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损伤识别指标     
相关语句
  damage identification signature
     Because strain mode is very sensitive to local damage in the structure, it is an ideal damage identification signature to diagnose minute damage.
     应变模态对结构局部损伤的反应敏感,是对结构进行微小损伤诊断的较理想的损伤识别指标
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  “损伤识别指标”译为未确定词的双语例句
     Flexibility curvature rate method based on structure flexibility matrix is presented,which identificates the damages through the rates which curvatures of principal diagonal elements of flexibility matrix margin after damaging are divided by the ones of flexibility matrix before damaging.
     提出了基于结构柔度矩阵的柔度曲率比法,该方法利用结构损伤前后的柔度矩阵差的主对角元素,计算结构的柔度曲率,并取与利用结构损伤前柔度矩阵主对角元素计算所得的柔度曲率的比值,即柔度曲率比,作为损伤识别指标,进行损伤识别.
短句来源
     Moreover,the influences of the model error to the kind of damage index were discussed.
     文中还分析模型误差对无量纲固有频率类损伤识别指标的影响规律。
短句来源
     The Index Method on Structural Damage Identification and Its Implementation
     结构损伤识别指标法及其实现
短句来源
     In addition, modal based detection and testing techniques, and damage types are well summarized and categorized. In the third chapter, damage identification theories using modal data, flexibility matrix, residual force vector, and frequency response function are presented, incorporating three novelty indicators (MAC_sfrf COMAC_sfrf, and Strain Frequency Response Function Curvature Ratio).
     第三章着重对基于振动频率、模态振型、模态应变能、柔度矩阵、残余力向量、振动频响函数的参数等损伤识别指标的理论方法进行了论述,并提出了三个基于结构应变频响函数的识别指标MAC_(sfrf)、COMAC_(sfrf)以及SFRF曲率比方法。
短句来源
     The damage identification method based on damage identification index constructed by the modal parameters provides an approach for identifying the damage of structure but only evaluates qualitatively the location and extent of damage.
     用模态参数构造损伤识别指标的损伤识别方法是结构损伤诊断的一条途径,但是只能对结构损伤的位置和程度做出定性的评估。
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  相似匹配句对
     Damage detection of bridges
     桥梁的损伤识别
短句来源
     Damage detection of suspension bridges
     悬索桥的损伤识别
短句来源
     The Index Method on Structural Damage Identification and Its Implementation
     结构损伤识别指标法及其实现
短句来源
     Structural damage identification research based on location index and extent index
     基于位置和程度指标的结构损伤识别研究
短句来源
     index;
     指标;
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The vibration signal of the rolling bearing in motors is processed by fast Fourier transformation and auto power spectrum estimation, then the natural frequencies of the rolling bearing can be obtained and are used for diagnosing faults of it through neural network training period and identification period by using back propagation feed forward multilayer neural networks. The result of the test to a real rolling bearing in electrical machine shows the feasibility and effectiveness and effectively practical...

The vibration signal of the rolling bearing in motors is processed by fast Fourier transformation and auto power spectrum estimation, then the natural frequencies of the rolling bearing can be obtained and are used for diagnosing faults of it through neural network training period and identification period by using back propagation feed forward multilayer neural networks. The result of the test to a real rolling bearing in electrical machine shows the feasibility and effectiveness and effectively practical values for engineering application of the method. And it is clearly seen that the frequency signature is more sensitive for damage detection than other signatures, and the fault diagnosing precisions improved are all higher than 11% by using this signature.

电机滚动轴承的时域振动信号经过快速傅里叶变换和自功率谱处理后,可以获得电机滚动轴承振动的固有频率,然后运用该频率指标,利用多层反向传播前馈型神经网络,通过神经网络的学习和推广两个阶段,可以实现对轴承故障的自动分类诊断。对一电机滚动轴承的实验表明,该方法行之有效,对工程应用具有较高的实用价值。与其它损伤识别指标相比,诊断精度相对提高率均大于11%,说明频率指标对结构的损伤具有更高的灵敏度。

The displacement mode parameters and strain mode parameters are combined withneural networks techniques on the studies of damage detection of structures.In order to obtainmore sensitive signatures for structural damage detection, after considering the analysis ofcurrent signatures, six kinds of signatures for damage detection are studied and the sensitivity todamages is compared. The results show that six kinds of signatures can all be used to predict thestructural damage. It is also clearly seen that damage...

The displacement mode parameters and strain mode parameters are combined withneural networks techniques on the studies of damage detection of structures.In order to obtainmore sensitive signatures for structural damage detection, after considering the analysis ofcurrent signatures, six kinds of signatures for damage detection are studied and the sensitivity todamages is compared. The results show that six kinds of signatures can all be used to predict thestructural damage. It is also clearly seen that damage signatures based on strain data are generallymore sensitive to damage than that on displacement data.

利用结构位移模态试验和应变模态试验参数和神经网络方法对结构损伤定位和定量辨识问题进行了研究。为获得对结构损伤更加敏感的结构损伤识别指标,在分析现有识别指标的基础上,提出了用于神经网络方法的六种基于结构模态试验参数的损伤识别指标,并对它们进行了实例识别和比较研究。它们均能对结构的损伤进行预报,其中应变类型的损伤识别指标对结构损伤的敏感度比位移类型的损伤识别指标高。

This paper studies a new approach of strain mode for damage detection of bridges. The strain status has direct relationship with the stiffness status of a girder structure. Damage could be detected from strain information of bridges. The curvature mode of girders is relating with the strain mode. Numerical simulation was carried out on a real bridge, demonstrating the sensitivity of strain mode for damage detect. A new index D, the abruptness of stress change, was proposed for more convenient detection...

This paper studies a new approach of strain mode for damage detection of bridges. The strain status has direct relationship with the stiffness status of a girder structure. Damage could be detected from strain information of bridges. The curvature mode of girders is relating with the strain mode. Numerical simulation was carried out on a real bridge, demonstrating the sensitivity of strain mode for damage detect. A new index D, the abruptness of stress change, was proposed for more convenient detection of damage. A low frequency vibration transducer (type DP) is recommended for measuring the strain due to its high sensitivity and uniformity.

由于梁式结构的应变状况与其刚度有直接关系 ,因此对应变模态的测量可望用于桥梁损伤识别。梁的曲率模态和应变模态是直接关联的。通过对实桥标准简支梁损伤的数值仿真 ,揭示了曲率模态对桥梁损伤的敏感性。为便于检测损伤 ,还提出了一个新的损伤识别指标—应力变化陡峭度D,并推荐一种具有高灵敏度和高一致性的 DP型低频振动传感器作为实桥应变模态测量的信号检测设备

 
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