焊接构造对T型接头超低周疲劳性能的影响

为了研究焊接细节对钢结构超低周疲劳性能的影响,以T型接头为对象,在通用有限元程序Abaqus平台上,开发基于Arlequin算法的结构多尺度计算程序. 利用多尺度算法,开展焊接接头的局部弹塑性有限元分析. 比较焊趾半径、厚钢板未熔透长度及焊趾表面凹凸对局部塑性应变履历的影响,利用Coffin-Manson模型对T型接头的超低周疲劳特性进行定性讨论. 数值计算结果表明,焊趾位置是焊接接头的超低周疲劳易损位置,厚钢板的未熔透长度对焊接部位局部塑性应变的影响不大;焊趾半径对焊趾局部塑性应变有较大的影响,增大焊趾半径可以有效提升钢结构在循环荷载下的超低周疲劳性能;焊趾表面的平整性是影响焊趾局部塑性应变履历的重要因素,尖锐的凹坑会明显降低焊接接头的超低周疲劳性能,磨平的焊趾表面可以减少局部塑性应变,提高接头的超低周疲劳强度.     

年最大洪峰流量群居蜘蛛优化投影寻踪预测模型

年最大洪峰流量预测,受较多的复杂因素的影响,不确定性较强,用常规统计方法做出准确预报具有较大困难。从水文序列本身出发,提出将投影回归模型应用于年最大洪峰流量预测,为了更好获得投影寻踪模型参数和预测精度,提出了运用延迟相关系数法确定回归预测因子、群居蜘蛛算法优化投影寻踪模型最佳投影方向参数a、利用最小二乘法确定多项式的权系数c、岭函数个数M的群居蜘蛛优化投影寻踪年最大洪峰流量预测模型,结合长江宜昌站(1882年-2004年)的年最大洪峰流量资料进行实例预测,训练阶段平均绝对相对误差为8.61%,预测阶段平均绝对相对误差为10.51%,该模型预测效果较好,模型结果稳定,可有效应用于年最大洪峰流量预测。     

单极板微位移电容传感器结构设计与优化

根据单极板微位移电容传感器结构优化设计的问题,提出了一种基于纵横推进法的电磁场仿真参数化建模方法。在建立合理的单极板电容传感器电磁仿真参数模型基础上,首先通过仿真实验选择保护环和绝缘层缺口的最优值。然后依据仿真得到的最优值,选择结构与最优值接近的电容传感器产品对比,取得了较好的研究结果,电容仿真值与实际测量值误差小于0.3%。最后对电容传感器极板倾斜对测量结果的影响进行了研究,极板倾斜2°时测量误差为1.6%。电容传感器结构优化结果满足实际工程要求。     

二维参数化图形技术研究进展

近几年来，参数化图形技术得到了不断的发展。目前已有多种参数化图形方法及系统。这些参数化图形方法可分为３种，即变分几何法、几何推理法和过程法。主要介绍这３种方法的研究进展。     

A parametric frequency response method for non-linear time-varying systems

A new parametric frequency response algorithm is introduced to investigate linear and non-linear dynamic systems with time-varying parameters. In the new algorithm the time-varying parameters are regarded as additional inputs of the systems and the non-linear generalised frequency response functions for multi-input-single-output systems are then employed to obtain Zadeh's system functions from a differential equation representation. The parametric frequency response method reveals how the time-varying parameters affect the behaviour of the systems through a time-varying term. The new method can be applied to both linear and non-linear time-varying systems.     

Chaos in parametric resonance flow at water-mercury interface

In the electrochemical system with liquid-liquid interface, intense local convections by the resonance with potential pulses take place. Therefore, with laser beam scattering, temporal movement of the water-mercury interface was observed. As a result, the scattering efficiency showed non-linear oscillation.

Such non-linear response could be controlled by potential pulse height. As the potential height was increased, new scattering peaks in the oscillation emerged, which was expected of a kind of bifurcation phenomenon. From these results, phase portrait, Poincarè section, correlation dimension of the strange attractor and the largest Lyapunov exponent of the trajectories were obtained. Consequently, it was concluded that all the parameters indicate chaotic behavior of the resonance flow.     

Non‐Parametric Identification Method of Volterra Kernels for Nonlinear Systems Excited by Multitone Signal

To solve the problem of Volterra frequency‐domain kernels (VFKs) of nonlinear systems, which can be difficult to identify, we propose a novel non‐parametric identification method based on multitone excitation. First, we have studied the output properties of VFKs of nonlinear systems excited by the multitone signal, and derived a formula for identifying VFKs. Second, to improve the efficiency of the non‐parametric identification method, we suggest an increase in the number of tones for multitone excitation to simultaneously identify multi‐point VFKs with one excitation. We also propose an algorithm for searching the frequency base of multitone excitation. Finally, we use the interpolation method to separate every order output of VFK and extract its output frequency components, then use the derived formula to calculate the VFKs. The theoretical analysis and simulation results indicate that the non‐parametric method has a high precision and convenience of operation, improving the conventional methods, which have the defects of being unable to precisely identify VFKs and identification results are limited to three‐order VFK.     

基于近似弧长参数化的机器人轨迹规划

主要研究了采用近似弧长参数化的插值方法进行关节式工业机器人的轨迹规划.运用近似弧长参数化的插值方法将机器人末端轨迹参数曲线离散为等弧长的插值点序列,通过机器人逆向运动学求解各关节的位移点序列,采用极限的方法进行各关节速度和加速度规划.这种轨迹规划方法可以避免关节空间的插值计算和雅克比矩阵的计算.在 matlab7.8平台上,对近似弧长参数化的插值方法、轨迹规划及可行性验证进行了实例仿真,仿真结果表明该轨迹规划方法是可行的.     

参数线性规划问题的新型光滑精确罚函数神经网络

针对不等式约束条件下,目标函数和约束条件中含有参数的线性规划问题,提出一种基于新型光滑精确罚函数的神经网络计算方法．引入误差函数构造单位阶跃函数的近似函数,给出一种更加精确地逼近于Ll精确罚函数的光滑罚函数,讨论了其基本性质;利用所提光滑精确罚函数建立了求解参数线性规划问题的神经网络模型,证明了该网络模型的稳定性和收敛性,并给出了详细的算法步骤．数值仿真验证了所提方法具有罚因子取值小、结构简单、计算精度高等优点．     

基于Pro/TOOLKIT异步模式特征识别方法

对Pro／Engineer（Pro／E）二次开发工具Pro／TOOLKIT（PTC公司为Pro／E软件提供的二次开发工具包）的异步模式进行了研究，充分利用参数化技术，开发了实体模型的特征识别系统。系统可以控制Pro／E的自动启动及关闭，使其在后台运行。通过模型的调用实现实体特征的快速识别提取，为模具估价系统的智能化设计做好了准备。