Issue |
MATEC Web Conf.
Volume 95, 2017
2016 the 3rd International Conference on Mechatronics and Mechanical Engineering (ICMME 2016)
|
|
---|---|---|
Article Number | 07028 | |
Number of page(s) | 4 | |
Section | Mechanical Design-Manufacture and Automation | |
DOI | https://doi.org/10.1051/matecconf/20179507028 | |
Published online | 09 February 2017 |
Empirical Model and Validation of Bar Formation in Sand Bed Channel
1 Faculty of Civil Engineering, Universiti Teknologi MARA (UiTM), 26400 Jengka, Malaysia
2 Faculty of Civil Engineering, Universiti Teknologi MARA (UiTM), 40000 Shah Alam, Malaysia
3 Faculty of Mechanical Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
Both present experimental and previous historical data were used to develop the empirical model. Generally, the aim of this study to establish an empirical model of bar formation from the present experimental data and selected historical data. Statistical techniques using Multiple Linear Regression Analysis were employed for empirical model development and the selection of bar formation parameters were done based on the works of previous investigators. Validation of the newly developed empirical model was done by using a different set of historical data from selected laboratory studies. Model development involved selection of parameters through review of established models, dimensional analysis to check on the homogeneity of the model and statistical analysis. Derived empirical model has been validated using a different set of data from previous studies. Analysis confirmed that the empirical model derived using linear regression technique depicts the highest discrepancy ratio accuracy of 90% with and
as the most significant parameters that promote bar height formation.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.