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j.ymssp.2019.106496.pdf | 1.42 MB | Adobe PDF | 見る/開く |
タイトル: | A spectrum-driven damage identification by minimum constitutive relation error and sparse regularization |
著者: | Guo, Jia Jiao, Jian Fujita, Kohei Takewaki, Izuru https://orcid.org/0000-0002-5673-2409 (unconfirmed) |
著者名の別形: | 藤田, 皓平 竹脇, 出 |
キーワード: | Damage identification Constitutive relation error Sparse regularization Power spectrum density Pseudo excitation method |
発行日: | Feb-2020 |
出版者: | Elsevier BV |
誌名: | Mechanical Systems and Signal Processing |
巻: | 136 |
論文番号: | 106496 |
抄録: | This paper proposes a novel model-based damage identification strategy based on minimum constitutive relation error and sparse regularization using the power spectrum density data. Firstly, the stationary random vibration problem is transformed into a series of harmonic vibrations by the pseudo excitation method and the error in constitutive relation is established by the admissible stress field and admissible displacement field. A much more general and simpler strategy so as to build the admissible stress field is addressed by requiring only an extra decomposition of the stiffness matrix. Then, the sparse regularization is added to the original constitutive relation error objective function to circumvent the ill-posedness of the inverse problem. Finally, the solution of this nonlinear optimization problem is solved by the alternating minimization method. The proposed method has the advantage that only measurement power spectrum density data from few limited sensors are needed in the inverse analysis. Numerical and experimental results show the effectiveness and robustness of this approach. |
著作権等: | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The full-text file will be made open to the public on 1 February 2022 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 This is not the published version. Please cite only the published version. |
URI: | http://hdl.handle.net/2433/245025 |
DOI(出版社版): | 10.1016/j.ymssp.2019.106496 |
出現コレクション: | 学術雑誌掲載論文等 |
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