曲率模态在结构损伤识别中有很好的应用。
Curvature mode is an excellent parameter in damage identification of structures.
损伤指标的敏感性对结构损伤识别有着重要价值。
The sensitivity of damage feature would be of great value to structural damage detection.
为今后桥梁结构损伤识别提供了一种可行的研究方法。
So it poses a practicable research method for structure damage identification in future.
移动质量法是一种极有前景的结构损伤识别实用方法。
Moving mass method is a practical structural damage identification method with much prospect.
提出以第一阶振型改变率作为结构损伤识别的标识量。
Hereby, the change ratio of the first order mode shape is presented as the indicator for structure damage detection.
提出了一种改进的残余力向量法用于工程结构损伤识别。
An improved method for structural damage identification based on residual force vector is presented.
开发结构健康监测系统是结构损伤识别的一个重要课题。
Development of health monitoring system has become an important task for structure damage identification.
开发结构健康监测系统是结构损伤识别的一个重要课题。
Development of health monitoring system becomes an important task for structure damage identification.
结构损伤识别是桥梁结构健康监测系统的重要组成部分。
Thereby, it is of great significance in theory and practice to perform health monitoring for bridge structures.
结构损伤识别是开发结构安全监测系统中的一个重要课题。
The development of structural damage identification is an important theme in the structural safety monitoring system.
结构损伤识别是开发结构安全监测系统中的一个重要课题。
Development of structural damage identification becomes an important theme for structural safety monitoring technology.
本文提出了结构损伤识别中的传感器测点优化配置的方法。
A method of optimizing sensor locations for damage identification in a structure using the collected information is presented in this paper.
介绍了使用模态指标及神经网络进行结构损伤识别的方法。
The method of damage identification with modal index and the artificial neural networks is introduced in this paper.
目前人工神经网络应用于结构损伤识别的研究已越来越受到关注。
Presently, the applications of ANNs to structural damage identification problems have attracted increasing attention.
结构损伤识别作为健康监测的核心内容之一，是近年来的研究热点。
As one of important contents in health monitoring, structural damage identification is a hot research topic in recent years.
结果表明，将神经网络和遗传算法用于结构损伤识别是有效的、可行的。
The results show that the NN and GA can be used in structural damage identification system effectively.
本文在直接解析法的基础上，进一步提出结构损伤识别的非线性解析法。
Based on the directly analytical method for structural damage identification, the nonlinear analytical method was presented.
该方法利用测试数据时程直接进行结构损伤识别，并可反演出地震动时程。
Based on the proposed method, the structural damage can be directly identified from structure response and the seismic history can be obtained simultaneously.
面向结构损伤识别，描述了多尺度动力方程能获得更丰富的结构参数变化信息。
For structural damage identification, it was described that the multi-scale dynamic equation can support more information of structural parameter variety than normal single dynamic equation.
在结构损伤识别的时域法研究中，数值积分的误差将直接影响反演参数结果的精度。
In study on structure damage identification in time domain, error of numerical integral will affect directly accuracy of parameters resulted from reversion.
最后通过一简支试验梁的损伤数值模拟，提出了适用于结构损伤识别的网络训练方法。
In the end, the neural networks training methods, which are proper to apply in the diagnosis the structural damage, are proposed through numerical simulation of damage in a simple experimental beam.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
The structural damage recognition has been analyzed with mode identification method and the method for extracting the wavelet package signal energy eigenvalue has been analyzed.
模型误差、量测噪声及量测数据不完整等因素是制约结构损伤识别技术应用的主要难点。
Some factors, such as modeling error, measured noises, incomplete measured data, are main difficulties for many structural damage processes being utilized.
通过一个悬臂弯剪型结构损伤识别的数值模拟表明，只需低阶模态参数就可有效地识别结构损伤。
It is indicated by a numerical simulation of the cantilever flexible-shear structural damage identification that only low-order modal parameters are needed to identify effectively a structural damage.
通过一个悬臂弯剪型结构损伤识别的数值模拟表明，只需低阶模态参数就可有效地识别结构损伤。
It is indicated by a numerical simulation of the cantilever flexible shear structural damage identification that only low order modal parameters are needed to identify effectively a structural d...
结构损伤识别技术是结构健康监测研究的关键问题之一，神经网络技术是解决这一问题的有效工具。
Damage identification technique is one of the key issues for structural health monitoring research. The technology of artificial neural networks is an available tool to solve the issues.
鉴于该方法只能识别梁中的单处损伤，提出了结合移动质量法和神经网络进行结构损伤识别的方法。
As the method can only detect single damage in beam, this paper proposes the method of combining moving mass method and neural network to detect structural damage.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标。
The wavelet package signal component energy eigenvector was used as the damage index property of structural damage recognition according to the multiresolution trait of wavelet package.
本文对残余能量和单元残余能量进行了灵敏度分析，并将其用于结构损伤识别，得到了一些有益的结论。
This paper analyzes the sensitivity of the residual energy and the element residual energy, and their applications to structural damage identification. Some useful conclusions are made.
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