Updating of Dynamic Structural Systems by Learning

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by Masaru Hoshiya, Musashi Inst of Technology, Tokyo, Japan,
Yasuyoshi Obuchi, Musashi Inst of Technology, Tokyo, Japan,
Shigeru Noda, Musashi Inst of Technology, Tokyo, Japan,

Document Type: Proceeding Paper

Part of: Probabilistic Mechanics and Structural and Geotechnical Reliability:

Abstract: Many techniques have been developed to identify structural system parameters; however, they are generally restricted to parameter identification within the framework of an equivalent structure model. This paper proposes an updating technique to autoassociate by learning a concerned dynamic system, which is represented by a system dynamics (SD) model. To justify the logical notion, a numerical test is carried out for identification of a SDOF linear system.

Subject Headings: Structural systems | Structural dynamics | Dynamic structural analysis | Dynamic models | Wood structures | Parameters (statistics) | Structural models | Model tests | North America | South Dakota | United States

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