为了发展宏应变模态识别技术并提高其在土木结构健康监测中的适用能力,提出了运行宏应变形状的概念及相应的获取方法,并进一步识别了宏应变模态,以适用结构处于不断变化的未知激励环境.所提新技术的核心是基于宏应变传递率函数在系统极值点独立于激励源并收敛的独特性质.通过对一个三跨连续梁结构模型进行力锤激励,对所提方法进行了试验验证,同时将识别结果与未知激励条件下最常用的峰值拾取法(PP)和随机子空间法(SSI)以及数值结果进行了对比分析.结果表明,该方法联合了多次测试数据,在不同加载工况下,其识别结果在精度和稳定性方面具有独特优势,同时也表明分布式应变传感系统在运行结构宏应变模态识别及结构健康监测领域应用前景好 In order to develop macro-strain modal identification technology and improve its adaptability to civil structure health monitoring, the concept of macro-strain operation and its corresponding acquisition method are proposed, and the macro-strain modalities are further identified to adapt to the ever-changing structure The core of the new technology is based on the unique property that the macro-strain transfer rate function is independent of the excitation source and converges at the extremum of the system.Through the hammer excitation of a three-span continuous beam structural model, Method, and compared the results of identification with the most commonly used peak pick-up (PP) and stochastic subspace (SSI) and numerical results under unknown conditions.The results show that this method combined with multiple tests Data under different load conditions, the identification results have unique advantages in accuracy and stability, and also shows the application prospect of distributed strain sensor system in macro-strain modal identification of operation structure and structural health monitoring