AI and fluid dynamics(1)

Thu. Sep 21, 2023 1:30 PM - 3:30 PM room C (L0022)

Chair:Koji Fukagata(Keio University)

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1:30 PM - 1:50 PM

[C6-01] Development of a control system for generating single drops using deep learning

*Takahito Kosugi¹, Ryo Yamamoto², Kazuaki Maeda¹, Taimei Miygawa¹, Minori Shirota¹ (1. Graduate School of Science and Technology, Hirosaki University, 2. Hirosaki University, Faculty of Science and Technology)

1:50 PM - 2:10 PM

[C6-02] Thermal control of secondary flow of Prandtl's second kind in a square duct by reinforcement learning

*Takashi Mitani¹, Atsushi Sekimoto¹ (1. Okayama Univ.)

2:10 PM - 2:30 PM

[C6-03] Drag Reduction Control by Reinforcement Learning Focused on Vortical Structures based on Opposition Control

*Taisei Sato¹, Tomohiro Nimura¹, Akira Murata¹, Kaoru Iwamoto¹ (1. Tokyo University of Agriculture and Technology)

2:30 PM - 2:50 PM

[C6-04] Experiments on wake flow with a free surface and control by reinforcement learning

*Shunsuke Goda¹, Ayuri Fujishima¹, Takaya Masuda¹, Yutaro Motoori¹, Susumu Goto¹ (1. Osaka Univ.)

2:50 PM - 3:10 PM

[C6-05] Actuator placement optimization based on singular vector method in linearized Ginzburg-Landau model

*Masahito Watanabe¹, Yasuo Sasaki¹, Keigo Yamada¹, Takayuki Nagata¹, Taku Nonomura¹ (1. Tohoku University)

3:10 PM - 3:30 PM

[C6-06] Deep Reinforcement Learning-based Closed-loop Control of Flow Separation around Airfoil utilizing 3D CFD Simulation

*Naoki Takada¹, Ayano Watanabe¹, Satoshi Shimomura¹, Shuji Otomo¹, Hiroyuki Nishida¹ (1. Tokyo University of Agriculture and Technology)

AI and fluid dynamics(2)

Fri. Sep 22, 2023 9:00 AM - 10:40 AM room E (L0026)

Chair:Yasushi Nakabayashi(Toyo University)

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9:00 AM - 9:20 AM

[E7-01] Shape optimization to control flow velocity in viscous flow field considering fluid structure interaction

*Eiji Katamine¹, Mizutani Kota² (1. National Institute of Technology, Gifu College, 2. Mie University)

9:20 AM - 9:40 AM

[E7-02] Black-Box Optimization for Fluid Flow Phenomena using Machine Learning and Ising Machines

*Yuki Minamoto¹ (1. Fixstars Amplify Corporation)

9:40 AM - 10:00 AM

[E7-03] Shape design of hypersonic vehicle using image generation AI with Variational Autoencoder

*Daichi Yamamoto¹, Kojiro Suzuki² (1. The University of Tokyo Graduate School, 2. The University of Tokyo Graduate School of Frontier Sciences)

10:00 AM - 10:20 AM

[E7-04] Flow Visualization Using Classification of Flow by Self-Organizing Map

*Yoshiaki Tamura¹, Masato Masuda¹ (1. Toyo University)

10:20 AM - 10:40 AM

[E7-05] Actuator Placement Optimization based on Randomized Singular Vector Method for Efficient Control of High-dimensional System

*Takayuki Nagata Nagata¹, Keigo Yamada¹, Yasuo Sasaki¹, Masahito Watanabe¹, Taku Nonomura¹ (1. Tohoku University)

AI and fluid dynamics(3)

Fri. Sep 22, 2023 10:50 AM - 12:30 PM room E (L0026)

Chair:Masanobu Inubushi(Tokyo University of Science)

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10:50 AM - 11:10 AM

[E8-01] Development of a machine learning model for anomaly detection in the flow around the cylinder

*Riku Goto¹, Takeru Ishize¹, Reno Miura¹, Koji Fukagata¹ (1. Keio university)

11:10 AM - 11:30 AM

[E8-02] Investigation of Data-Driven Approaches for Predicting Instability in Fluid Dynamics

*Yuto Nakamura¹, Sato Shintaro¹, Naofumi Ohnishi¹ (1. Tohoku Univ.)

11:30 AM - 11:50 AM

[E8-03] Study on Advancement of a method for estimating changes in typhoon pressure using machine learning

*Sae Ichiki¹, Masaru Yamashiro², Yoshihiko Ide², Masaya Ogawa¹ (1. graduate school of Kyushu,faculty of Engineering,department of Civil Engineering, 2. graduate school of Kyushu,faculty of Engineering,Asian Disaster Research center)

11:50 AM - 12:10 PM

[E8-04] Prediction of statistical quantities of fluid flow using reservoir computing

Miki U. Kobayashi¹, *Kengo Nakai², Yoshitaka Saiki³, Natsuki Tsutsumi (1. Rissho University, 2. Okayama University, 3. Hitotsubashi University)

12:10 PM - 12:30 PM

[E8-05] Flow simulations of polymer melts with machine-learned constitutive relations

*Souta Miyamoto¹, John J Molina¹, Takashi Taniguchi¹ (1. Kyoto Univ.)

AI and fluid dynamics(4)

Fri. Sep 22, 2023 1:30 PM - 3:30 PM room E (L0026)

Chair:Taku Nonomura(Tohoku University)

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1:30 PM - 1:50 PM

[E9-01] Machine-learning-based SGS modeling towards coarse-grid LES

*Soju Maejima¹, Soshi Kawai¹ (1. Tohoku University)

1:50 PM - 2:10 PM

[E9-02] Feasibility of Turbulence Model by Machine Learning

*Satoshi Matsumoto¹, Masanobu Inubushi^1,2, Susumu Goto¹ (1. Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, 2. Department of Applied Mathematics, Tokyo University of Science)

2:10 PM - 2:30 PM

[E9-03] A posteriori test of convolutional-neural-network wall model for large eddy simulation

*Golsa Tabe Jamaat¹, Yuji Hattori² (1. Tohoku university (Graduate School of Information Sciences), 2. Tohoku university (Institute of fluid science))

2:30 PM - 2:50 PM

[E9-04] Nonlinear reduced-order modeling for three-dimensional turbulence around complex shapes

*Kazuto Ando^1,2, Rahul Bale^1,2, Makoto Tsubokura^1,2 (1. RIKEN Center for Computational Science (R-CCS), 2. Graduate School of System Informatics, Kobe University)

2:50 PM - 3:10 PM

[E9-05] A New Proposal for Unsteady Flow Field Analysis Method - Global POD - (Part 1: Introduction of the Method and Application to Two Velocity Components in a Curved Pipe)

*Mikimasa Kawaguchi¹, Makoto Iwasaki¹, Ryoutaro Nakayama¹, Akira Nakashima², Yoichi Ogata¹ (1. Hiroshima Univ., 2. Mazda Mortor Co.)

3:10 PM - 3:30 PM

[E9-06] A New Proposal for Unsteady Flow Field Analysis Method - Global POD - (Part 2: Application to Three Velocity Components in a Curved Pipe)

*Masato Iwasaki¹, Mikimasa Kawaguti¹, Ryoutaro Nakayama¹, Akira Nakashima², Yoichi Ogata¹ (1. Hiroshima Univ., 2. Mazda Mortor CO.)

AI and fluid dynamics(5)

Fri. Sep 22, 2023 3:40 PM - 5:00 PM room E (L0026)

Chair:Kengo Nakai(Okayama University)

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3:40 PM - 4:00 PM

[E10-01] Study of prediction of CFD analysis result using Convolutional LSTM

*Masato Masuda¹, Yasushi Nakabayashi¹, Yoshiaki Tamura¹ (1. Toyo University)

4:00 PM - 4:20 PM

[E10-02] Learning Flow and Transport Phenomena Using Machine Learning Models Satisfying Conservation and Symmetry

*Masanobu Horie^1,2, Naoto Mitsume³ (1. RICOS Co. Ltd., 2. JST Presto, 3. University of Tsukuba)

4:20 PM - 4:40 PM

[E10-03] CNN-based estimation model for Poisson equation in curvilinear coordinates and its study on application to CFD

*Takahiro Suzuki¹, Kojiro Suzuki¹ (1. University of Tokyo)

4:40 PM - 5:00 PM

[E10-04] Evolutional Deep Neural Network applied to equation of liquid film flows

*So Yamashita¹, Suguru Shiratori², Hideaki Nagano², Kenjiro Shimano² (1. Graduate School, Tokyo City Univ., 2. Tokyo City Univ.)

Sessions

Analysis, prediction, and control » AI and fluid dynamics