Damage identification using static and dynamic responses based on topology optimization and lasso regularization

Ryo Sugai, Akira Saito, Hidetaka Saomoto

研究成果: Conference contribution査読

抄録

This paper presents a damage identification method based on topology optimization and Lasso regularization. The method uses static displacements or dynamic responses to identify damages of structures. The method has the potential to identify damages with high fidelity, in comparison with ordinary damage identification method based on optimization with parameterized geometry of the damages. However, it is difficult to precisely detect damage using topology optimization due mostly to the large number of design variables. Therefore, supposing that the damage is sufficiently small, we propose a method adding Lasso regularization to the objective functions to suppress active design variables during topology optimization process. To verify the effectiveness of the proposed method, we conducted a set of numerical experiments for static and dynamic problems. We have succeeded in suppressing active design variables and delete artificially generated damages and the location and shape of damage have been precisely identified.

本文言語English
ホスト出版物のタイトル32nd Conference on Mechanical Vibration and Noise (VIB)
出版社American Society of Mechanical Engineers (ASME)
ISBN(電子版)9780791883969
DOI
出版ステータスPublished - 2020
イベントASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020 - Virtual, Online
継続期間: 17 8月 202019 8月 2020

出版物シリーズ

名前Proceedings of the ASME Design Engineering Technical Conference
7

Conference

ConferenceASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020
CityVirtual, Online
Period17/08/2019/08/20

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