS positioning provided by a double-star positioning system in China. Traditional KF causes biased solutions, and indeed, leads to filter instability easily since the time delay of RDSS positioning, in an active mode, is hard to be modeled and sometimes suffers from RDSS outages. Therefore, a fuzzy inference is used to correct the variance matrix of KE measurement noises adaptively; and a trained BPNN corrects the outputs of the Kalman filter. The algorithms proposed herein have been verified on real SINSIRDSS data. collected in land vehicle tests and are compared with other approaches. The results demonstrate that fuzzy inference-based KF algorithms improve the positioning accuracy to over 40 % better than KF algorithms, and BPNN-aided KF algorithms have the same precision as GPS which is the reference station In dynamic experiments without RDSS outages. The test results with RDSS outages indicate that the fuzzy inference-based KF is feasible but with positioning errors of hundreds of meters, so the BPNN-aided KF is designed to efficiently compensate for RDSS outages and improve system performance.