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Updating of Dynamic Structural Systems by Learning

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 | Dynamic models | Structural system identification | Structural dynamics | Structural models | Numerical models | Dynamic structural analysis

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