Estimating the Scouring Depth of Bridge Pier Using Self-Organizing Neural Networks (SOM)
Journal Title: American Journal of Engineering and Applied Sciences - Year 2017, Vol 10, Issue 4
Abstract
Estimating the Scouring Depth of Bridge Pier Using Self-Organizing Neural Networks (SOM) Abolfazl Rafat, Gholam Abbas Barani and Amineh Naseri DOI : 10.3844/ajeassp.2017.959.964 American Journal of Engineering and Applied Sciences Volume 10, Issue 4 Pages 959-964 Abstract Scouring is caused as a result of erosion of river bed by water flow and materials carried by water. This research estimates the scouring depth using self-organizing neural network (SOM). The obtained findings were compared with findings of other models. It was found that self- organizing neural network (SOM) has higher correlation coefficient (0.98), compared to other methods. It was also found that root mean square error (RMSE = 0.112) is less than other methods. Estimating the depth of scouring using self-organizing neural network (SOM) method indicated that this method gives better findings, in a way that correlation coefficient in implementing the program with dimensional data is higher value compared to state in which program is implemented with non-dimensional data. In addition, Root Mean Square Error (RSME = 0.09) was seen less in the state of dimensional data. In the current research, using the sensitivity analysis showed that when SOM program is implemented with dimensional data, it will be more sensitive to parameter of average diameter of particles. Copyright © 2017 Abolfazl Rafat, Gholam Abbas Barani and Amineh Naseri. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Authors and Affiliations
Abolfazl Rafat, Gholam Abbas Barani, Amineh Naseri
Keywords
Related Articles
- EP ID EP248360
- DOI 10.3844/ajeassp.2017.959.964
- Views 64
- Downloads 0
Effects of Playing Surface and Shoe Type on ACL Tears in Soccer Players
Abstract Today, Anterior Cruciate Ligament (ACL) tears are one of the most prevalent knee injuries, with the occurrence of ACL tears increasing drastically from approximately 80 000 in 2000 to 150 000 in 2011. Although...
Preparation of LiCoMnO4 Assisted by Hydrothermal Approach and its Electrochemical Performance
Preparation of LiCoMnO4 Assisted by Hydrothermal Approach and its Electrochemical Performance Meilin You, Xingkang Huang, Min Lin, Qingsong Tong, Xiuhua Li, Ying Ruan and Yong Yang DOI : 10.3844/ajeassp.2016.396.405 Am...
Energy Audit of Health Care Facilities: Dynamic Simulation of Energy Performances and Energy-Oriented Refurbishment of System and Equipment for Microclimatic Control
Abstract Topic of the study is the investigation of potentialities of energy simulation for optimizing the building refurbishment, by taking into account impacts of both envelope renovation and HVAC system selection. En...
Numerical Simulation of Flexural-tensile Properties of Reinforced Concrete Beam
Abstract Reinforced concrete is a kind of typical composite and reinforced concrete structure is widely used in the construction of a kind of structure, the flexural-tensile properties is very important for structure de...
A Methodology for Continuous Evaluation of Cloud Resiliency
A Methodology for Continuous Evaluation of Cloud Resiliency Long Wang, Tiancheng Liu, Yue Zhang and Xiaoyong Yuan DOI : 10.3844/ajeassp.2016.264.273 American Journal of Engineering and Applied Sciences Volume 9, Issue...