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Full-scale dynamic response of an RC building under weak seismic motions using earthquake recordings, ambient vibrations and modelling

机译:使用地震记录,环境振动和建模,在弱地震运动下钢筋混凝土建筑物的全尺寸动态响应

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In countries with a moderate seismic hazard, the classical methods developed for strong motion prone countries to estimate the seismic behaviour and subsequent vulnerability of existing buildings are often inadequate and not financially realistic. The main goals of this paper are to show how the modal analysis can contribute to the understanding of the seismic building response and the good relevancy of a modal model based on ambient vibrations for estimating the structural deformation under weak earthquakes. We describe the application of an enhanced modal analysis technique (frequency domain decomposition) to process ambient vibration recordings taken at the Grenoble City Hall building (France). The frequencies of ambient vibrations are compared with those of weak earthquakes recorded by the French permanent accelerometric network (RAP) that was installed to monitor the building. The frequency variations of the building under weak earthquakes are shown to be less (~2%) and therefore ambient vibration frequencies are relevant over the elastic domain of the building. The modal parameters extracted from ambient vibrations are then used to determine the 1D lumped-mass model in order to reproduce the inter-storey drift under weak earthquakes and to fix a 3D numerical model that could be used for strong earthquakes. The correlation coefficients between data and synthetic motion are close to 80 and 90% in horizontal directions, for the 1D and 3D modelling, respectively.
机译:在地震危险中等的国家,为容易发生强烈运动的国家开发的用于估计现有建筑物的地震行为和随后易损性的经典方法通常是不充分的,在财务上也不现实。本文的主要目的是展示模态分析如何有助于理解地震建筑物的响应以及基于环境振动的模态模型的良好相关性,以估算弱地震下的结构变形。我们描述了一种增强的模态分析技术(频域分解)在处理格勒诺布尔市政厅大楼(法国)拍摄的环境振动记录中的应用。将环境振动的频率与法国永久性加速度计网络(RAP)记录的微弱地震的频率进行比较,该网络用于监控建筑物。示出了在弱地震下建筑物的频率变化较小(〜2%),因此环境振动频率与建筑物的弹性域有关。然后,从环境振动中提取的模态参数用于确定一维集总质量模型,以便重现弱地震下的层间漂移并确定可用于强地震的3D数值模型。对于1D和3D建模,数据和合成运动之间的相关系数在水平方向分别接近80%和90%。

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