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An automatic approach towards modal parameter estimation for high-rise buildings of multicomponent signals under ambient excitations via filter-free Random Decrement Technique

机译:利用无滤波器随机减量技术自动估计环境激励下高层建筑多分量信号的模态参数

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摘要

This paper proposes an automatic modal analysis approach for signals of high-rise buildings recorded under real-world ambient excitations. The fact of working over such type of signals is faced with several challenges: the time-domain convolution between the system impulse response and the seismic noise, the existence of several components, the presence of closely-spaced frequency modes, with high additive noises, and low, exponential and damped amplitudes. The proposed approach handles these challenges simultaneously without the need for a user intervention. It is based on a filter-free Random Decrement Technique to estimate the free-decay response, followed by a spectral-based method for a rough modal estimate and finalized by a Maximum-Likelihood Estimation process to refine the modal estimates. Each of these processes is responsible to tackle one or more of the aforementioned challenges in the aim to provide an automatic and moreover a reliable modal analysis of the studied signals.
机译:本文提出了一种自动模态分析方法,用于在现实环境中激发下记录的高层建筑信​​号。处理此类信号的事实面临着许多挑战:系统脉冲响应和地震噪声之间的时域卷积,存在多个分量,存在紧密间隔的频率模式以及高附加噪声,低,指数和阻尼振幅。所提出的方法同时解决了这些挑战,而无需用户干预。它基于无滤波器的随机减量技术来估计自由衰减响应,然后基于频谱的方法进行粗略的模态估计,并通过最大似然估计过程最终确定,以完善模态估计。这些过程中的每一个都负责解决一个或多个上述挑战,目的是为研究的信号提供自动且可靠的模态分析。

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