PREDICTION OF BRIDGE PIER SCOUR USING GENETIC PROGRAMMING

Authors

Chuan-Yi Wang, Department of Water Resources Engineering and Conservation, Feng Chia University, Taichung, Taiwan, R.O.CFollow
Han-Peng Shih, Ph. D. Program in Civil and Hydraulic Engineering, Feng Chia University, Taichung, Taiwan, R.O.C.
Jian-Hao Hong, Taiwan Typhoon and Flood Research Institute, National Applied Research Laboratories, Taiwan, R.O.C
Rajkumar V Raikar, Department of Civil Engineering, KLE Dr. M. S. Sheshgiri College of Engineering and Technology, Belgaum, India

Abstract

This paper presents the use of genetic programming (GP) as a tool to predict pier scour depths based on clear-water conditions of laboratory measurements by past researchers. Four main dimensionless parameterspier width, approaching flow depth, threshold flow velocity, and channel open-ratio are considered for predicting the scour depth. The performance of the GP equation is verified by comparing the results with those obtained by empirical equations. It is found that the scour depth at bridge piers can be efficiently predicted using the GP model. The advantage of the GP model is confirmed by comparing the GP results of scour depths with the largescale model studies and field data

Recommended Citation

Wang, Chuan-Yi; Shih, Han-Peng; Hong, Jian-Hao; and Raikar, Rajkumar V (2013) "PREDICTION OF BRIDGE PIER SCOUR USING GENETIC PROGRAMMING," Journal of Marine Science and Technology: Vol. 21: Iss. 4, Article 13.
DOI: 10.6119/JMST-013-0523-1
Available at: https://jmstt.ntou.edu.tw/journal/vol21/iss4/13