Prediction of the behaviour of braced excavation systems using bayesian neural networks
The study demonstrates that the artificial neural network approach is a viable alternative to evaluate the performance of braced excavation systems.
Saved in:
Main Author: | Chua, Chai Guan. |
---|---|
Other Authors: | Goh, Anthony Teck Chee |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/12179 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Influence of wall stiffness on braced excavation behaviour
by: Wong, Zachary Jun Jie
Published: (2017) -
Numerical study of pile behaviour adjacent to braced excavation in clay
by: Delin, Jonathan Louis
Published: (2021) -
Evaluation of soil constitutive model on braced excavation support behaviour
by: Sim, Zhi Hui.
Published: (2013) -
Comparative study on design of braced excavation systems
by: Toh, Yan Ting
Published: (2019) -
Effect of braced excavation in anisotropic soft clay
by: Goh, Bryan Zhen Yi
Published: (2020)