| Issue |
MATEC Web Conf.
Volume 250, 2018
The 12th International Civil Engineering Post Graduate Conference (SEPKA) – The 3rd International Symposium on Expertise of Engineering Design (ISEED) (SEPKA-ISEED 2018)
|
|
|---|---|---|
| Article Number | 04003 | |
| Number of page(s) | 7 | |
| Section | Hydraulic and Hydrology Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201825004003 | |
| Published online | 11 December 2018 | |
Prediction of bed profile due to complexity of sediment properties in the channel
1
Faculty of Civil Engineering, Universiti Teknologi MARA Pasir Gudang Campus, 81750 Masai, Johor, Malaysia
2
Faculty of Civil Engineering, Universiti Teknologi MARA Pasir Gudang Campus, 81750 Masai, Johor, Malaysia
3
Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
* Corresponding author: kayzul00@gmail.com
Numerous data on bed profile have been investigated yet the analysis to predict bed profile formation especially related to sediment properties are still insufficient. Objectives of this study to determine significant bed elevation profile pattern formed based on the complexity of sediment properties especially related to sediment size. The investigation is made by carried out a computer simulation of straight channel pattern with the fixed bank and movable sand bed. The study included the various hydraulic characteristics with steady flow rates and sediment properties. The simulations focus on three different sediment sizes with other variables namely channel size, flow rate and bed slope were kept constant. Analysis has included the discussion on a significant difference of bed elevation profile formed along the lateral and longitudinal distance. As a conclusion, the sediment size alone does not significantly change the bed elevation profile as its only gave minor effect to the bed profile changes.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.