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Modal analysis of structures under non-stationary excitation

机译:非平稳激励下结构的模态分析

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The search for mathematical-numerical models to be applied in the design or optimization of civil structures may require adjustment and validation based on experimental data. However, in many cases, when performing dynamic assessment in field structures, it is common to face the situation where it is impossible to stop the running of certain equipment. In this case, all measurements performed on the building and the neighboring structures will be corrupted by noise generated during the operation of these machines. Clearly, many parameter estimation algorithms used to characterize the dynamic behavior of a structure, which are based on the assumption of prior knowledge of the input force in their formulations, may give poor results. In this context, a modal analysis procedure based on the adaptive filter RLS/QRD is described. In this analysis, the measured vibration signal is corrupted by a harmonic noise, in particular, in the presence of signals from the actual machine or other nearby machines. The specific characteristics of the modeling and the hypotheses associated with the harmonic signals are explained. The fact that the excitation force is considered not to be time-invariant in the model, but the frequency varies over time, allows the modal parameters to be identified even under non-stationary conditions. In order to investigate the influence of harmonic noise on the estimated values, a numerical model of the ASCE benchmark structure was used to simulate some practical situations. (C) 2015 Elsevier Ltd. All rights reserved.
机译:对要在土木结构的设计或优化中应用的数学数字模型的搜索可能需要根据实验数据进行调整和验证。但是,在许多情况下,在现场结构中进行动态评估时,通常会遇到无法停止某些设备运行的情况。在这种情况下,在建筑物和邻近建筑物上执行的所有测量都会因这些机器运行期间产生的噪声而损坏。显然,许多用于估计结构动态行为的参数估计算法(基于对输入力在其配方中的先验知识的假设)可能会得出较差的结果。在本文中,描述了基于自适应滤波器RLS / QRD的模态分析过程。在该分析中,特别是在存在来自实际机器或其他附近机器的信号的情况下,所测量的振动信号会被谐波噪声破坏。解释了建模的特定特征以及与谐波信号相关的假设。激振力在模型中被认为不是时不变的,但是频率随时间变化,这一事实使得即使在非平稳条件下也可以识别模态参数。为了研究谐波噪声对估计值的影响,使用了ASCE基准结构的数值模型来模拟一些实际情况。 (C)2015 Elsevier Ltd.保留所有权利。

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