PREDICTION OF SCOUR AROUND HYDRAULIC STRUCTURE USING SOFT COMPUTING TECHNIQUES

Authors

  • H. Md. Azamathulla H. Md. Azamathulla River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia
  • Aminuddin Ab Ghani River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia
  • Nor Azazi Zakaria River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia

DOI:

https://doi.org/10.11113/mjce.v22.15799

Keywords:

Keywords

Abstract

The problem of accurate prediction of the depth of scour around hydraulic structure (trajectory spillways) has been based on the experimental studies and the equations developed were mainly empirical in nature. This paper evaluates the performance of the soft computing techiques, Adaptive Neuro-Fuzzy System (ANFIS), for the prediction of scour around hydraulic structure. The results are very promising (AE = -0.09882 %, = 12.509 % and RMSE = 0.56921) and demonstrate the strength of these intelligent techniques in predicting highly nonlinear scour parameters.

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Published

2018-06-04

Issue

Vol. 22 No. 1 (2010)

Section

Articles

How to Cite

PREDICTION OF SCOUR AROUND HYDRAULIC STRUCTURE USING SOFT COMPUTING TECHNIQUES. (2018). Malaysian Journal of Civil Engineering, 22(1). https://doi.org/10.11113/mjce.v22.15799