collaborators

6 papers

physics.flu-dyn2026

Low-dimensional structure and online tracking of POD subspaces on the Grassmann manifold: application to flow around an airfoil

Shintaro Sato, Yoshitsugu Naka, Rei Sasaki +2

Representing flow states over a wide range of flow parameters and control inputs in a low-dimensional state space is a central challenge in fluid mechanics. Rather than representin…

physics.flu-dyn2026

Improvement of reduced-order model for two-dimensional cylinder flow based on global proper orthogonal decomposition in terms of robustness and computational speed

Yuto Nakamura, Shintaro Sato, Naofumi Ohnishi

Reduced-order models (ROMs) are widely used in fluid engineering to enable rapid prediction of flow fields for parametric analysis, design optimization, and control applications. P…

physics.flu-dyn2025

On the conservation of physical properties in operator interpolation of parameterized hydrodynamic systems

Yuto Nakamura, Shintaro Sato, Naofumi Ohnishi

Reduced-order models (ROMs) that capture changes in fluid systems due to variations in parameters, such as the Reynolds number or the shape of a stationary body placed in the flow,…

physics.flu-dyn2025

Energy transfer and budget analysis for transient process with phase-averaged reduced-order model

Yuto Nakamura, Yuma Kuroda, Shintaro Sato +1

We derive a phase-averaged representation of transient flows based on the eigenmodes of a data-driven linear operator that approximates the Navier-Stokes dynamics. In performing ph…

physics.flu-dyn2025

Uncovering triadic interaction relationships latent in Mode A behind a circular cylinder

Yuto Nakamura, Shintaro Sato, Naofumi Ohnishi

Coherence between multiple low-frequency components latent in the flow fields characterizes the nonlinear aspects of fluid dynamics. This study reveals the existance of the distinc…

physics.flu-dyn2025

Parametric reduced-order modeling and mode sensitivity of actuated cylinder flow from a matrix manifold perspective

Shintaro Sato, Oliver T. Schmidt

We present a framework for parametric proper orthogonal decomposition (POD)-Galerkin reduced-order modeling (ROM) of fluid flows that accommodates variations in flow parameters and…