Assessment of artificial intelligence models for calculating optimum properties of lined channels

M Niazkar - Journal of Hydroinformatics, 2020 - iwaponline.com
Lined channels with trapezoidal, rectangular and triangular sections are the most common
manmade canals in practice. Since the construction cost plays a key role in water …

Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations

M Niazkar - KSCE Journal of Civil Engineering, 2019 - Springer
Abstract Application of Colebrook-White (CW) relation for calculating Darcy-Weisbach (DW)
friction factor has been widely accepted in literature. However, its implicit formation made it …

An Excel VBA‐based educational module for bed roughness predictors

M Niazkar - Computer Applications in Engineering Education, 2021 - Wiley Online Library
Estimation of flow resistance coefficients plays an inevitable role in open‐channel flows in
hydraulic modeling and water resources engineering. Despite many equations and methods …

Assessment of artificial intelligence models for estimating lengths of gradually varied flow profiles

M Niazkar, F Hajizadeh mishi, G Eryılmaz Türkkan - Complexity, 2021 - Wiley Online Library
The study of water surface profiles is beneficial to various applications in water resources
management. In this study, two artificial intelligence (AI) models named the artificial neural …

Bridge backwater estimation: A comparison between artificial intelligence models and explicit equations

M Niazkar, N Talebbeydokhti, SH Afzali - Scientia Iranica, 2021 - scientiairanica.sharif.edu
Estimation of bridge backwater has been one of practical challenges in hydraulic
engineering for decades. In this study, Genetic Programming (GP) has been applied for …

Developing a new accuracy-improved model for estimating scour depth around piers using a hybrid method

M Niazkar, SH Afzali - Iranian Journal of Science and Technology …, 2019 - Springer
In spite of various methods applied for determining scouring depth around piers, the
empirical models are the ones utilized in practice more than others. In this regard, the …

One dimensional hydraulic flow routing incorporating a variable grain roughness coefficient

M Niazkar, N Talebbeydokhti, SH Afzali - Water Resources Management, 2019 - Springer
The reach-average impacts of frictional forces, which retard flows in man-made channels
and natural streams, are basically taken into account by flow resistance coefficients. These …

Development of a new flow-dependent scheme for calculating grain and form roughness coefficients

M Niazkar, N Talebbeydokhti, SH Afzali - KSCE Journal of Civil …, 2019 - Springer
Estimating channel roughness is crucial for whatever engineering plans that have been in
mind for any reach under consideration. Not only is resistance coefficient not a measurable …

Optimum design of straight circular channels incorporating constant and variable roughness scenarios: assessment of machine learning models

M Niazkar - Mathematical Problems in Engineering, 2021 - Wiley Online Library
In this study, two machine learning (ML) models named as artificial neural network (ANN)
and genetic programming (GP) were applied to design optimum canals with circular shapes …

Evaluation of effective parameters of Manning roughness coefficients in HDPE culverts via kernel-based approaches

G Nassaji Matin - Journal of Hydroinformatics, 2022 - iwaponline.com
The prediction of Manning coefficients plays a prominent role in the estimation of head
losses along culvert systems. Although the Manning coefficient is treated as a constant …