@article { author = {Ebtehaj, Isa and Bonakdari, Hossein}, title = {No-Deposition Sediment Transport in Sewers Using Gene Expression Programming}, journal = {Journal of Soft Computing in Civil Engineering}, volume = {1}, number = {1}, pages = {29-53}, year = {2017}, publisher = {Pouyan Press}, issn = {2588-2872}, eissn = {2588-2872}, doi = {10.22115/scce.2017.46845}, abstract = {The deposition of the flow of suspended particles has always been a problematic case in the process of flow transmission through sewers. Deposition of suspended materials decreases transmitting capacity. Therefore, it is necessary to have a method capable of precisely evaluating the flow velocity in order to prevent deposition. In this paper, using Gene-Expression Programming, a model is presented which properly predicts sediment transport in the sewer. In order to present Gene-Expression Programming model, firstly parameters which are effective on velocity are surveyed and considering every of them, six different models are presented. Among the presented models the best is being selected. The results show that using verification criteria, the presented model presents the results as Root Mean Squared Error, RMSE=0.12 and Mean Average Percentage Error, MAPE=2.56 for train and RMSE=0.14 and MAPE=2.82 for verification. Also, the model presented in this study was compared with the other existing sediment transport equations which were obtained using nonlinear regression analysis.}, keywords = {Bed load,Sediment transport,Sewer,No-deposition,Gene-Expression Programming}, url = {https://www.jsoftcivil.com/article_46845.html}, eprint = {https://www.jsoftcivil.com/article_46845_edbf71f986f538a32046c72950b67c92.pdf} }