SiO_2对自蔓延高温合成Al_2O_3-TiB_2复相陶瓷性能的影响

利用自蔓延高温合成技术,用SiO2作添加剂制备出了Al2O3-TiB2复相陶瓷.研究了SiO2含量对自蔓延反应的绝热温度、燃烧速度、反应产物的体积和致密度的影响,并测定了复相陶瓷的抗弯强度和硬度.研究结果表明,Al-TiO2-H3BO3体系的绝热温度是2 588 K,且随SiO2含量的增加而降低;添加SiO2的合成产物中有SiO2和Al6O13Si2相生成;SiO2的加入还降低了反应体系的燃烧速度;当SiO2的添加量在0~20%变化时,复相陶瓷的密度达到1.603 g/cm3,相应的坯体体积变化率为9.25%~9.82%;复相陶瓷的硬度也随着SiO2添加量的增加而增大;在Al-TiO2-H3BO3体系中添加20%的SiO2,可使Al2O3-TiB2的抗弯强度提高2倍.     

高速动车组碰撞仿真研究

以CRH3动车组为载体,应用碰撞仿真软件PAM-CRASH进行碰撞数值模拟分析,得到CRH3动车组在大变形碰撞时的变形模式及车与车之间的吸能情况、撞击力、撞击作用时间、各车的速度、加速度等一系列参数的变化规律.同时加入假人模型,通过数值仿真,对假人模型各伤害指标进行评价,提出碰撞时人体造成伤害的关键因素,实现车辆的被动安全保护,为企业提供理论依据.     

A-SMGCS机场场面运行控制的Petri网建模

以基本网模型为基础,阐述典型运行单元精细化模块构建方法与替代规则,生成场面精细化模型.采用航空器后续滑行路径对托肯进行着色以完成航空器建模,并给出精细化模型与航空器模型集成的方法,实现场面资源的动态竞争建模.以首都机场部分场面运行控制过程建模为例,验证所提建模方法的有效性和适用性.     

基于PROE的船舶机舱三维布置设计研究

以某集装箱船为例,应用PROE进行船舶机舱三维设计,以探索通用三维CAD软件在船舶机舱三维布置设计方面的应用,提高常规精度设计的选择范围.研究结果表明,将PROE软件在通用机械制造领域中的先进成熟技术引用到船舶行业是可行的.对于中、小规模设计需求而言,PROE完全可以满足设计要求,同时其通用性、便捷性可以大大提高设计效率.     

三维激光扫描技术在大型舱容测量中的应用研究

大型舱容标定对于不同货物密度、船体强度和倾斜度等配载情况下的容积修正和及时的容积表更新都具有重要意义。为实现大型复杂船舱的精确、快速容积标定,利用三维激光扫描技术获取船舱内外完整的点云数据,经过点云配准、点云滤波、点云空洞修补等预处理后,对点云进行自动、半自动分割,再利用NURBS曲面重建方法构造出完整的船舱整体结构三维模型。设计出一套船舱构件模型库和基于NURBS曲面的曲面求交、曲面三角剖分和容积计算方法,并利用ObjectARX开发出一套基于AutoCAD平台的船舱模型重建和容积计算系统。提出的方法和系统在实船实验中的结果表明,数据处理效率高,相对误差小于0．2％。     

Dynamic Obstacle Avoidance for Application of Human-Robot Cooperative Dispensing Medicines

For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a human-robot collaboration scenario,the safety of human,robot,and equipment in the environment is paramount.In this work,a practical and effective robot motion planning method is proposed for dynamic unstructured environments.To figure out the problems of blind zones of single depth sensor and dynamic obstacle avoidance,we first propose a method for establishing offline mapping and online fusion of multi-sensor depth images and 3D grids of the robot workspace,which is used to determine the occupation states of the 3D grids occluded by robots and obstacles and to conduct real-time estimation of the minimum distance between the robot and obstacles.Then,based on the reactive control method,the attractive and repulsive forces are calculated and transformed into robot joint velocities to avoid obstacles in real time.Finally,the robot's dynamic obstacle avoidance ability is evaluated on an experimental platform with a UR5 robot and two KinectV2 RGB-D sensors,and the effectiveness of the proposed method is verified.     

Forecasting travel behavior using Markov Chains-based approaches

Recent advances in agent-based micro-simulation modeling have further highlighted the importance of a thorough full synthetic population procedure for guaranteeing the correct characterization of real-world populations and underlying travel demands. In this regard, we propose an integrated approach including Markov Chain Monte Carlo (MCMC) simulation and profiling-based methods to capture the behavioral complexity and the great heterogeneity of agents of the true population through representative micro-samples. The population synthesis method is capable of building the joint distribution of a given population with its corresponding marginal distributions using either full or partial conditional probabilities or both of them simultaneously. In particular, the estimation of socio-demographic or transport-related variables and the characterization of daily activity-travel patterns are included within the framework. The fully probabilistic structure based on Markov Chains characterizing this framework makes it innovative compared to standard activity-based models. Moreover, data stemming from the 2010 Belgian Household Daily Travel Survey (BELDAM) are used to calibrate the modeling framework. We illustrate that this framework effectively captures the behavioral heterogeneity of travelers. Furthermore, we demonstrate that the proposed framework is adequately adapted to meeting the demand for large-scale micro-simulation scenarios of transportation and urban systems.     

A bi-objective optimization framework for three-dimensional road alignment design

Optimization of three-dimensional road alignments is a nonlinear non-convex optimization problem. The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment. In this study, we developed a novel bi-objective optimization approach to solve a three dimensional road alignment problem where the horizontal and vertical alignments are optimized simultaneously. Two conflicting cost objective functions, earthwork cost and the utility cost, are cast in a bi-objective optimization problem. We numerically compare several multi-objective optimization solvers, and find that it is possible to determine the Pareto front in a reasonable time.     

基于BIM的山岭隧道施工信息化管理系统研发与应用

隧道施工现场采集的结构、地质、施工信息碎片化严重，缺乏统一组织手段，分析利用难度大，隧道动态设计与信息化施工水平有待提高。为支撑隧道工程施工信息化，对施工数据进行标准化定义，开发数据标准化工具，以支撑施工期异构数据统一组织应用。针对BIM技术在设计与施工中难以落地、工程数据难以集成的问题，研究多尺度BIM模型建立方法，并以里程为索引，集成地质、进度、设计方案等信息，实现施工数据统一管理与可视化。基于动态更新的施工现场数据与轻量化BIM模型，建立以集成信息模型为核心，桌面端、网页端与移动端应用综合服务的施工信息化管理系统，提供全面施工决策信息，动态评估施工风险，保障工程效率与安全。经云南老营特长公路隧道工程实践验证，本系统基本满足信息化管理需求，对隧道工程信息化管理及BIM技术的工程应用具有借鉴意义。     

面向性能测试的TTCN-3

分析了现有TTCN-3标准中测试判决、时钟和同步机制等的局限性,从TTCN-3核心语言的性能扩展、测试系统自身的性能评估和外部函数的重新设计三方面探讨了基于TTCN-3的性能测试描述方法,提出了面向性能测试的TTCN-3,并将其应用于路由器的性能测试.实验表明,面向性能测试的TTCN-3不仅能简化路由器性能测试的描述,而且使得测试结果更能反映被测路由器的真实性能.