{"title":"Modeling Aeration of Sharp Crested Weirs by Using Support Vector Machines","authors":"Arun Goel","country":null,"institution":"","volume":84,"journal":"International Journal of Mechanical and Mechatronics Engineering","pagesStart":2620,"pagesEnd":2626,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10002382","abstract":"The present paper attempts to investigate the\r\nprediction of air entrainment rate and aeration efficiency of a free\r\noverfall jets issuing from a triangular sharp crested weir by using\r\nregression based modelling. The empirical equations, Support vector\r\nmachine (polynomial and radial basis function) models and the linear\r\nregression techniques were applied on the triangular sharp crested\r\nweirs relating the air entrainment rate and the aeration efficiency to\r\nthe input parameters namely drop height, discharge, and vertex angle.\r\nIt was observed that there exists a good agreement between the\r\nmeasured values and the values obtained using empirical equations,\r\nSupport vector machine (Polynomial and rbf) models and the linear\r\nregression techniques. The test results demonstrated that the SVM\r\nbased (Poly & rbf) model also provided acceptable prediction of the\r\nmeasured values with reasonable accuracy along with empirical\r\nequations and linear regression techniques in modelling the air\r\nentrainment rate and the aeration efficiency of a free overfall jets\r\nissuing from triangular sharp crested weir. Further sensitivity analysis\r\nhas also been performed to study the impact of input parameter on the\r\noutput in terms of air entrainment rate and aeration efficiency.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 84, 2013"}