螺栓连接大变形梁非线性振动特性的实验研究

柔性机械臂、大型可展开天线等机械结构的动作精度受运动过程中大变形几何非线性和连接处接触非线性的影响十分显著。以含螺栓连接结构的大变形梁作为研究对象，针对动力学建模和振动特性开展了实验研究，通过数值计算验证了实验发现的非线性振动特性。搭建了含螺栓连接柔性大变形梁的实验台架，开展了敲击和正弦激振的实验测试。实验结果表明，螺栓连接的柔性梁较连续梁的（无螺栓连接）模态频率降低，阻尼增加，反映出随着激励能量增大，模态频率降低的非线性模态特征。改变螺栓连接位置会显著影响结构的模态频率，其变化规律可由求解线性矩阵特征值定性反映。     

轧制道次间插入冷却对特厚钢板组织与性能的影响

使用实验轧机旁冷却装置配合轧机进行轧制实验，研究轧制道次间不同冷却工艺对特厚钢板组织和性能的影响规律.研究结果表明:采用道次间冷却工艺可以在全厚度方向获得组织细化及强韧性提高效果，采用强冷道次间冷却实验钢1/4处晶粒尺寸可细化至10μm，强度为376MPa，-40℃冲击功为169J;心部晶粒尺寸可细化至15μm，强度为360MPa，-40℃冲击功为123J.本工艺可形成470μm厚表层细晶层，晶粒尺寸可细化至5μm;粗轧道次间插入冷却工艺轧制钢板强度和冲击韧性优于中间坯冷却工艺;随冷却强度增加，钢板内部组织明显细化且强度大幅提高.     

Seismites(地震岩)等术语的概念与名称

seismites,按其字面意思理应翻译成地震岩,即与地震有成因联系或受发震断裂改造、变形的岩石。按发震时地质材料的固结程度与力学性质,地震岩可分为震积岩(地震时尚未固结成岩的含水沙土层,即软沉积物)和脆性断层岩(地震时已经固结成岩的沉积岩、岩浆岩和变质岩)。脆性断层岩包括断层角砾岩、碎裂岩、超碎裂岩、假熔岩和断层泥等。发育由沙土液化形成的软沉积物变形构造的沉积岩,统称为“沙土液化岩”(liquefactites),但是长期以来一直被误译为seismites。大量的研究表明,并不是所有的沙土液化和软沉积物变形都是由地震造成的,也并不是所有地震都能导致沙土液化。只有那些所在区域存在重要发震断层、真正由地震引起的区域性的沙土液化造成的软沉积物发育变形构造的岩层才能称之为震积岩(seismic liquefactites)。震积岩不应再翻译成seismites。零星出现的软沉积物变形构造与沙土液化构造(例如:砂涌丘)不足以作为古地震的证据。     

借助Matlab遗传算法反演火山区压力源参数

首先分析了Mogi模型的经典最小二乘反演由于出现矩阵奇异或接近奇异而发散的局限性,决定采用具有全局高效搜索性和优化计算时不需要求导的遗传算法来反演火山区压力源参数。反演程序调用Matlab7.0 Release14工具箱中的选择、交叉和变异等相关程序。最后应用该程序和长白山天池火山区水准和GPS观测资料联合反演火山区压力源参数,经过比较遗传算法和阻尼最小二乘方法的反演结果,可看出2种方法结果近似,可见此方法方便快捷地实现了目标函数的最小化。     

地表移动破坏裂缝特征及其控制方法

通过分析地下开采的影响，黄土覆盖层变形裂缝规律，提出以开采方法和工艺方式来控制或减弱地表变形裂缝破坏程度，并在保护地表建筑物的前提下，最大限度回收“三下”呆滞煤炭     

连铸板坯外形的在线检测方法

介绍了板坯外形在线检测的测量原理，计算方法，并给出了实验测量方法，过程及计算机图像处理系统的处理结果，该方法简单，实用，精度较高。     

平面弹性连杆机构的KED分析

本文放弃了文献中引用的运动学假设和瞬时结构假定,考虑了刚体运动和弹性变形运动之间的耦合项,分析了梁的横向位移对轴向应变的影响。利用虚位移原理和达明贝尔原理,建立了构件和系统的运动微分方程式。以四杆较接机构为例,进行了KED分析。从所得结果可以看出,本文更好地反映出弹性对机构动态误差的影响。     

铝合金变形抗力的实验研究

采用恒应变速率凸轮式形变压缩试验机试验了四种铝合金材料的变形抗力 ,分析了应变率和应变速率对变形抗力的影响 ,结果表明随应变的增加 ,变形抗力以近似幂函数关系增加 ,在此基础上建立了简单、适用的变形抗力计算模型     

The detection of structural deformation errors in attitude determination

In the determination of the attitude parameters from a multi-antenna GPS array, one of the major assumptions is that the body frame is rigid at all times. If this assumption is not true then the derived attitude parameters will be in error. It is well known that in airborne platforms the wings often experience some displacement during flight, especially during periods of initializing maneouvres, such as taking off, landing,and banking. Often it is at these points in time that it is most critical to have the most precise attitude parameters.There are a number of techniques available for the detection of modeling errors.The CUSUM algorithm has successfully been implemented in the past to detect small persistent changes. In this paper the authors investigate different methods of generating the residuals, to be tested by the CUSUM algorithm, in an effort to determine which technique is best suited for the detection of structural deformation of an airborne platform. The methods investigated include monitoring the mean of the residuals generated from the difference between the known body frame coordinates, and those calculated from the derived attitude parameters. The generated residuals are then passed to a CUSUM algorithm to detect any small persistent changes. An alternative method involves transforming the generated residuals into the frequency domain through the use of the Fast Fourier Transform. The CUSUM algorithm is then used to detect any frequency changes. The final technique investigated involves transforming the generated residuals using the Haar wavelet. The wavelet coefficients are then monitored by the CUSUM algorithm in order to detect any significant change to the rigidity of the body frame.Detecting structural deformation, and quantifying the degree of deformation, during flight will ensure that these effects can be removed from the system, thus ensuring the most precise and reliable attitude parameter solutions. This paper, through a series ofsimulations, will assess the effectiveness of the above mentioned techniques for detecting structural deformation effects on a GPS multi-antenna array. These principles are then tested with experimental data.     

黄土滑坡形变分析预报方法研究

基于黄土滑坡的变形特征和演化规律，利用滑体总形变量与滑坡演变过程形变量之间的逼近关系，建立了一种简单，实用的滑坡预报数学模型，其效果良好，为黄土滑坡时间预报由定性分析向定量评价提供了途径。