DATA-DRIVEN MODELING AND DEEP LEARNING FOR FLUID-STRUCTURE INTERACTION
Ph.D
Saved in:
Main Author: | THARINDU PRADEEPTHA MIYANAWALA |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/159901 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Proper-orthogonal-decomposition study of turbulent near wake of S805 airfoil in deep stall
by: Wu, Yanhua, et al.
Published: (2018) -
DATA-DRIVEN COMPUTING FOR THE STABILITY ANALYSIS AND PREDICTION OF FLUID-STRUCTURE INTERACTION
by: SANDEEP REDDY BUKKA
Published: (2020) -
POD-based data mining of turbulent flows in front of and on top of smooth and roughness-resolved forward-facing steps
by: Yang, Shaoqiong, et al.
Published: (2019) -
Flow visualization in a hybrid thermoacoustic system
by: Shen, Lu, et al.
Published: (2022) -
Computation speedup in the dynamic simulation of MEMS by macromodels
by: Lin, W., et al.
Published: (2014)