Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

作者: Azadeh Gholami , Hossein Bonakdari , Mohammad Zeynoddin , Isa Ebtehaj , Bahram Gharabaghi

DOI: 10.1007/S00521-018-3411-7

关键词:

摘要: The geometric dimensions and bank profile shape of channels with boundaries containing particles on the verge motion (threshold channels) are significant factors in channel design. In this study, extensive experimental work was done at different flow velocities to propose a reliable method capable estimating stable profile. proposed is based gene expression programming (GEP). Laboratorial datasets obtained from Mikhailova et al. (Hydro Tech Constr 14:714–722, 1980), Ikeda (J Hydraul Div ASCE 107:389–406 1981), Diplas Eng 116:707–728, 1990) Hassanzadeh Civil Environ 43(4):59–68, 2014) were used train, test, validate examine GEP model various hydraulic conditions. results demonstrate that can estimate characteristics great accuracy (determination coefficient 0.973 mean absolute relative error 0.147). Moreover, for practical calculations dimensions, provides specific mathematical relationship solve problems discharge rates (Q) median grain sizes (D50). model’s performance compared 8 relationships suggested previously by researchers (based empirical theoretical analyses) using nonlinear regression data. polynomial VDM two exponential functions, i.e. IKM DIM, introduced as superior existing models. According present study results, predict trend well similar datasets. Sensitivity analysis also applied assess impact each input variable (x, Q D50) presented relationship. current suitable equation predicting channels.

参考文章(55)
Isa Ebtehaj, Hossein Bonakdari, Amir Hossein Zaji, Hamed Azimi, Ali Sharifi, Gene expression programming to predict the discharge coefficient in rectangular side weirs Applied Soft Computing. ,vol. 35, pp. 618- 628 ,(2015) , 10.1016/J.ASOC.2015.07.003
Cândida Ferreira, Gene Expression Programming: A New Adaptive Algorithm for Solving Problems. Complex Systems. ,vol. 13, ,(2001)
John Pitlick, Jeff Marr, Jim Pizzuto, Width adjustment in experimental gravel‐bed channels in response to overbank flows Journal of Geophysical Research. ,vol. 118, pp. 553- 570 ,(2013) , 10.1002/JGRF.20059
Syunsuke Ikeda, Self-Formed Straight Channels in Sandy Beds Journal of Hydraulic Engineering. ,vol. 107, pp. 389- 406 ,(1981) , 10.1061/JYCEAJ.0005644
Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, Ali Akbar Akhtari, Saeed Reza Khodashenas, Predicting the velocity field in a 90° Open channel bend using a gene expression programming model Flow Measurement and Instrumentation. ,vol. 46, pp. 189- 192 ,(2015) , 10.1016/J.FLOWMEASINST.2015.10.006
Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, Ali Akbar Akhtari, Simulation of open channel bend characteristics using computational fluid dynamics and artificial neural networks Engineering Applications of Computational Fluid Mechanics. ,vol. 9, pp. 355- 369 ,(2015) , 10.1080/19942060.2015.1033808
Yongqing Zhang, Yifei Pu, Haisen Zhang, Yabo Su, Lifang Zhang, Jiliu Zhou, Using gene expression programming to infer gene regulatory networks from time-series data Computational Biology and Chemistry. ,vol. 47, pp. 198- 206 ,(2013) , 10.1016/J.COMPBIOLCHEM.2013.09.004
Amir Hossein Alavi, Amir Hossein Gandomi, Hadi Chahkandi Nejad, Ali Mollahasani, Azadeh Rashed, None, Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems Neural Computing and Applications. ,vol. 23, pp. 1771- 1786 ,(2013) , 10.1007/S00521-012-1144-6