考虑鸟撞的航空发动机叶片动态拓扑优化设计

为了实现航空发动机冷端风扇叶片在考虑鸟撞情况下的轻量化设计,从结构拓扑优化计算的角度出发,对该问题展开深入的研究并提出具体的解决方案。针对叶片优化中存在的优化模型建立,结构动态工况优化,多条件约束并存处理,多工况联合优化等关键问题,进行了理论上的深入分析研究,阐述了结构多约束、多工况动态优化的理论基础,并结合相应的数值计算平台,提出了风扇叶片分步优化计算的方案,对航空发动机叶片进行拓扑优化计算。计算结果显示,最终的叶片轻量化结构满足所有鸟撞与离心载荷多工况的优化约束条件,拓扑结构中材料分布合理,在满足适航条例强度要求的同时质量减少达37.9%,具有一定的实际参考应用价值,同时所提出的动态优化计算方案,在工程结构的动态优化中具有广阔的应用前景。     

基于时空显著性建模的空中飞行器跟踪方法

以复杂背景下空中飞行器的鲁棒视觉跟踪问题为研究背景,为解决现有跟踪方法目标表征模型不够精确,算法鲁棒性严重受到目标形变、宽高比变化、复杂背景等因素干扰的问题,提出了建模跟踪场景中独立物体的显著性特性,用于构建精确的目标模型。提出的显著性估计方法有别于传统的单帧检测方法,利用跟踪算法提供的背景先验知识以及多帧图像观测数据,使用时空联合的方式进行建模估计,其结果用来指导目标跟踪算法选取有效视觉特征,建立精确目标表征模型,减小背景区域对算法模型的干扰。实验表明,提出的方法为上述难点问题提供了有效的解决方案,对空中飞行器的跟踪精度与鲁棒性优于大多数最先进的主流方法,在其他类型的目标跟踪任务中也有十分优越的性能表现。     

飞机结构有限元模型化的智能化方法应用研究

针对飞机结构的复杂性,提出了适用于飞机结构有限元模型化各阶段的整体式知识表达模型,并在此基础上,以 NASTRAN软件为依托,构造了基于推理和算法任务调度的有限元模型化过程求解模型,侧重剖析了模型化各阶段的具体分解任务内容。通过应用实例,说明其有效性。     

基于判定故障树的民航飞机故障诊断方法研究

针对飞机故障诊断专家系统中知识获取的瓶颈问题,提出了将故障隔离程序提取成判定故障树的形式,分析了扩展故障树的框架表示方法,给出了扩展故障树的快速诊断策略,解决了基于规则的诊断专家系统的知识获取难题.     

Polynomial Representation of NURBS and Its Application to High Frequency Scattering Prediction

This article presents a method that uses physical optics (PO) techniques to compute the monostatic radar cross section (RCS) of electrically large conducting objects modeled by non-uniform rational B-spline (NURBS) surfaces. At the beginning, a new algorithm to convert recursive B-spline basis function into piecewise polynomials in power form is presented. Then, algorithm computes the polynomial representation of B-spline basis functions and NURBS surface geometric parameters are obtained. The PO integral over NURBS surfaces of an electrically large conducting object is used to predict the object's RCS. The NURBS surface is divided into small piecewise polynomial parametric patches by isoparametric curves, and the PO integral expression over the parametric domain of each polynomial parametric patch is reduced to an analytical expression which permits an accurate and effective computation of the PO integral by using a modified Ludwig's algorithm. The RCS of the object can be obtained by adding up the PO integral contribution of each polynomial parametric patch. The effectiveness of this method is verified by numerical examples.     

基于稀疏直方图的空间机械臂视觉目标跟踪方法

视觉系统作为空间机械臂的重要组成部分,一项重要功能就是在复杂空间环境下在规定周期内自主、可靠地完成对空间目标的跟踪,即在相机采集的图像序列中定位目标区域。文章面向空间机械臂视觉跟踪的应用需求,提出一种基于稀疏直方图的视觉目标跟踪方法,在目标区域内选取相互重叠的局部图像块,通过组合全部图像块的稀疏系数构造直方图以获取目标表示,采用基于簇比重信息的相似性度量方法计算目标模板与候选目标之间的距离,将此距离作为粒子滤波的观测模型以在图像中确定目标位置。标准测试集测试、室内环境和在轨环境试验的定性和定量分析结果均表明文中方法可以实现对相机视场范围内目标的准确和可靠跟踪。     

Object-based representations of spatial images

Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.