FUZZY RELIABILITY-BASED OPTIMUM DESIGN OF LAMINATED COMPOSITES

In conventional reliability-based optimum design of structures, the reliability is computed based on the probability assumption, and the design objective and constraint are considered as deterministic ones. In many cases, however, there exist some fuzzy factors in the design objective and constraint functions. In this paper, the fuzzy reliability and fuzzy constraint are introduced to establish the fuzzy reliability-based optimum model for laminated composites. The examples show that the method developed in this paper can give consideration to both the reliability demand and the economic aspect of a structure. Since the fuzzy reliability-based optimum design is a 'soft' design, the present results provide a new methodology for the effective evaluation of structural reliability and bring us an alternative optimum design idea.     

弹塑性力学中的模糊因素分析

本文分析了弹塑性力学中有关概念的模糊性,如弹性与塑性、屈服准则和破坏准则等.试图从精确力学中摆脱出来.     

振动频谱再分析的模糊模式识别法

本文首先讨论工程振动信号频谱再分析技术,针对所存在问题,提出模糊式识别再分析方法,以滚动轴承振动成因研究中的谱分析为例,具体介绍了频谱的峰值频率分布模式,模糊子集及隶属函数的确定,以及综合评判的识别过程,最后给出一具体计算结果。     

受模糊干扰的再生型颤振的模糊稳定性分析

首次在机床切削颤振分析中考虑了模糊不确定性因素的影响，利用模糊数学分析方法详细论述了受模糊干扰的再生型颤振的模糊稳定性分析问题，给出了模糊稳定性极限切削宽度集合的可能性分布及其置信区间表达式，最后依据所提出的理论分析方法，经计算编程绘制了模糊稳定性图。     

Fuzzy-PID设计及控制性能分析

分析了PID、Fuzzy-PID和FLC（Fuzzy Logic Controller）的相关性和内在联系，介绍了一种由PID参数间接推导出Fuzzy-PID参数的方法。以典型二阶线性系统为例进行了仿真研究，同时利用遗传算法优化控制器参数，并对比分析了Fuzzy-PID和PID、FLC这三种控制器的控制性能，验证了方法的有效性和实用性。     

在地震作用下结构的模糊随机振动

地震干扰不仅具有明显的随机性,而且由于地震烈度和场地土分类本身定义不明确而带来强烈的模糊性,本文在上述模糊性和随机性的基础上,建立了地震地面运动含模糊参数的平稳过程简化模型,研究了在其作用下单自由度滞后体系的模糊随机振动的分析与计算方法,由于问题的复杂性和某些数学上的困难,文中作了一些必要的简化,以作为模糊随机振动理论的初步探讨。     

模糊随机荷载激励下模糊桁架结构的模糊随机动力响应的双因子分析方法

采用了一种新的双因子分析法研究了模糊参数桁架结构在模糊随机荷载激励下的动力响应问题.同时考虑结构参数模糊性和外载荷幅值的模糊随机性,利用模糊因子法和振型迭加法求出了动力响应模糊随机变量;进而基于随机因子法推导了动力响应的模糊数字特征.最后通过算例考察了结构参数和荷载的不确定性对动力响应的影响.     

FAULT DIAGNOSIS OF ROTATING MACHINERY USING KNOWLEDGE-BASED FUZZY NEURAL NETWORK

A novel knowledge-based fuzzy neural network (KBFNN) for fault diagnosis is presented.Crude rules were extracted and the corresponding dependent factors and antecedent coverage factors were calculated firstly from the diagnostic sample based on rough sets theory.Then the number of rules was used to construct partially the structure of a fuzzy neural network and those factors were implemented as initial weights,with fuzzy output parameters being optimized by genetic algorithm.Such fuzzy neural network was called KBFNN.This KBFNN was utilized to identify typical faults of rotating machinery. Diagnostic results show that it has those merits of shorter training time and higher right diagnostic level compared to general fuzzy neural networks.     

论不确定性结构力学的发展

结构力学是直接为工程结构设计服务的,而工程设计中包含大量不确定性因素和信息,包括随机性、模糊性和未确知性信息．由于引用统计数学方法处理随机性问题,在结构力学中产生了可靠性理论和随机振动理论．随着模糊性和未确知性问题的提出和研究,近年来在结构力学中又逐渐形成了一些新的分支,包括结构的不确定性优化设计,广义(模糊随机)可靠性理论,模糊随机振动理论和模糊地震工程学等．本文简要地介绍这四个新的分支的发展情况,主要介绍作者及其学生们的工作,并着重介绍基本概念．