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identification of structural damage
相关语句
  结构损伤识别
     IDENTIFICATION OF STRUCTURAL DAMAGE AND TEST STUDY BASED ON WAVELET TRANSFORM
     基于小波变换的结构损伤识别与试验分析
短句来源
     With the merits of its strong nonlinear mapping ability, rapid computation and anti-interference capability, artificial neural network, which is used in the identification of structural damage based on vibration, becoming more popularly. However, for large scale complicated structures, the network structure is usually complicated and identification efficiency is low.
     神经网络方法因其具有非线性映射能力强、计算速度快、容错性好等优点,正越来越多的用于基于振动的结构损伤识别,但是对于大型复杂结构,普遍存在网络结构复杂,识别效率低下的问题。
短句来源
     With the merits of its strong nonlinear mapping ability, anti-interference capability and rapid computation, artificial neural network, which is used in the identification of structural damage based on vibration, becoming more popularly. However, for large scale complicated structures, the network structure is usually complicated and identification efficiency is low.
     神经网络方法因其具有非线性映射能力强、计算速度快、容错性好等优点,正越来越多的用于基于振动的结构损伤识别,但是对于大型复杂结构,普遍存在网络结构复杂,识别效率低下的问题。
短句来源
     (3) The method of identification of structural damage based on ANN is an effective measurement to identify the structural damage, which can be widely used in practical engineering.
     (3)基于人工神经网络技术的结构损伤识别方法是大型土木工程结构损伤识别的有效方法,可在工程结构损伤识别中广泛应用。
短句来源
  进行结构的损伤识别
     Identification of Structural Damage by Neural Network ART2
     用ART2神经网络方法进行结构的损伤识别
短句来源
  “identification of structural damage”译为未确定词的双语例句
     Self-Adaptive Neural Networks Identification of Structural Damage Based on Frequency Drop Rate
     基于频率下降率的结构损伤自适应神经网络识别
短句来源
     Identification of structural damage is always a topic in structural engineering domain.
     建筑结构的损伤识别一直是人们广泛关注的问题。
短句来源
     So the detection and identification of structural damage, and servicing technique and measure based on it are vital to ensure structure security, lessen loss and prolong structural lifetime during the structural working and using period.
     因此在结构工作和使用期间,如何及早准确地检测出损伤,同时对损伤的位置及程度进行判定,并能够由此提出维修的方法和措施等,对于保证结构的安全,减少损失,延长结构的使用期限等具有重要的意义。
短句来源
     (4) The identification of structural damage by figure CWD and time-frequency analysis are made based on MATLAB. Results show that JTFA methods can describe clearly how the spectral content varies with time.
     (4)对结构非线性分析得到关键部位的速度、加速度和位移,运用MATLAB信号处理技术对信号进行时频分析,并运用CWD图对结构进行损伤识别。
短句来源
     It is, therefore, natural to use the measured changes in dynamic behavior for the identification of structural damage.
     因此,通过测量结构动态特性的变化来进行结构损伤的辨识是自然而然的。
短句来源
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     identification;
     鉴定 ;
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     承运人识别的法律问题
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     Modeling and Identification
     建模与辨识
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     Identification of the Rosewoods
     红木识别
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     STRUCTURAL IDENTIFICATION OF PENTANITROMONOFORMYLHEXAAZAISOWURTZITANE
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短句来源
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  identification of structural damage
The identification of structural damage can be characterized as a nonlinear process which linear prediction models such as linear regression are not suitable.
      
Many of these applications deal with the identification of structural damage based on vibration data that is acquired on a mechanical system.
      


In the system identification of structural damage, damage is usually expressed in terms of a reduction in the structural parameters. However, due to the errors in modeling and measurements, not all reductions in the structural parameters indicate damage. In the distinguish analysis method proposed in this paper for isolating the damage locations, every possible damage state is defined as a random collective entity. The distance between each of these collective entities...

In the system identification of structural damage, damage is usually expressed in terms of a reduction in the structural parameters. However, due to the errors in modeling and measurements, not all reductions in the structural parameters indicate damage. In the distinguish analysis method proposed in this paper for isolating the damage locations, every possible damage state is defined as a random collective entity. The distance between each of these collective entities and a given sample is calculated and compared, and that nearest to the sample is used for identifying the damage region. Trial examples of using this method show that subjective influences in determining the number of damage elements can be avoided and the risk of eventual misjudgment is substantially reduced. The method proposed in this paper for assessing the degree of damage under conditional distributions makes use not only the message imparted in the average value of changes in parameters, but also the message in the covariance matrix of changes in parameters, hence, it can achieve better identification accuracy.

在结构损伤的系统识别中 ,损伤是用结构参数的减小来反映的 .由于存在模型误差和测试误差 ,并不是所有的参数值减小代表损伤 .本文提出的损伤区域的判别分析法将每一个可能的损伤状态定义为一个随机总体 ,通过比较样品到每一个总体的距离来确定样品与哪个总体最靠近 ,进而对损伤区域作出判断 .算例表明 ,这一方法可以避免确定损伤单元数时的主观判断 ,减小误判的风险 .本文提出的条件分布下损伤程度估计方法不仅利用参数变化量的均值信息 ,还利用它的协差阵信息 ,因而具有更高的识别精度 .

In this paper, the research on identification of structural damage to large cable-stayed bridges is performed using Artificial Neural Networks (ANN). At first, based on the review of the present status and future development of the identification of structural damage and the ANN technology, a method of substructural damage identification is established using the self-organizing competitive neural network, and the numerical simulation for the damage identification of a large...

In this paper, the research on identification of structural damage to large cable-stayed bridges is performed using Artificial Neural Networks (ANN). At first, based on the review of the present status and future development of the identification of structural damage and the ANN technology, a method of substructural damage identification is established using the self-organizing competitive neural network, and the numerical simulation for the damage identification of a large cable-stayed bridge is carried out. Then, the identification for damage position and damage level is investigated using the BP network and the process of damage identification of the large cable-stayed bridge is numerically simulated again. Finally, some conclusions are drawn as; (1) The substructural damage identification based on the self-organizing competitive neural network is able to identify the structural damage rapidly and accurately. (2) The structural damage identification based on BP network is able to further identify the position and level of damage in the damaged substructure. (3) The method of identification of structural damage based on ANN is an effective measurement to identify the structural damage, which can be widely used in practical engineering.

本文应用人工神经网络技术对大型斜拉桥结构进行了子结构损伤识别研究。文中首先介绍了子结构损伤识别的基本方法,然后应用自组织竞争神经网络建立了对于大型桥梁结构识别子结构损伤情况的子结构损伤识别方法,并且应用BP网络进一步建立了大型桥梁结构各子结构内部的损伤位置和损伤程度的识别方法,数值模拟了一大跨度斜拉桥子结构损伤以及子结构内部损伤的识别过程,最后得出结论:(1)基于自组织竞争网络的子结构损伤识别方法能迅速准确地识别大型结构的损伤情况;(2)基于BP网络所建立的结构损伤识别方法,能对子结构中结构损伤的位置和程度进行进一步的识别;(3)基于人工神经网络技术的结构损伤识别方法是大型土木工程结构损伤识别的有效方法,可在工程结构损伤识别中广泛应用。

The identification of structural damage and the test study based on the wavelet transform are made in the paper. It is found that the structure signal in different frequency domain can be analyzed in the time-frequency domain. The damage location is confirmed; it is monitored on-line by using the wavelet transform. As can be realized it is the characteristic of multi-resolution based on the wavelet transform. A model of three-story RC frame is made and tested on a shaking table. It is confirmed that...

The identification of structural damage and the test study based on the wavelet transform are made in the paper. It is found that the structure signal in different frequency domain can be analyzed in the time-frequency domain. The damage location is confirmed; it is monitored on-line by using the wavelet transform. As can be realized it is the characteristic of multi-resolution based on the wavelet transform. A model of three-story RC frame is made and tested on a shaking table. It is confirmed that the wavelet transform is feasible.

钢筋混凝土结构在中等以上地震作用下将产生损伤,结构动力特性随之变化。通过对结构微幅振动信号的Fourier分析,可以判断结构是否产生损伤,但是不能确定损伤位置。本文将结构振动信号置于不同频段进行时-频分析,利用小波变换的多分辨率特点对结构损伤进行在线检测,确定损伤位置。通过钢筋混凝土框架的振动台试验,将模型地震反应信号按不同频段分解,提取各频段的损伤信号特征。对于试件模型而言,如果某处出现开裂,即产生损伤,表现在响应信号上为一瞬态分量,通过信号小波变换的尺度函数可以判断结构某层是否损伤。该方法克服了Fourier变换不能反映结构振动信号局部特性的缺点,试验表明本文所采用的方法是可行的。

 
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