Spatio-temporal water height prediction for dam break flows using deep learning
Spatio-temporal prediction of the water height for dam break flow is of great significance in
flood control projects. In this article, we propose a novel deep learning model named AE …
flood control projects. In this article, we propose a novel deep learning model named AE …
A novel symmetric flux limiter scheme for unstructured grids
X Gao, X Zhang, Q Wu, Z Zhao, Y Liu, J Ou, J Liu - Computers & Fluids, 2024 - Elsevier
An appropriate flux limiter scheme and r-factor algorithm are crucial for convective
discretization processes in computational fluid dynamics. To balance the accuracy …
discretization processes in computational fluid dynamics. To balance the accuracy …
An accurate and efficient deep learning model for spatio-temporal prediction of interfacial flows
Aiming at fast and accurate spatiotemporal prediction of interfacial flow fields, a novel deep
learning model combining Convolutional AutoEncoder (CAE) and long short-term memory …
learning model combining Convolutional AutoEncoder (CAE) and long short-term memory …
[PDF][PDF] An accurate and efficient deep learning model for spatio-temporal
Interfacial flows widely exist in many natural phenomena and engineering 2 applications,
such as dam break flood [1], bubble flow [2] and liquid atomization [3]. 3 The interest about …
such as dam break flood [1], bubble flow [2] and liquid atomization [3]. 3 The interest about …