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math.DS2026★ 16 cited
Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition
Akira Saito, Masato Tanaka
Piecewise-linear nonlinear systems appear in many engineering disciplines. Prediction of the dynamic behavior of such systems is of great importance from practical and theoretical…
math.DS2026★ 73 cited
Data-driven Experimental Modal Analysis by Dynamic Mode Decomposition
Akira Saito, Tomohiro Kuno
This paper discusses the application of Dynamic Mode Decomposition (DMD) to the extraction of modal properties of linear mechanical systems, i.e., experimental modal analysis (EMA)…