日本機械学会論文集
Online ISSN : 2187-9761
ISSN-L : 2187-9761

この記事には本公開記事があります。本公開記事を参照してください。
引用する場合も本公開記事を引用してください。

バイスペクトルとクロスバイスペクトルに着目した非ガウス性不規則励振が線形系の変位応答と速度応答に与える影響の考察
伊藤 大造土田 崇弘
著者情報
ジャーナル オープンアクセス 早期公開

論文ID: 22-00143

この記事には本公開記事があります。
詳細
抄録

We consider a linear system under non-Gaussian random excitation modeled by the Cai and Lin’s model and investigate the effects of the non-Gaussianity of the excitation on the displacement and velocity responses based on the bispectrum and cross-bispectrum. Bispectrum is one of the higher-order spectra which are generalization of power spectrum. Just as the power spectrum is the distribution of the 2nd-order moment of a stationary stochastic process in the frequency domain, the bispectrum is the distribution of its 3rd-order moment in the frequency domain. Cross-bispectrum is generalization of cross-spectrum, and the cross-bispectrum between the excitation and the response provides the input-output relation of the non-Gaussianity in the frequency domain. The Cai and Lin’s model for the excitation can represent a wide variety of non-Gaussian processes observed in various engineering problems. In this paper, we derive the bispectrum of the Cai and Lin’s model and show the properties of the non-Gaussianity of the model in the frequency domain. Using the derived bispectrum, we obtain the cross-bispectrum between the excitation and the response, and it reveals that how the effect of the non-Gaussianity of the excitation on the response changes depending on a bandwidth parameter α of the Cai and Lin’s model. It is shown that when α is small, the non-Gaussianity of the excitation concentrated on the DC component is mostly transferred to the DC component of the displacement response, but is hardly transferred to the velocity response. On the other hand, when α is large, the power of the resonant frequency component is dominant in the response, but the resonant frequency component hardly transfers or amplifies the non-Gaussianity of the excitation. These findings can only be obtained from the bispectrum and cross-bispectrum, and cannot from the power spectrum.

著者関連情報
© 2022 一般社団法人日本機械学会

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
feedback
Top