Skeletal reduction of boundary value problems

Boundary value problems posed over thin solids are amenable to a dimensional reduction in that one or more spatial variables may be eliminated from the governing equation, resulting in significant computational gains with minimal loss in accuracy. Extant dimensional reduction techniques rely on representing the solid as a hypothetical mid‐surface plus a possibly varying thickness. Such techniques are however hard to automate since the mid‐surface is often ill‐defined and ambiguous. We propose here a skeletal representation based dimensional reduction of boundary value problems. The proposed technique has the computational advantages of mid‐surface reduction, but can be easily automated. A systematic methodology is presented for reducing boundary value problems to lower‐dimensional problems over the skeleton of a solid. The theoretical properties of the proposed method are derived, and supported by representative numerical experiments. Copyright © 2005 John Wiley & Sons, Ltd.     

抽油杆钢组织的转变分析与工艺改进

针对石钢公司开发的抽油杆钢出现的组织不均匀性和异常组织,通过现场测定不同冷却条件下钢材的金相组织,得出了化学成分、冷却工艺与组织形态之间的关系,据此为轧后控制冷却制定了合理的冷却工艺,从而改善了抽油杆钢材的组织,提高了钢材的综合性能.     

高速运动目标测试数据处理精度的方法研究

在利用微波干涉进行高速运动目标参数测试过程中,噪声是影响测试数据处理精度的关键因素,文章通过分析微波干涉信号的基本特点,利用小波变换与精确时域处理相结合的方法,对运动目标干涉信号进行了处理,得到了平滑的测试曲线,提高了数据处理结果的精度.同时该方法也可用于其他高噪变频数据的频率提取,具有通用性.     

利用测量TA与小波变换的配电网故障检测技术

在详细分析测量TA饱和机理的基础上，对其暂态过程进行了全面仿真。提出了一种新的基于小波变换技术的测量TA饱和检测方法，具有可行性高，可靠性高的优点，能够有效地找到TA饱和过程中二次输出的线性传变区，计算出故障电流的幅值。     

基于频域内插抗混叠Shannon小波包的谐波检测研究

提出了一种基于频域内插抗混叠Shannon小波包变换的谐波检测技术,首先分析了小波混叠的物理本质,然后选择分频严格的Shannon小波函数构造了频域内插方法,并利用线性调频Z变换进行快速求解,最后给出了小波包变换算法.仿真实验表明该方法可有效消除谐波检测中的小波混叠现象.     

基于小波的灰色预测理论应用于水电机组故障预测分析

基于神经网络"能量-故障"映射关系,提出将小波频带分析与灰色预测理论相结合进行水电机组故障预测.运用小波分解提取各频带能量,应用预测理论建立水电机组故障特征量的预测模型,预测各频率成分能量的变化,重构由预测各频带能量成分组成的特征向量,应用于水电机组故障预测分析.以水轮机主轴摆度信号为例,应用该方法进行了特征信息提取和预测,表明将小波能量提取与灰色预测理论相结合进行振动特征信息的预测比较有效,为故障预测提供了新思路.     

采用小波变换检测和定位电能质量扰动

从小波变换能够突出信号局部特征的特性出发,探讨了多尺度小波变换模极大值与信号突变点之间的关系,分析了对电网电压跌落及周期脉冲等典型电能质量扰动进行检测与定位的方法。为验证方法的有效性,进行了相应的仿真研究。结果证实了小波变换能更精确地检测和定位电能质量扰动。     

配电网单相接地故障选线方案

配电网单相接地故障选线问题由来已久,以往的研究主要集中在相对理想情况下的基于单一特征量的选线方法,而缺乏对单相接地故障的准确确认和对故障信息的充分、有效利用,并且对选线判据在复杂条件下的自适应性和容错性的分析不够深入,这就导致了在实际的生产运行中难以正确实现既定的选线方法,最终容易造成误选。该文首先区分可能造成混淆的故障类型;然后提出了同时运用电压、电流分量的自适应性强、容错性能好的内积选线判据;最后,提出考虑极端情况下的补救方法,从而实现了选线方法在理论上的完备性。大量的EMTP仿真分析结果都表明,该方法能够准确地判定单相接地故障、可靠地选出接地线路,具有很强的鲁棒性。     

Features of energy distribution for blast vibration signals based on wavelet packet decomposition

Blast vibration analysis constitutes the foundation for studying the control of blasting vibration damage and provides the precondition of controlling blasting vibration. Based on the characteristics of short-time non-stationary random signal, the laws of energy distribution are investigated for blasting vibration signals in different blasting conditions by means of the wavelet packet analysis technique. The characteristics of wavelet transform and wavelet packet analysis are introduced. Then, blasting vibration signals of different blasting conditions are analysed by the wavelet packet analysis technique using MATLAB; energy distribution for different frequency bands is obtained. It is concluded that the energy distribution of blasting vibration signals varies with maximum decking charge, millisecond delay time and distances between explosion and the measuring point. The results show that the wavelet packet analysis method is an effective means for studying blasting seismic effect in its entirety, especially for constituting velocity-frequency criteria. Foundation item: Project(50490272) supported by the National Natural Science Foundation of China; project(2004036430) supported by the Postdoctoral Science Foundation of China     

活性炭载体对TiO2/活性炭中二氧化钛晶粒生长及相变的影响

以活性炭为载体,采用溶胶-凝胶法制备了TiO2/活性炭(TiO2/AC)复合体,并利用SEM和XRD手段对复合体进行表征,通过Dt2=ktnexp(-E/RT)方程的计算,分析,研究活性炭对复合体中TiO2晶粒生长及其相变的影响.结果表明TiO2/AC复合体晶粒粒径增长的时间比TiO2本体短;TiO2/AC复合体纳米粒子平均尺寸为50nm比TiO2本体小;锐钛矿向金红石转变的相变温度和晶粒生长最快温度TiO2/AC复合体比TiO2本体高.锐钛矿和金红石晶粒生长的表观活化能TiO2/AC复合体分别为6.21±1.27和46.54±1.56kJ/mol,TiO2本体分别为5.764±1.02和36.4±1.14kJ/mol.在锐钛矿阶段和金红石阶段TiO2/AC复合体反应指数分别为0.19和0.35,而TiO2本体分别为0.13和0.26.原因是活性炭的强吸附力和非晶相层对TiO2晶粒生长的阻遏作用.