AJKFED 2023 (ASME-JSME-KSME Joint Fluids Engineering Conference)

Presentation information

Print

Technical session

V. Data-based Simulations and Machine Learning

1-10-2

Mon. Jul 10, 2023 2:40 PM - 4:40 PM Room 10 (10F 1009)

Chair:Koji Fukagata(Keio University)

3:40 PM - 4:00 PM

[1-10-2-04] Deep learning cost-efficient framework for static fluid-structure interaction analysis of hydrofoil

Jian Xu1, *longyan wang1, Jianping Yuan1 (1. Jiangsu Univ.)

Keywords:Flexible hydrofoil, Elastic deformation, Fluid structure interaction , Convolutional neural network, Finite element method

Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.

Password