Decoding Transition Mechanisms of Seismic Response via Dynamic Mode Decomposition

This study focuses on geotechnical system identification and surrogate modeling for ground response analysis using only surface and subsurface time-series data, without relying on geotechnical information or ground modeling. By representing ground response in state-space form and applying Dynamic Mode Decomposition, a linear system is proposed to identify the ground system's inherent time evolution and predict its response as a data-driven approach. The proposed method's validity is confirmed through comparisons with ground response simulation results.

Keywords: Dynamic mode decomposition, Data-driven, Seismic response analysis.