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Gaussian-filtered Horizontal Motion (GHM) plots of non-synchronous ambient microtremors for the identification of flexural and torsional modes of a building

机译:非同步环境微震的高斯滤波水平运动(GHM)图,用于识别建筑物的挠曲和扭转模式

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摘要

It is often assumed that, in order to identify flexural and torsional vibration modes of a building, it is necessary to record synchronous data from a series of sensors deployed at different points. In the present paper, we present a simple and straightforward methodology to unambiguously identify flexural and torsional modes through the analysis of non synchronous data collected by a single sensor placed in succession at different points of the structure.
机译:通常认为,为了识别建筑物的弯曲和扭转振动模式,有必要记录来自部署在不同点的一系列传感器的同步数据。在本文中,我们提出了一种简单直接的方法,通过分析单个传感器连续收集到的结构不同点上的非同步数据来明确识别弯曲模式和扭转模式。

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