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Structural damage estimation in mid-rise reinforced concrete structure based on time–frequency analysis of seismic accelerograms

机译:基于地震加速度图时频分析的中高层钢筋混凝土结构损伤评估

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摘要

The aim of this study is to evaluate the intensity and damage potential of seismic accelerograms on structures combining a fuzzy inference system with a set of new seismic intensity parameters. The proposed seismic parameters stem from the energy content of seismic signals. More specifically, a time-window is utilised to define the strong motion duration of seismic excitations and the ensemble empirical mode decomposition is employed for a time-frequency analysis of the selected strong motion area. The maximum inter-storey drift ratio is selected as the seismic structural damage index. Strong interdependence between the proposed seismic intensity parameters and the selected damage index is reported. The membership functions of the fuzzy system are tuned by means of a genetic algorithm. The effectiveness of the proposed fuzzy model is tested on a reinforced concrete frame structure. The methodology should be repeated for every new examined structure and it can be applied to other building types with minor changes. Numerical results indicate total mean square error <;0.25 for the maximum inter-storey drift ratio estimation and 91% correct classification rate to seismic categories, revealing the effectiveness of the fuzzy model to estimate numerically the structural damage.
机译:这项研究的目的是结合模糊推理系统和一组新的地震烈度参数来评估结构上地震加速度图的强度和破坏潜力。提出的地震参数源自地震信号的能量含量。更具体地,利用时间窗口来定义地震激励的强运动持续时间,并且将整体经验模式分解用于所选择的强运动区域的时频分析。选择最大层间漂移比作为地震结构破坏指数。报告了拟议的地震烈度参数与所选破坏指数之间的强烈相互依赖性。模糊系统的隶属函数通过遗传算法进行调整。在钢筋混凝土框架结构上测试了所提出的模糊模型的有效性。对于每个新检查的结构,都应重复使用该方法,并且可以将其略微更改后应用于其他建筑类型。数值结果表明,最大层间漂移比估计的总均方误差<; 0.25,并且对地震类别的正确分类率为91%,这表明模糊模型可以用数字方式估计结构破坏。

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