Simulation of bridge pier scour depth base on geometric characteristics and field data using support vector machine algorithm
نویسندگان
1 Department of Civil Engineering, Faculty of Engineering, University of Maragheh, East Azerbaijan, Iran.
2 Department of Civil Engineering, Faculty of Engineering, University of Maragheh, East Azerbaijan, Iran.
3 Department of Civil Engineering, Ramhormoz Branch, Islamic Azad University, Ramhormoz, Iran.
4 Department of Mechanical Engineering, Faculty of Engineering, University of St. Thomas, St Paul, MN, USA.
5 Department of Civil Engineering, Faculty of Engineering, University of Maragheh, East Azerbaijan, Iran.
doi
10.22126/arww.2021.5747.1189چکیده
In this paper, two groups of datasets including Froehlich (1988) and USGS were implemented to simulate scour depth for bridge piers of three shapes (circular, sharp-nose and rectangular) using support vector machine (SVM) algorithm. The results of the SVM were compared with gene expression programming (GEP) and the non-linear regression model. Independent parameters extracted using dimensional analysis were Froud number (Fr), the ratio of pier length to pier width (L/b), the ratio of sediment particle diameters (d50/d84), the ratio of sediment mean size to pier width (d50/b) and attack angle of water flow (α). Different combinations of independent variables were used to achieve optimum performance of the simulator. The results showed that among three simulators, the SVM algorithm had the best performance to predict local scour depth. The sensitivity analysis revealed that among independent parameters, the descending order of effectivity was Fr, sediment size, L/b, and α.
