JSAI2022

Presentation information

General Session

General Session » GS-10 AI application

[3N4-GS-10] AI application: model

Thu. Jun 16, 2022 3:30 PM - 5:10 PM Room N (Room 501)

座長:木佐森 慶一(NEC)[現地]

4:10 PM - 4:30 PM

[3N4-GS-10-03] Construction of Reservoir Computing Reduced-order Model based on Time Series Velocity Field around Airfoil

〇Yuto Iwasaki1, Kumi Nakai1, Takayuki Nagata1, Taku Nonomura1, Keisuke Asai1, Masanobu Inubushi2 (1. Tohoku University, 2. Tokyo University of Science)

Keywords:Reservoir Computing, Reduced-order Model, Proper Orthogonal Decomposition

This study proposes a reservoir computing reduced-order model (RCROM) based on time series velocity field of post-stall flow around a NACA0015 airfoil. The low-dimensional description of the velocity field is obtained by applying a proper orthogonal decomposition (POD) to the time series velocity field. The time development of the low-dimensional velocity field, which is the amplitude of the POD bases, is learned by a reservoir computing approach using an echo state network. The estimation accuracy of RCROM is evaluated by one-step ahead prediction compared to a linear reduced-order model (LROM) which estimates the amplitude of the POD bases by a linear equation. The results show that the estimation accuracy of RCROM is higher than that of LROM by 12.2%.

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