Physics informed neural network for heat transfer problem in concrete structure
In solving Partial Differential Equations (PDEs), numerical methods like Finite Element Methods (FEM) are popular choices. However, despite its popularity, FEM does pose certain limitations. For instance, it requires additional techniques when dealing with nonlinear engineering problems and in...
Saved in:
Main Author: | Powa, Anderson Justin |
---|---|
Other Authors: | Tan Kang Hai |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176853 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Complete blow-up for a semilinear parabolic equation
by: Panumart Sawangtong
Published: (2009) -
On the solvability of a system involving a singular equation of Gerard-Tahara type of partial differential equation
by: Ermino, Marc Alvin R.
Published: (2015) -
ON THE WEAK SOLUTION OF THE WAVE EQUATION WITH VARIABLE COEFFICIENT
by: DEV KISHOR ANAND
Published: (2021) -
Basic concepts of partial differential equations
by: Ang, Stanford A., et al.
Published: (1995) -
Prediction of moisture migration and pore pressure development in concrete subjected to microwaves
by: RAMLAL PRAKASH
Published: (2010)