268 citations · 1.2k across the 36 of their papers we have counts for
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Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel
Babak Lashkar-Ara, Niloofar Kalantari, Zohreh Sheikh Khozani +1
One of the most important subjects of hydraulic engineering is the reliable estimation of the transverse distribution in the rectangular channel of bed and wall shear stresses. Thi…
Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming
Hossein Bonakdari, Isa Ebtehaj, Bahram Gharabaghi +2
This paper proposes a model based on gene expression programming for predicting the discharge coefficient of triangular labyrinth weirs. The parameters influencing discharge coeffi…
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
Alireza Hajipour, Arash Mirabdolah Lavasani, Mohammad Eftekhari Yazdi +3
In the present paper, an aerodynamic investigation of a high-speed train is performed. In the first section of this article, a generic high-speed train against a turbulent flow is…
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models
Zohreh Sheikh Khozani, Khabat Khosravi, Mohammadamin Torabi +3
Shear stress distribution prediction in open channels is of utmost importance in hydraulic structural engineering as it directly affects the design of stable channels. In this stud…
Experimental Estimation of Temporal and Spatial Resolution of Coefficient of Heat Transfer in a Channel Using Inverse Heat Transfer Method
Majid Karami, Somayeh Davoodabadi Farahani, Farshad Kowsary +1
In this research, a novel method to investigation the transient heat transfer coefficient in a channel is suggested experimentally, in which the water flow, itself, is considered b…