A turbulence reduced order model based on non-interpolated convolutional autoencoder

Reduced-order modeling stands as a pivotal method in curbing the computational expenses linked with expansive fluid dynamics quandaries by employing proxy numerical simulations. Within this realm, downscaling and reconstruction methods serve as fundamental constituents of reduced-order modeling. The...

Full description

Saved in:

Bibliographic Details
Published in:	Xibei Gongye Daxue Xuebao Vol. 43; no. 1; pp. 149 - 153
Main Authors:	WU, Pin, ZHANG, Bo, SONG, Chao, ZHOU, Zhu
Format:	Journal Article
Language:	Chinese English
Published:	EDP Sciences 01.02.2025
Subjects:	non-interpolated convolutional autoencoder reduced-dimensional reconstruction reduced-order model
ISSN:	1000-2758, 2609-7125
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!