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System identification and damage evaluation of degrading hysteresis of reinforced concrete frames

机译：钢筋混凝土框架退化滞后的系统识别与损伤评估

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摘要

In this study, signal processing approaches and nonlinear identification are used to measure seismic responses of reinforced concrete (RC) structures using the shaking table test. To analyze structural nonlinearity, an equivalent linear system with time-varying model parameters, singular spectrum analysis to elucidate residual deformation, and wavelet packet transformation analysis to yield the energy distribution among components are adopted to detect the nonlinearity. Then, damage feature extraction is conducted using both the Holder exponent and the Level-1 detail of the discrete wavelet component. Finally, the modified Bouc-Wen hysteretic model and the system identification process are employed to the shaking table test data to evaluate the physical parameters, including the stiffness degradation, the strength deterioration and the pinching hysteresis. Finally, the identified stiffness and strength degradation functions from the test data of RC frames in relation to the degree of ground shaking, damage index and the identified nonlinear features are discussed. Based on the proposed method, both signal-based and model-based identifications, the relationship between the damage occurrence and severity of structural damage can be identified.
机译：在这项研究中，信号处理方法和非线性识别用于通过振动台测试来测量钢筋混凝土（RC）结构的地震响应。为了分析结构非线性，采用具有时变模型参数的等效线性系统，奇异频谱分析以阐明残余变形以及小波包变换分析以产生组件之间的能量分布来检测非线性。然后，使用Holder指数和离散小波分量的Level-1细节进行损伤特征提取。最后，将改进的Bouc-Wen磁滞模型和系统识别过程用于振动台测试数据，以评估物理参数，包括刚度降低，强度降低和捏滞滞后。最后，讨论了根据钢筋混凝土框架测试数据确定的刚度和强度退化函数，这些函数与地面震动的程度，损伤指数和确定的非线性特征有关。基于所提出的方法，无论是基于信号的识别还是基于模型的识别，都可以识别损伤发生与结构损伤严重性之间的关系。

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