库水-重力坝-无限地基系统地震响应分析

为了分析库水以及无限地基辐射阻尼对库水-重力坝-无限地基系统的地震响应影响,通过比例边界有限元法、有限元法以及无限单元法计算了库水-重力坝-无限地基系统的响应.基于SBFEM计算上游坝面库水压力,利用无限单元法分析无限地基辐射阻尼的影响,以Koyna重力坝为研究对象,给出了重力坝在不同地基弹性模量条件下地震位移时程以及应力的响应,随着地基弹性模量的增加,坝体响应增加.与无质量地基模型的计算结果进行对比,考虑无限地基辐射阻尼的计算结果较小.     

不确定单机无穷大系统的预测变结构控制

将不确定单机无穷大系统的非线性三阶模型转换成二阶模型,以便在相平面中直观地设计变结构控制律。使用系统不确定参数的上下限来设计控制律,以获得良好的鲁棒性。通过预测相轨线的走势确定控制切换时机,保证了系统轨迹以指数速率收敛到平衡点。由于控制律的切换不是连续的,因此避免了传统变结构控制中的抖振。在仿真时,系统的初始状态较大地偏离了平衡点,在仿真过程中,机械功率遭受了30%的临时干扰,仿真结果表明,系统轨迹能够快速地回到原来的平衡点,控制律具有很好的鲁棒性。     

由二元合金相图提取无限稀活度系数（英文）

提出了由二元相图提取定温下无限稀活度系数的方法,分别在正规溶液和Richardson假设条件下,计算了31个二元液态合金体系两组元无限稀活度系数,并与相应的实验值比较,所获得的平均相对误差为:共晶体系为23.2%和20.7%;含固溶体体系为19.4%和18.3%;含化合物体系为39.5%和46.1%;分层体系为25.8%和14.3%.结果表明:由共晶相图、含固溶体相图提取无限稀活度系数,有效性较好,由含化合物相图提取无限稀活度系数有效性较差.引入Richardson假设后,对计算值的精度有所提高.研究表明,运用二元相图提取无限稀活度系数方法提取二元合金体系无限稀活度系数是可行的.     

普通高校国防教育规范化建设刍议

国防教育是全民国防教育的基础,是高校思想政治教育的重要内容之一。高校国防教育通过军事技能训练、军事理论教学、日常国防教育活动、国防教育选修课等方式加强大学生的国防意识,分析了高校国防教育在规范化建设中存在的一些问题,探讨解决对策,以便有利于推进国防教育的可持续发展,促进国防教育实践的深入开展。     

焊接零部件工艺规划CAPP系统

介绍了为重型机械专门开发的焊接零部件工艺规划CAPP系统。该CAPP系统通过对重型机械焊接零部件特征的归纳总结，确立了对板材、型材和部件三种类型焊接零部件备料工艺工序制定的具体方法。在此基础上，此系统同时完成了工序工时、结构件材料和焊接材料定额的计算和汇总，从而使工艺规划和生产准备工作更加科学，有效地提高了工作效率，缩短了生产周期。     

基于压缩感知的高效视频解码算法

无线多媒体传感器网络系统存在无线信道随机衰落以及高误码率等问题,对视频应用的影响尤为突出。压缩感知理论应用于视频信号编码提供了一种抗无线信道随机衰落以及降低误码率的思路,但由于压缩感知重构算法的高复杂度,使得在解码端很难高效实时地恢复出视频序列。本文通过改进SL0算法的迭代搜索方向、迭代搜索方法 以及循环终止条件等提出了一种快速高效的基于平滑范数的压缩感知视频解码算法（Accurate direction smooth l0 algorithm,ADSL0）。算法采用严格的下降方向以及修正的迭代步长,保证了迭代路径的最优。实验结果表明,本文所提算法在重构精度和重构耗时上都明显优于其他同类算法。     

Recursive state estimation for discrete‐time nonlinear systems with event‐triggered data transmission,norm‐bounded uncertainties and multiple missing measurements

In this paper, we consider the recursive state estimation problem for a class of discrete‐time nonlinear systems with event‐triggered data transmission, norm‐bounded uncertainties, and multiple missing measurements. The phenomenon of event‐triggered communication mechanism occurs only when the specified event‐triggering condition is violated, which leads to a reduction in the number of excessive signal transmissions in a network. A sequence of independent Bernoulli random variables is employed to model the multiple measurements missing in the transmission. The norm‐bounded uncertainties that could be considered as external disturbances which lie in a bounded set. The purpose of the addressed filtering problem is to obtain an optimal robust recursive filter in the minimum‐variance sense such that with the simultaneous presence of event‐triggered data transmission, norm‐bounded uncertainties, and multiple missing measurements; the filtering error is minimized at each sampling time. By solving two Riccati‐like difference equations, the filter gain is calculated recursively. Based on the stochastic analysis theory, it is proved that the estimation error is bounded under certain conditions. Finally, two numerical examples are presented to demonstrate the effectiveness of the proposed algorithm. Copyright © 2016 John Wiley & Sons, Ltd.     

无限深透水坝基渗流场与应力场耦合分析

无限深透水坝基的渗流问题是建在此类地基上土石坝成败的关键问题。渗流场和应力场耦合计算更加符合渗流实际情况。该文基于土体孔隙率和渗透性的相互关系,借助有限元软件geostudio/seepage和Sigma/w双场耦合模型,研究符合耦合计算的操作步骤;利用模型对实际工程进行计算,得到了沉降量,孔隙率的变化,主应力、渗透量及渗透坡降等关键参数在耦合时的变化规律。计算结果说明了坝基孔隙率和渗透系数相互作用并趋于稳定的过程,符合实际观测情况。     

Stochastic stability and robust stabilization of semi‐Markov jump linear systems

The semi‐Markov jump linear system (S‐MJLS) is more general than the Markov jump linear system (MJLS) in modeling some practical systems. Unlike the constant transition rates in the MJLS, the transition rates of the S‐MJLS are time varying. This paper focuses on the robust stochastic stability condition and the robust control design problem for the S‐MJLS with norm‐bounded uncertainties. The infinitesimal generator for the constructed Lyapunov function is first derived. Numerically solvable sufficient conditions for the stochastic stability of S‐MJLSs are then established in terms of linear matrix inequalities. To reduce the conservativeness of the stability conditions, we propose to incorporate the upper and lower bounds of the transition rate and meanwhile apply a new partition scheme. The robust state feedback controller is accordingly developed. Simulation studies and comparisons demonstrate the effectiveness and advantages of the proposed methods. Copyright © 2012 John Wiley & Sons, Ltd.     

A distributed collaborative product design environment based on semantic norm model and role-based access control

With the boom of Internet Technology, it becomes possible to combine designers from different disciplines into one team to support product design globally. In this paper, a distributed collaborative product design environment is presented to support top-down process oriented product design. In conceptual design stage, the artifact is managed by semantic norm model (SNM). In SNM, the designers can define virtual components at early design stage and instantiate those components at later detailed design stage. By role-based access control (RBAC), different roles with corresponding permissions could be assigned to distributed designers, and the designers could concurrently modify different components of the product relevant to his or her roles. Based on the SNM and RBAC system, a distributed collaborative product design environment is developed and the top-down oriented product design process is demonstrated.