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DAMAGE DETECTION IN BUILDINGS USING A TWO-STAGE SENSITIVITY-BASED METHOD FROM MODAL TEST DATA
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作者 ZhuHongping ChenXiaozhen ChenChuanyao 《Acta Mechanica Solida Sinica》 SCIE EI 2005年第2期150-156,共7页
Many multi-story or highrise buildings consisting of a number of identical stories are usually considered as periodic spring-mass systems. The general expressions of natural frequencies, mode shapes, slopes and curvat... Many multi-story or highrise buildings consisting of a number of identical stories are usually considered as periodic spring-mass systems. The general expressions of natural frequencies, mode shapes, slopes and curvatures of mode shapes of the periodic spring-mass system by utilizing the periodic structure theory are derived in this paper. The sensitivities of these mode parameters with respect to structural damages, which do not depend on the physical parameters of the original structures, are obtained. Based on the sensitivity analysis of these mode parameters, a two-stage method is proposed to localize and quantify damages of multi-story or highrise buildings. The slopes and curvatures of mode shapes, which are highly sensitive to local damages, are used to localize the damages. Subsequently, the limited measured natural frequencies, which have a better accuracy than the other mode parameters, are used to quantify the extent of damages within the potential damaged locations. The experimental results of a 3-story experimental building demonstrate that the single or multiple damages of buildings, either slight or severe, can be correctly localized by using only the slope or curvature of mode shape in one of the lower modes, in which the change of natural frequency is the largest, and can be accurately quantified by the limited measured natural frequencies with noise pollution. 展开更多
关键词 damage localization damage quantification sensitivity modal test data
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基于曲率模态信息熵和BP神经网络的简支梁损伤识别方法 被引量:5
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作者 项长生 原子 +1 位作者 周宇 李凌云 《沈阳工业大学学报》 CAS 北大核心 2022年第5期575-583,共9页
针对曲率模态指标存在的对振型节点附近损伤不敏感、需要较密集测点等缺陷,在曲率模态的基础上引入广义局部信息熵,推导了广义局部曲率模态信息熵的公式,建立了相应的损伤指标并针对高阶振型的特点对指标进行改进.提取并处理简支梁损伤... 针对曲率模态指标存在的对振型节点附近损伤不敏感、需要较密集测点等缺陷,在曲率模态的基础上引入广义局部信息熵,推导了广义局部曲率模态信息熵的公式,建立了相应的损伤指标并针对高阶振型的特点对指标进行改进.提取并处理简支梁损伤模型的动力参数,将曲率模态和广义局部曲率模态信息熵分别作为神经网络的输入参数,对损伤进行识别并对比了两种参数的识别结果,研究了测点数量对指标精确度的影响,通过损伤钢梁模态试验对上述结论进行验证.结果表明,所提方法能较好地定位及定量损伤,在靠近振型节点处指标识别精度高于曲率模态. 展开更多
关键词 广义局部曲率模态 信息熵 曲率模态 神经网络 损伤定位 损伤定量 模态测试 简支梁
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