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Modal Identification of Boiler Plant Structures by Seismic Records (Identification Based on Multi-Input/Output AR Model)

机译:地震记录对锅炉设备结构的模态识别(基于多输入/输出AR模型的识别)

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摘要

This paper deals with a modal identification method for large-scale structures such as boiler plants in thermal power stations. The proposed method utilizes seismic records which include multidirectional base acceleration data, and multi-I/O identification is carried out. This method is composed of two stages: (1) processing of frequency transfer functions by multi-variate autoregressive (AR) spectral analysis, and (2) curve-fitting to extract modal parameters. This method is examined using time-series data of seismic response simulation, and a comparative study is carried out between multi-input and single-input identification. It is shown that asymmetrical structures excited by earthquakes should be identified using multi-I/O identification. This method has actually been applied to in-situ seismic observation data of a boiler plant in operation. As a result of these investigations, this kind of modal identification has proven to be an effective tool for seismic modeling of large-scale structures.
机译:本文针对火电厂锅炉房等大型结构的模态识别方法进行了研究。所提出的方法利用包括多方向基本加速度数据的地震记录,并进行多I / O识别。该方法包括两个阶段:(1)通过多元自回归(AR)频谱分析处理频率传递函数,以及(2)曲线拟合以提取模态参数。使用地震响应模拟的时间序列数据检验了该方法,并在多输入和单输入识别之间进行了比较研究。结果表明,应采用多重I / O识别来识别地震激发的非对称结构。该方法实际上已经应用于正在运行的锅炉厂的现场地震观测数据。这些研究的结果是,这种模式识别已被证明是对大型结构进行地震建模的有效工具。

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