含模糊参数的随机振动

本文在抗震结构模糊随机振动的研究基础上,进一步研究含模糊参数的随机振动分析方法,为了较好地描述具有模糊性的随机干扰,首先在Zadeh定义的模糊变量的基础上,定义了含模糊参数的随机变量和含模糊参数的随机过程,并讨论了它们的概率分布和数字特征;然后将模糊随机干扰模拟为含模糊参数的随机过程,提出了在这种模糊随机干扰下振动体系的模糊随机反应分析的基本方法和数值方法;最后对于抗震结构的模糊随机振动给出了具体的分析和算例     

Theory of fuzzy random vibration with fuzzy parameters

In this paper, based on our previous papers [1–4], the general theory of fuzzy random vibration with fuzzy parameters is studied. In order to better describe the random excitation with fuzziness in mathematics, first, the random variable and random process with a fuzzy parameter are defined and their probability distributions and statistical moments are discussed. Secondly, by simulating the fuzzy random excitation as a random process with a fuzzy parameter, the fundamental method and numerical method are presented for analysing the fuzzy random response of linear or nonlinear oscillators subjected to this kind of excitation. Finally, the methods are applied to the fuzzy random vibration of aseismic structures and a concrete example is given.This paper is supported by the Natural Science Foundation of China.     

抗震设防决策中的模糊信息处理

抗震设防决策过程中涉及到许多对整个分析过程都具有重要意义的模糊信息 ,本文提出一种结合模糊信息进行地震危险性概率分析与抗震设防决策的方法 ,介绍了用模糊集模拟模糊信息的原理 ,以及进一步处理模糊信息的区间分析顶点法。作为一例 ,这些方法结合基于泊松分布的地震烈度发生概率模型 ,应用于南京市区未来 5 0年的地震危险性与抗震设防效益分析 ,提供模糊的结论供设防决策参考。     

基于Welch法的协方差随机子空间方法的模态参数识别

对工程结构进行环境激励下的模态参数识别具有重要意义, 而随机子空间法作为适合环境激励下模态参数识别的时域方法, 由于噪声和复杂激励的原因, 会产生虚假模态、真实模态遗漏、系统自动定阶难和计算效率等问题, 这些问题阻碍了该方法在实际工程中的广泛应用. 本文提出了基于Welch法的随机子空间方法, 通过Welch法对振动响应在频域进行去噪、降低环境激励和其他不确定性因素影响的处理, 把结构固有模态从噪声和激励频率中突显出来, 形成富含更多结构模态的Toeplitz矩阵, 然后进行奇异值分解和状态矩阵计算, 最后进行特征值分析. 为了实现自动定阶, 对不同奇异值分量构建的状态矩阵得到的特征参数, 进行模糊C均值聚类分析和模态的平均相位偏移分析, 剔除虚假模态, 实现结构模态参数的自动识别. 并把本文所提出方法应用于一座大跨悬索桥的实测加速度响应分析, 和一座七十层的高层建筑的加速度响应分析, 跟频域分解法、传统随机子空间法和基于相关分析的随机子空间法的计算结果进行了比较, 发现基于Welch方法的随机子空间法相比于传统随机子空间法和基于相关分析的随机子空间法, 在避免模态遗漏和计算效率方面有显著提高, 而相对于频域分解法则在自动识别和剔除虚假模态方面有明显优势.      

MILM hybrid identification method of fractional order neural-fuzzy Hammerstein model

Aiming at the difficult identification of fractional order Hammerstein nonlinear systems, including many identification parameters and coupling variables, unmeasurable intermediate variables, difficulty in estimating the fractional order, and low accuracy of identification algorithms, a multiple innovation Levenberg–Marquardt algorithm (MILM) hybrid identification method based on the fractional order neuro-fuzzy Hammerstein model is proposed. First, a fractional order discrete neuro-fuzzy Hammerstein system model is constructed; secondly, the neuro-fuzzy network structure and network parameters are determined based on fuzzy clustering, and the self-learning clustering algorithm is used to determine the antecedent parameters of the neuro-fuzzy network model; then the multiple innovation principle is combined with the Levenberg–Marquardt algorithm, and the MILM hybrid algorithm is used to estimate the linear module parameters and fractional order. Finally, the academic example of the fractional order Hammerstein nonlinear system and the example of a flexible manipulator are identified to prove the effectiveness of the proposed algorithm.

     

基于神经网络方法的包装件非线性特性识别的研究

结合模糊集合理论，将结构化神经网络方法用于包装件缓冲垫层非线性特性识别问题．对于两种典型的包装件缓冲垫层材料模型的模拟识别结果表明，据此方法可以较好地获得其非线性特性．模糊自适应技术的引入，提高了网络训练速度，减少了对于训练参数的人为干预，使得结构化神经网络方法更适于实际应用．     

Identification of a bolted-joint model with fuzzy parameters loaded normal to the contact interface

Modeling and identification of a joint with load normal to the contact interface of two connected rods is discussed in this paper. An experimental setup for the analysis of the joint is proposed and measurement results are presented. The perception that both the damping behavior and the stiffness of the joint are influenced by a large number of effects that can hardly be modeled motivates the use of a rather simple model, but with fuzzy-valued model parameters, instead of crisp ones. In this concept, the uncertainty and variability of the model parameters can be taken into account by representing the parameters as fuzzy numbers that can be identified on the basis of the measured data. The identification of the fuzzy parameters proves to be a non-trivial problem which can be solved by applying the transformation method as a special implementation of fuzzy arithmetic.     

基于模糊逻辑的光纤陀螺温度补偿技术

为了消除温度效应并提高陀螺精度,将模糊逻辑应用于光纤陀螺的温度漂移模型的辨识和自补偿中方案中。在模糊逻辑理论的框架下,根据光纤陀螺系统的模糊信息,建立模糊规则,进行模糊推理,实现对陀螺输出的近似辨识。此方法对其他没有温度相似性的陀螺也适用。在实际验证实验中,针对不同的陀螺,通过预先实验建立各自的规则表,然后进行实时补偿,在全温度范围内陀螺的零偏稳定性从0.3647(o)/h减小到0.0868(o)/h,陀螺预热时间缩短到30s以内。目前,在陀螺工艺条件还不够稳定的状态下,此方案是实用和可行的。     

基于模糊推理网的高层结构智能型式优化方法与系统

首先,给出了一种改进加权模糊推理网,建立了基于该推理网的结构性能评价过程与方法,该网兼有模糊综合评判、模糊推理与模糊推理网等算法共同优点;然后,给出了一种基于模糊综合评判的优选法,将其与六个目标级性能的评价网集成,形成了兼有性能评价与优选功能的集成推理网络系统,给出了该集成系统的网络结构图及其决策函数,同时,建立了基于上述方法的结构智能型式优化支持系统;最后,给出了工程实例,结果与实际吻合。实践表明:该方法能以直观的方式表征、存储与利用领域专家在型式优化时的知识与策略,并克服了传统基于模糊逻辑与神经网络的型式优化系统的不足,是解决具有多目标、多层次及不确定信息的型式优化问题的有效方法。     

Approaching a large deviation theory for complex systems

Nonlinear Dynamics - Membership function identification is the basis for solving the fuzzy control problems. In order to complete the fuzzification process and reflect the dynamic quality of the...     

构件适用功能要求的模糊性及可靠度分析方法

设计标准中对构件适用功能的要求常具有一定的模糊性,结构可靠度分析中应考虑这种不确定性的影响.目前虽然利用模糊集合及其隶属函数,建立了功能要求模糊时构件可靠度的分析方法,但它们在作用概率组合、功能函数表达、模糊概率计算等方面仍存在一定的不足.为此,首先在作用概率组合中引入更为合理的随机过程组合方法,并采用便于反映设计中各...     

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。     

A stochastic model for parameter identification of adhesive materials

In practice, there are only a very limited number of experimental data available. Therefore, the prediction of material behaviour is difficult and a statistical analysis with a stochastic-based method is nearly impossible. In order to increase the number of tests based on experimental data, we apply the method of stochastic simulation based on time series analysis. The generated artificial data have the same stochastic behaviour as the experimental data. Advantages of artificial data are the arbitrary number of data available, and as a conclusion, the process of parameter identification can be statistically analysed. Here, we especially have experiments for adhesive materials for substantial tension tests performed at two different strain rates. Artificial data provide a stochastic proved analysis of the parameter identification concerning distribution and deviations. The analysis shows the possible range of the different material parameters and, therefore, gives a detailed view of the identification process.     

DYNAMIC CHARACTERISTIC ANALYSIS OF FUZZY- STOCHASTIC TRUSS STRUCTURES BASED ON FUZZY FACTOR METHOD AND RANDOM FACTOR METHOD

A new fuzzy stochastic finite element method based on the fuzzy factor method and random factor method is given and the analysis of structural dynamic characteristic for fuzzy stochastic truss structures is presented. Considering the fuzzy randomness of the structural physical parameters and geometric dimensions simultaneously, the structural stiffness and mass matrices are constructed based on the fuzzy factor method and random factor method; from the Rayleigh's quotient of structural vibration, the structural fuzzy random dynamic characteristic is obtained by means of the interval arithmetic; the fuzzy numeric characteristics of dynamic characteristic are then derived by using the random variable's moment function method and algebra synthesis method. Two examples are used to illustrate the validity and rationality of the method given. The advantage of this method is that the effect of the fuzzy randomness of one of the structural parameters on the fuzzy randomness of the dynamic characteristic can be reflected expediently and objectively.     

模糊—神经网络控制算法及其在离心力—振动复合环境试验系统中的应用

针对离心－振动复合环境试验系统所存在的耦合性、非线性和不确定性提出了一种模糊－神经网络控制算法,利用被控对象输入输出信息离线、在线相结合学习系统的动态特性,对时变、非线性系统进行跟踪控制,并研究了该算法在系统中的实现方法。实现表明了控制系统具有良好的跟踪能力。该算法也适用于快速变化这类系统的实时控制。     

Response analysis of fuzzy nonlinear dynamical systems

The transient and steady-state membership distribution functions (MDFs) of fuzzy response of a Duffing–Van der Pol oscillator with fuzzy uncertainty are studied by means of the fuzzy generalized cell mapping (FGCM) method. A rigorous mathematical foundation of the FGCM is established with a discrete representation of the fuzzy master equation for the possibility transition of continuous fuzzy processes. Fuzzy response is characterized by its topology in the state space and its possibility measure of MDFs. The evolutionary orientation of MDFs is in accordance with invariant manifolds toward invariant sets. In the evolutionary process of a steady-state fuzzy response with an increase of the intensity of fuzzy noise, a merging bifurcation is observed in a sudden change of MDFs from two sharp peaks of maximum possibility to one peak band around unstable manifolds.     

腐蚀管道的可靠度分析方法研究

对腐蚀管道的模糊可靠度计算方法进行了深入研究，提出了确定性可靠度和模糊可靠度两个基本概念；提出了基于断裂失效判据、基于FAD失效评估图和基于剩余强度3种方法计算模糊可靠度的方法；提出了3种新的方法计算确定性可靠度，即改进的JC法、GA—JC法和改进的Monte-Carlo法．以胜利油田某试验区已加入缓蚀剂的注水管道为例，采用本文建立的计算模糊可靠度的3种计算方法和确定性可靠度的3种方法，分别计算注水管道可靠度随着时间的变化趋势．在模糊可靠度的3种计算方法中，基于剩余强度失效方法比较适中，是计算模糊可靠度较好的方法；在确定性可靠度的3种计算方法中，改进的Monte-Carlo法较好．     

Fuzzy relaxed-finite step size method to enhance the instability of the fuzzy first-order reliability method using conjugate discrete map

Fuzzy reliability analysis can be implemented using two discrete optimization maps in the processes of reliability and fuzzy analysis. Actually, the efficiency and robustness of the iterative reliability methods are two main factors in the fuzzy-based reliability analysis due to the huge computational burdens and unstable results. In the structural fuzzy reliability analysis, the first-order reliability method (FORM) using discrete nonlinear map can provide a C membership function. In this paper, a discrete nonlinear conjugate map is proposed using a relaxed-finite step size method for fuzzy structural reliability analysis, namely Fuzzy conjugate relaxed-finite step size method fuzzy CRS. A discrete conjugate map is stabilized using two adaptive factors to compute the relaxed factor and step size in FORM. The framework of the proposed fuzzy structural reliability method is established using two linked iterative discrete maps as an outer loop, which constructs the membership function of the response using alpha level set optimization based on genetic operator, and the inner loop, implemented for reliability analysis using proposed conjugate relaxed-finite step size method. The fuzzy CRS and fuzzy HL-RF methods are compared to evaluate the membership functions of five structural problems with highly nonlinear limit state functions. Results demonstrated that the fuzzy CRS method is computationally more efficient and is strongly more robust than the HL-RF for fuzzy-based reliability analysis of the nonlinear structural reliability problems.     

Robust synchronization of uncertain fractional-order chaotic systems with time-varying delay

This paper presents a new technique using a recurrent non-singleton type-2 sequential fuzzy neural network (RNT2SFNN) for synchronization of the fractional-order chaotic systems with time-varying delay and uncertain dynamics. The consequent parameters of the proposed RNT2SFNN are learned based on the Lyapunov–Krasovskii stability analysis. The proposed control method is used to synchronize two non-identical and identical fractional-order chaotic systems, with time-varying delay. Also, to demonstrate the performance of the proposed control method, in the other practical applications, the proposed controller is applied to synchronize the master–slave bilateral teleoperation problem with time-varying delay. Simulation results show that the proposed control scenario results in good performance in the presence of external disturbance, unknown functions in the dynamics of the system and also time-varying delay in the control signal and the dynamics of system. Finally, the effectiveness of proposed RNT2SFNN is verified by a nonlinear identification problem and its performance is compared with other well-known neural networks.     

随机-模糊处理方法在岩石力学指标统计及岩组划分中的应用

探讨了随机 模糊处理方法在岩石力学指标统计和岩组定量划分中的应用。文中对计算中的隶属函数取值及迭代方式进行了深入讨论。通过计算结果的比较分析, 认为随机 模糊处理方法更符合实际, 并优于其他方法。最后作者提出了岩组定性划分 岩石样本参数的随机 模糊统计分析 岩组定量划分及参数重新统计的分析程序。