• Damage identification is a burgeoning subject in recent years.

    损伤识别近年来出现的一新兴学科

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  • A new damage identification method is proposed for testing bridge structures.

    提出一种新的桥梁损伤检测方法

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  • Curvature mode is an excellent parameter in damage identification of structures.

    曲率模态结构损伤识别很好的应用。

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  • The damage identification method is discussed from the structural testing viewpoint.

    结构测试角度论述了结构损伤诊断方法

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  • So it poses a practicable research method for structure damage identification in future.

    今后桥梁结构损伤识别提供了一种可行研究方法

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  • Moving mass method is a practical structural damage identification method with much prospect.

    移动质量法一种前景结构损伤识别实用方法

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  • A numerical study for vibration based lattice truss structural damage identification was presented.

    研究基于振动特性点阵桁架夹心损伤识别

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  • An improved method for structural damage identification based on residual force vector is presented.

    提出了一种改进残余向量用于工程结构损伤识别

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  • A method for bridge damage identification based on the sensitivity matrix theory was mainly studied.

    重点研究一种基于灵敏度矩阵桥梁进行损伤识别方法

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  • Development of health monitoring system becomes an important task for structure damage identification.

    开发结构健康监测系统结构损伤识别一个重要课题

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  • The results show that the NN and GA can be used in structural damage identification system effectively.

    结果表明神经网络遗传算法用于结构损伤识别有效的、可行的。

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  • The authors presented a structural damage identification method based on generalized flexibility matrix.

    提出一种基于广义柔度矩阵结构损伤识别方法

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  • 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一个重要课题

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  • Firstly, the damage identification method based on vibration modal analysis theory is discussed and analyzed.

    首先本文对基于振动模态分析理论损伤识别方法进行了探讨。

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  • Therefore, the derrick damage identification method based on principal component analysis and FRF is put forward.

    为此提出基于分析法FRF井架损伤识别方法

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  • The method of damage identification with modal index and the artificial neural networks is introduced in this paper.

    介绍使用指标神经网络进行结构损伤识别方法

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  • The development of structural damage identification is an important theme in the structural safety monitoring system.

    结构损伤识别开发结构安全监测系统中的一个重要课题

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  • Presently, the applications of ANNs to structural damage identification problems have attracted increasing attention.

    目前人工神经网络应用结构损伤识别的研究已越来越受到关注。

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  • Development of structural damage identification becomes an important theme for structural safety monitoring technology.

    结构损伤识别开发结构安全监测系统中的一个重要课题

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  • Vibration_based damage identification is one of the few methods that detect changes in the structure on a global basis.

    基于振动损伤识别方法少有的几种全局损伤检测方法之一

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  • Based on the directly analytical method for structural damage identification, the nonlinear analytical method was presented.

    本文直接解析基础进一步提出结构损伤识别非线性解析法。

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  • A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.

    为了有效地进行结构的损伤识别,提出了一种基于支持向量粒子算法的结构损伤识别方法

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  • Structural damage identification based on the residual error calculated by using acceleration data in time domain is studied here.

    研究了基于加速度时域信息构造残差量的结构损伤识别方法

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  • On the basis of the flexibility projection method, the method of damage identification using the measured flexibility was proposed.

    投影基础上,建立了基于观测柔度阵结构损伤识别方法。

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  • Therefore, the research of damage identification for guyed masts is critical to improve the safety of lifeline engineering structures.

    因此桅杆结构损伤识别与检测方法研究提高重要生命线工程结构的安全性具有重要意义。

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  • This paper introduces the support vector classification and regression algorithms, which are applied to the structure damage identification.

    介绍支持向量机分类回归算法,将应用于梁结构的损伤诊断中。

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  • A damage identification approach applied aptly in Bridges and continuous beams, based on the curvature mode shapes, was studied in this paper.

    研究适用桥梁连续梁结构基于曲率模态型的损伤识别方法

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  • Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.

    然后利用BP神经网络模式分类功能,进行螺栓松动程度损伤识别研究。

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  • Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.

    然后利用BP神经网络模式分类功能,进行螺栓松动程度损伤识别研究。

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