基于振动特性的结构损伤识别方法与试验研究的中期报告摘要本文介绍了一种基于振动特性的结构损伤识别方法及相应的试验研究。该方法通过采集结构的振动响应信号，并运用模态参数识别算法进行数据处理和分析，从而实现对结构的损伤识别和定位。其中模态参数识别算法包括传统的谱分析法、自适应算法和基于卡尔曼滤波的算法等。试验研究中采用了某桥梁模型，并通过在模型上引入不同类型和程度的损伤，进行了振动试验和数据采集。结果表明，该识别方法可有效地识别出结构的损伤，并精确地确定损伤位置和程度。实验研究为该识别方法的应用提供了有力的支持和参考。关键词：结构损伤；振动特性；模态参数；识别方法；试验研究AbstractThispaperintroducesamethodofstructuredamageidentificationbasedonvibrationcharacteristicsandcorrespondingexperimentalresearch.Themethodcollectsthevibrationresponsesignalsofthestructureandusesmodalparameteridentificationalgorithmsfordataprocessingandanalysis,therebyrealizingtheidentificationandlocalizationofstructuredamage.Themodalparameteridentificationalgorithmsincludetraditionalspectralanalysismethods,adaptivealgorithms,andKalmanfiltering-basedalgorithms.Theexperimentalresearchusedabridgemodelandconductedvibrationtestsanddatacollectionbyintroducingdifferenttypesanddegreesofdamageonthemodel.Theresultsshowthattheidentificationmethodcaneffectivelyidentifythedamageofthestructureandaccuratelydeterminethelocationanddegreeofdamage.Theexperimentalresearchprovidesstrongsupportandreferencefortheapplicationofthisidentificationmethod.Keywords:structuredamage;vibrationcharacteristics;modalparameters;identificationmethod;experimentalresearch