基于结构动力学特性的损伤识别方法

基于等效模态应变/动能理论,提出了一种利用实际结构的测试数据识别结构中损伤位置的方法。在此基础上,研究了利用模型修正技术识别结构中损伤强度的方法。分别以一个单损伤平板结构和多损伤平板结构为例,通过仿真分析了以上方法的有效性。结果表明,以上方法可以有效识别结构中的损伤位置和损伤强度。     

导弹撞地概率对参数选择的影响

研究了巡航导弹的撞地概率和系统参数选择的关系问题。首先在考虑了地形随机输入和低空风随机干扰共同作用的情况下，推导了撞地概率的计算方法。其次以导弹主要参数（ａ２４和Ｋｈ）的选择为例，在给定条件下求出了它们和撞地概率的关系曲线，并分析了它们对撞地概率的影响。研究结果表明，协调选择ａ２４和Ｋｈ等参数，能有效降低撞地概率，提高巡航导弹的作战效能。     

飞机带外挂对称结构振型局部化的参数影响

本文在文〔１〕研究的基础上，详细分析了飞机左右对称子结构间的耦合度以及外挂联接刚度失调量的大小等因素对振型局部化程度的影响。通过具体的数据揭示了各参数对局部化程序的影响规律。     

基于深度增强学习的卫星姿态控制方法

针对卫星在执行丢弃载荷或捕获目标等复杂任务时遭遇的姿态突然发生变化的问题,采用深度增强学习方法对卫星姿态进行控制,使卫星恢复稳定状态。具体来说,首先搭建飞行器的姿态动力学环境,并将连续的控制力矩输出离散化,然后采用Deep Q Network算法进行卫星自主姿态控制训练,以姿态角速度趋于稳定作为奖励获得离散行为的最优智能输出。仿真试验表明,面向空间卫星姿态控制的深度增强学习算法能够在卫星受到突发随机扰动后稳定卫星姿态,并能有效解决传统PD控制器依赖被控对象质量参数的难题。所提出的方法采用自主学习的方式对卫星姿态进行控制,具有很强的智能性和一定的普适性,在未来卫星执行复杂空间任务中的智能控制方面有着很好的应用潜力。     

Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.     

A drilling tool design and in situ identification of planetary regolith mechanical parameters

The physical and mechanical properties as well as the heat flux of regolith are critical evidence in the study of planetary origin and evolution. Moreover, the mechanical properties of planetary regolith have great value for guiding future human planetary activities. For planetary subsurface exploration, an inchworm boring robot (IBR) has been proposed to penetrate the regolith, and the mechanical properties of the regolith are expected to be simultaneously investigated during the penetration process using the drilling tool on the IBR. This paper provides a preliminary study of an in situ method for measuring planetary regolith mechanical parameters using a drilling tool on a test bed. A conical-screw drilling tool was designed, and its drilling load characteristics were experimentally analyzed. Based on the drilling tool-regolith interaction model, two identification methods for determining the planetary regolith bearing and shearing parameters are proposed. The bearing and shearing parameters of lunar regolith simulant were successfully determined according to the pressure-sinkage tests and shear tests conducted on the test bed. The effects of the operating parameters on the identification results were also analyzed. The results indicate a feasible scheme for future planetary subsurface exploration.     

基于新陈代谢GM（1,1）模型的导弹遥测故障预测算法

在人工监视遥测关键参数是否超出阈值范围以判断导弹故障的传统模式基础上,对GM（1,1）预测模型进行了改进,研究了基于新陈代谢的GM（1,1）预测算法对遥测参数实时预测效果.该算法能不断去掉最老的信息,充分利用最新的信息,避免了预测模型老化的现象;由于用于预测的数列维度较少,便于计算,能够保证算法的实时性.用MATLAB编程实现算法,比对实测数据的预测值与实际值,并进行误差分析.结果表明,该算法对遥测参数的预测精度较高,可为及时发现导弹故障提供科学的依据.     

孔挤压强化工艺参数对GH4169高温合金疲劳寿命影响分析

为探究孔挤压强化工艺参数对镍基高温合金GH4169低周疲劳寿命的影响规律,首先建立了经试验验证的孔挤压强化后GH4169带孔平板低周疲劳寿命模型,在此基础上研究了600℃、820MPa、应力比0.1条件下挤压量、前导角、后导角、摩擦因数、芯棒材料等典型工艺参数对孔挤压强化后疲劳寿命的影响规律。结果表明：提高挤压量能明显提升疲劳寿命,但过大的挤压量会导致疲劳寿命下降;增加前导角有助于改善挤入面疲劳寿命;后导角对疲劳寿命没有影响;摩擦因数的提高会对孔挤压强化效益产生负面影响;芯棒材料的屈服强度应大于被挤压材料。     

钛合金TC4的超硬磨料柔性抛光轮数控抛光试验研究

航空发动机叶片钛合金材料在数控磨抛加工中容易发生烧伤及黏附现象,针对常用的TC4材料开展了超硬磨料柔性抛光轮数控抛光试验研究。分析了超硬磨料柔性抛光轮抛光参数中转速、进给速度、预压量及行距对抛光去除深度及抛光后试件表面粗糙度的影响规律并通过正交试验分析了各抛光参数影响的主次关系。确认了钛合金试件抛光表面黏附物质成分,并同时分析了表面黏附物的形成原理。给出了TC4钛合金材料在超硬磨料柔性抛光轮数控抛光过程中工艺参数的选择策略,为TC4材料的航空发动机叶片和整体叶盘在超硬磨料柔性抛光轮数控抛光过程中提供理论依据和技术基础。     

概率密度曲线及其参数估计的模糊与随机方法

首次提出了概率密度曲线及其参数估计的模糊与随机方法,并以一组疲劳寿命数据为例描述了参数估计的具体过程。对随机样本分别采用模糊与随机方法和数理统计方法进行了参数估计,结果表明：用模糊与随机方法比用数理统计方法得到参数估计值更接近理论值。