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1.
土的结构性损伤与损伤模型问题探讨   总被引:3,自引:0,他引:3  
阐述土的结构性变化与损伤的关系,指出软粘土的结构性损伤包括应力损伤和扰动损伤,并在e-log曲线上探讨峰值损伤应力的合理取值和扰动损伤的定量评价。介绍复合体损伤模型,基于软粘土结构性损伤的含义。重点引荐修正损伤变量演化函数式(5a),并从复合体概念出发,对损伤参数的合理确定提出了探讨意见与建议。  相似文献   

2.
一种利用时间序列分析的特征提取与损伤预警方法   总被引:1,自引:0,他引:1  
针对结构健康监测中如何基于在线监测数据实现损伤诊断的问题,提出了一种利用时间序列分析ARMA模型的特征提取和损伤预警方法.首先对所有监测数据样本建立ARMA模型,以模型中AR部分参数的主成分矩阵构建Mahalanobis距离判别函数,提出了一种新的结构损伤敏感指标DDSF.然后,采用t-检验考察该指标在损伤前后是否存在显著性变化,从而可以有效地实现结构损伤预警.三跨连续梁数值算例表明,提出的结构损伤特征指标对结构的微小损伤具有敏感性,具备结构在线实时损伤预警的应用价值.  相似文献   

3.
支持向量机是一种基于统计学习理论和结构风险最小化原则的新型机器学习算法。介绍了支持向量机分类概率估计和回归估计,构造基于模态频率的损伤指标标识量,根据分类概率估计与回归算法计算结构损伤位置及程度。通过简支梁仿真算例,验证了该方法的有效性。  相似文献   

4.
基于信息融合技术的结构损伤诊断方法   总被引:1,自引:0,他引:1  
为提高结构损伤识别的准确率,将多源信息融合技术引入到结构损伤诊断中.在介绍多源信息融合技术的基本理论、功能模型、级别分类和数学方法的基础上,将2种或多种结构损伤识别方法提取的损伤特征向量进行特征级融合,建立了基于信息融合的结构损伤诊断方法.在钢筋混凝土板损伤试验中测试其模态信息,利用基于信息融合的结构损伤诊断方法进行裂缝位置识别,并与单独使用模态应变能法和柔度法进行损伤识别的结果进行对比.结果显示基于特征级信息融合的结构损伤诊断方法能够准确识别单一损伤识别方法无法识别的结构损伤,对于多位置损伤识别亦有效果.基于信息融合的结构损伤诊断方法具有良好的损伤敏感性.不同的信息融合算法有不同的适用范围,在实际结构健康监测中,要通过详细分析选择合适的多源信息融合算法.  相似文献   

5.
用矢量法解决中学数学问题,常常可以收到化繁为简,化难为易的效果.文章从四个方面探讨了用矢量解决中学数学问题的方法,说明了矢量作为运算工具应用的广泛性和优越性.  相似文献   

6.
The functional piezoelectric ceramic smart aggregate(SA) sensors and actuators,based on piezoelectric ceramic materials such as lead zirconium titanate(PZT),were embedded into the reinforced concrete beams with three-point bending under static loading for purposes of damage detection.The SA actuators generated the desired sine sweep excitation signals online and the SA sensors received and detected real-time signals before and after damage.The wavelet analysis and statistical characteristics about damage signals were used as a signal processing and analysis tool to extract the optimal damage information and establish a statistical damage detection algorithm.The damage index-based wavelet analysis and damage probability-based probability and statistics were proposed by PZT wavebased theory and active health monitoring technology.The results showed that the existence of cracks inside largely attenuated the amplitude of active monitoring signal after the damage of beam and the attenuation was related to the severity degree of damage.The innovative statistical algorithm of damage pattern detection based PZT-SA can effectively determine damage probability and damage degree,and provide a prediction for the critical damage location of reinforced concrete structures.The developed method can be utilized for the structural health comprehensive monitoring and damage detection on line of various large-scale concrete structures.  相似文献   

7.
结合支持向量机和神经网络各自的优点,提出了一种新颖的自适应支持向量回归神经网络(SVR-NN).首先,利用支持向量回归方法确定SVR-NN的初始结构和初始化权值,基于支持向量自适应地构造SVR-NN神经网络的隐层节点;然后,使用退火过程的鲁棒学习算法更新网络节点参数和权值.为了验证所提出方法的有效性,给出了自适应SVR-NN应用于非线性动态系统辨识的实例.仿真结果表明,与以前的神经网络方法相比,基于SVR-NN网络的辨识方案能获得相当好的性能,它具有很快的收敛速度.因此,自适应的SVR-NN为非线性系统辨识提供了极有吸引力的新途径.  相似文献   

8.
A three-step damage identification method based on dynamic characteristics is proposed to improve the structure reliability and security and avoid serious accident. In the proposed method, the frequency and difference of modal curvature (DMC) are used as damage indexes. Firstly, the detection of the occurrence of damage is addressed by the frequency or the square of frequency change. Then the damage location inside the structure is measured by the DMC. Finally, with the stiffness reduction rate as a damage factor, the amount of damage is estimated by the optimization algorithm. The three-step damage identification method has been validated by conducting the simulation on a cantilever beam and the shaking table test on a submerged bridge. The results show that the method proposed in this paper can effectively solve the damage identification problem in theory and engineering practice.  相似文献   

9.
Protein-protein interactions play a crucial role in the cellular process such as metabolic pathways and immunological recognition. This paper presents a new domain score-based support vector machine (SVM) to infer protein interactions, which can be used not only to explore all possible domain interactions by the kernel method, but also to reflect the evolutionary conservation of domains in proteins by using the domain scores of proteins. The experimental result on the Saccharomyces cerevisiae dataset demonstrates that this approach can predict protein-protein interactions with higher performances compared to the existing approaches.  相似文献   

10.
基于支持向量机的语音情感识别   总被引:6,自引:0,他引:6  
针对语音情感识别特征识别问题,本利用支持向量机进行了研究.分析表明语音信号的情感特征参数在输入空间中不完全是一个线性分类的问题,使用非线性的核函数对输入空间进行映射可以有效地提高识别效率.与已有的多模式语音情感识别方式相比,利用高斯(径向基)核函数的支持向量机的识别效果优于其他已有的方法.  相似文献   

11.
作为数学工具的向量有着广泛的应用,本文就初等代数方面,给出了如何利用向量的线性运算、向量三角不等式、向量数量积、向量向量积和向量混合积等解决问题,方法简明规范,且有利于培养学生的创造性思维能力。  相似文献   

12.
考虑到基于2范数的正则化算法存在对结构识别结果过度光滑的效果,提出了基于模态振与L1正则化的损伤识别方法。以—2D简支梁有限元模型为数值算例,比较了使用不同振型数不同损伤程度对损伤识别效果的影响。数值模拟结果表明,对于多损伤工况,当损伤结构的振型数和无损结构的振型数乘积数大于6时,能较好地进行损伤定位,并能对损伤程度给出定性的描述。  相似文献   

13.
基于小波包分析的大跨桥梁结构损伤预警的理论研究   总被引:6,自引:0,他引:6  
基于小波包分析推导了结构动力系统在不同分析尺度上的状态方程和观测方程,在此基础上研究了结构动力响应在不同分析尺度上的时-频特性.理论分析证明,采用小波包分解结构的动力响应得到小波包能量谱,将可以表征结构损伤的发生.在此基础上进行了小波包能量谱关于结构损伤和观测噪声的敏感性研究,分析了结构系统矩阵和测量噪声在各个分析尺度上的递推性.结果表明,采用结构动力响应的小波包能量谱进行结构损伤预警具有较好的损伤敏感性和噪声鲁棒性.  相似文献   

14.
This paper establishes a 3D numerical model for 15# hydropower house of the Three Gorges Project (TGP) and performs a nonlinear static and dynamic damage analysis. In this numerical model, a coupling model of finite and infinite elements for simulating infinite foundation of hydropower station is adopted. A plastic-damage model based on continuum damage mechanics, which includes the softening and damage behavior under tension is considered for the concrete material. The dynamic equilibrium equations of motion are solved by using the HilberHughes-Taylor (HHT) time integration method. Firstly, the static damage response analysis of the hydropower station is conducted due to high tensile stress resulting from large water head and diameter of an inlet pipe. Then, on the basis of static simulation, the dynamic damage analysis of hydropower house subjected to earthquake motion is simulated. Numerical results show that under large water head and diameter of an inlet pipe of the project, the damages are mainly located near the top of the spiral case from the inlet section to the 0° section; under combined loadings of static loads and earthquake, the damages of the concrete surrounding the spiral case increase insignificantly; however, some damages occur on the side walls of the main powerhouse.  相似文献   

15.
The effect of measurement errors on structural damage identification using artificial neural networks (ANN) was investigated in this study. By using back-propagation (BP) networks with proper input vectors, numerical simulation tests for damage detection on a six-storey frame were conducted with measurement errors in deterministic as well as probabilistic senses. The identifiability using ANN for damage location and extent was studied for the cases of measurement errors with different degrees. The results showed that there exists a critical level of measurement error beyond which the probability of correct identification is sharply decreased. The identifiability using the neural networks in the presence of modeling and measurement errors is finally verified using experimental data on a two-storey steel frame. Project supported by Hong Kong Polytechnic University.  相似文献   

16.
Synthesis of Petri net supervisors enforcing general constraints   总被引:3,自引:0,他引:3  
INTRODUCTION Petri net (PN) (Murata, 1989) is a powerful tool due to its graphical and algebraic representation abil- ity, especially when applied in the Discrete Event System (DES). As supervisor synthesis is an essential issue in DES, efficient methods (Giua et al., 1992; Giua and Dicesare, 1994; Holloway and Krogh, 1990; Li and Wonham, 1994; Yamalidou and Moody, 1996) have been proposed for the design of supervisory controller enforcing the marking terms μ of a Petri net satis…  相似文献   

17.
INTRODUCTION Structural damage detection technique addresses the problem of how to locate and detect damage that occurred in a structure by using the observed changes of its dynamic and static characteristics. In recent years, damage assessment of structure has drawn wide attention from various engineering fields. Gen-erally, the existing approaches proposed in this area can be clarified into two major categories: the dy-namic identification methods using dynamic test data and the static …  相似文献   

18.
使用基于统计学习理论的支持向量机(SVM)方法,提出了针对重组热点和冷点分类预测的新方法.对酵母基因组的303个重组热点开放阅读框(hot ORF)以及48个重组冷点开放阅读框(cold ORF),提取了序列的一般二联碱基丰度特征,以及基于密码子使用偏性的二联碱基丰度特征,然后使用二倍交叉验证方法,选择不同的核函数和对应参数,对数据集进行了训练和分类预测.研究结果表明,当使用径向基核函数,并采用基于密码子使用偏性的二联碱基丰度特征时,预测准确率为87·47%.  相似文献   

19.
从损伤的粘弹性材料的卷积型本构关系出发,建立了在小变形下损伤粘弹性梁-柱的控制方程,提出了以卷积形式表示的损伤粘弹性梁-柱弯曲问题的泛函,并给出了损伤粘弹性梁-柱的广义变分原理.应用这个广义变分原理,可分别给出梁-柱位移和损伤满足的基本方程,以及相应的初始条件和边界条件.  相似文献   

20.
为了解决直升机动部件疲劳损伤类型识别问题,提出了一种基于谐波小波包特征提取和层次支持向量多分类器的声发射源类型识别方法.声发射信号经过4层谐波小波包分解后,提取各个频段的能量特征用于声发射源类型识别,克服了传统小波包分析能量泄露、频带选取不灵活、不同层频率分辨率不同的缺点.首先,利用已知声发射源类型的试验数据训练层次支...  相似文献   

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