链传动相对齿轮传动的相似性设计

对目前的链传动设计方法进行了概述。通过比较分析与齿轮传动的相似性,提出了链传动的两个相似性假设,并给出了新的链传动设计方法。

钢筋混凝土结构小比例尺模型设计方法及相似性研究

为使试验结果能准确地反映原型的抗震性能,对模型的设计方法进行研究,分别按以承载力相似新方法和配筋率相同的常用设计方法设计模型构件,进行伪静力试验,把试验结果与原型构件试验结果进行对比分析;结果表明:等配筋率的设计方法易高估原型结构的力学性能,而承载力相似设计方法的试验结果误差较小。针对振动台试验中采用逐级加载方式给试验结果带来的误差,提出分级相似关系,即在每级次地震动输入后测得模型频率,根据自振频率比和弹性模量比之间的关系,来改变下阶段试验的弹性模量比,从而调整下一阶段相似关系来减小误差;且应用分级相似关系进行振动台试验,将试验结果与不采用分级相似关系的试验结果及直接对模型进行一次性输入的试验结果进行对比,验证分级相似关系的可行性,并提出分级相似关系的适用范围。

装配式桥墩模型设计方法及相似性研究

为使装配式桥墩模型能够准确反映原型结构的力学性能,对装配式桥墩按等配筋率的设计方法进行模型相似性设计。试验采用UHPC灌浆波纹管连接预制拼装墩柱模型进行拟静力往复加载试验,研究其柱脚塑性铰区的破坏机理,并对其破坏形态、极限承载力及位移延性与原型结构进行对比。研究表明,等配筋率模型设计方法在装配式桥梁模型设计中简单可行,试验结果与实际原型结构基本吻合。

基于proe注塑模具快速设计分析

在当下模具工业已经渗透到人们的生产和生活当中,成为我们不可或缺的一门技术。在市场竞争中要求我们降低成本,高效率的开发新产品,全面提高对市场的影响速度,所以用户对模具的制作周期要求越来越高,在这样的形式下,许多企业都采用CAD/CAE技术用于模具设计。利用实例库相似性索引方法提取所需的塑料模具原装配型,从而有效提高了相似制品模具的开发速度并且降低了模具的制作周期;加快模具的设计速度以及对市场的影响力。

哈汽—东芝型超超临界1000MW汽轮机

介绍了哈汽—东芝型超超临界1000MW汽轮机的技术特点。汽轮机通过采用相似性设计、新型的高温材料、充分的试验验证和先进的低压缸模块等一系列独特的结构和先进的技术,使机组的经济性和安全可靠性达到世界先进水平。

轨道车辆大部件焊接夹具柔性制造系统拓展研究

在分析目前国内轨道车辆的柔性焊接夹具不足的基础上,提出在现有柔性焊接夹具制造系统基础上拓展增加"产品相似性设计"和"柔性化程度分析"单元,从而对现有的柔性制造系统进行了完善,有效提高了现有柔性焊接夹具制造系统的经济性优势。并通过对侧墙、底架等车体大部件的工装生产实例,分析验证了该拓展单元的可行性。

基于Bayes推断的基因芯片探针特异性估计模型

序列相似性计算是生物信息处理中的基本问题。针对基因芯片设计中的特异性评价问题,基于Bayes推断,建立了DNA序列快速估计算法,该算法不需要序列联配(alignment-free),性能好于广泛应用的相似性计算工具,可以大幅提高基因芯片设计性能。

Similarity measure design for high dimensional data

Information analysis of high dimensional data was carried out through similarity measure application. High dimensional data were considered as the a typical structure. Additionally, overlapped and non-overlapped data were introduced, and similarity measure analysis was also illustrated and compared with conventional similarity measure. As a result, overlapped data comparison was possible to present similarity with conventional similarity measure. Non-overlapped data similarity analysis provided the clue to solve the similarity of high dimensional data. Considering high dimensional data analysis was designed with consideration of neighborhoods information. Conservative and strict solutions were proposed. Proposed similarity measure was applied to express financial fraud among multi dimensional datasets. In illustrative example, financial fraud similarity with respect to age, gender, qualification and job was presented. And with the proposed similarity measure, high dimensional personal data were calculated to evaluate how similar to the financial fraud. Calculation results show that the actual fraud has rather high similarity measure compared to the average, from minimal 0.0609 to maximal 0.1667.

Design of similarity measure for discrete data and application to multi-dimension

Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.

Similarity measure design on overlapped and non-overlapped data

Similarity measure design on non-overlapped data was carried out and compared with the case of overlapped data.Unconsistant feature of similarity on overlapped data to non-overlapped data was provided by example.By the artificial data illustration,it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped case.To overcome the unbalance problem,similarity measure on non-overlapped data was obtained by considering neighbor information.Hence,different approaches to design similarity measure were proposed and proved by consideration of neighbor information.With the example of artificial data,similarity measure calculation was carried out.Similarity measure extension to intuitionistic fuzzy sets(IFSs)containing uncertainty named hesitance was also followed.

Designing similarity measurement with distance measure and application on laterally directional mode flight test

Similarity measure construction has been proposed as fault detection of flight test method in order to obtain the primary control surface stuck and the combination stuck of primary control.Similarity measures were obtained through analyzing the certainty and uncertainty of fuzzy membership functions,which were designed based on well-known Hamming distance.It was applied to the fault detection of primary control surface stuck of uninhabited aerial vehicle(UAV).At post-failure control surface,if the UAV is controllable and trimmable using other control surfaces,the UAV is able to fly or return to the safety region through reconfiguration of flight control system.To detect the fault,similarity measure computations were carried out.This result could be applicable with the real-time parameter estimation method.By monitoring the value of coefficients due to the control surface deviation,it becomes aware that the control surface fault occurs or not.The control surface stuck position and value were separated by comparing the trim value with the reference value.This is the advantage of increasing in reliability without adding sensors or with additional low cost.